00899231

PROCEEDINGS

/c/ I I

2000 International Conference

/ P

on Image Processing

/

Volume IIIof I11

September 10 - 13,2000 Vancouver Convention & Exposition Centre

Vancouver, British Columbia, Canada

Sponsored by

The Institute of Electrical and Electronics Engineers Signal Processing Society

Copyright 02000 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

Copyright and Reprint Permission: Abstracting is permitted with credit to the source. Libraries are per- mitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-copy fee indicated in the code is paid through the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For other copy- ing, reprint or republication permission, write to IEEE Copyrights Manager, IEEE Operations Center, 445 Hoes Lane, P.O. Box 133 1, Piscataway, NJ 08855- 133 1. All rights reserved. Copyright 02000 by the Institute of Electrical and Electronics Engineers, Inc.

The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors, the IEEE Signal Processing Society, or the Institute of Electrical and Electronics Engineers, Inc.

IEEE Catalog Number 00CH37 101 ISBN 0-7803-6297-7 (paper)

ISBN 0-7803-6298-5 (casebound) ISBN 0-7 803 -6299-3 (microfiche)

ISSN 1522-4880

Editorial production by Billene Mercer and Conference Management Services

Cover art designed by Sara M. Wingfield

Cover art production by James A. Wingfield

Printed in Canada by Print 'n Run

The Institute of Electrical and Electronics Engineers, Inc.

TABLE OF CONTENTS Volume I

MAO1: DIGITAL, STEREOSCOPIC AND 3-D IMAGING HOME BASED 3D ENTERTAINMENT . AN OVERVIEW .......................................... I . 1 P. Harman, Dynamic Digital Depth Research Pty., Ltd., Australia

HUMAN PERCEPTION OF MISMATCHED STEREOSCOPIC 3D INPUTS .................... I . 5 L. Stelmach, W. Tam, D. Meegan, A. Vincent, P. Corriveau, Communications Research Centre, Canada

'JUST ENOUGH REALITY', MICROSTEREOPSIS AND THE PROSPECT OF ................ I . 9 ZONELESS AUTOSTEREOSCOPIC DISPLAYS M. Siegel, Camegie Mellon University, USA

SCENE RECONSTRUCTION FROM MULTIPLE CAMERAS ..................................... I . 13

3D MANIPULATION OF MOTION IMAGERY. ...................................................... I . 17

HIERARCHICAL REPRESENTATION AND CODING OF SURFACES USING 3D.. ......... I . 21

R. Szeliski, Microsoft Research, USA

R. Kumar, H. Sawhney, Y. Guo, S. Hsu, S. Samarasekera, Samoff Corporation, USA

POLYGON MESHES I. Kompatsiaris, M. Strintzis, Aristotle University of Thessaloniki, Greece

MA02: FACE RECOGNITION A NEW FORCE FIELD TRANSFORM FOR EAR AND FACE RECOGNITION ................ I . 25 D. Hurley, M. Nixon, J. Carter, University of Southampton, United Kingdom

USING SUPPORT VECTOR MACHINES FOR FACE AUTHENTICATION BASED ON ..... I . 29 ELASTIC GRAPH MATCHING A. Tefas, C. Kotropoulos, I . Pitas, Aristotle University of Thessaloniki, Greece

MAXIMUM LIKELIHOOD TRAINING OF THE EMBEDDED HMM FOR FACE .............. I . 33 DETECTION AND RECOGNITION A. Nejian, M. Hayes I l l , Georgia Institute of Technology, USA

FACE M.-H. Yang, N. Ahuja, D. Kriegman, University of Illinois at Urbana-Champaign, USA

RECOGNITION USING KERNEL EIGENFACES ............................................I . 37

ROBUST IMAGE BASED FACE RECOGNITION... ................................................. I . 41

GABOR ATTRIBUTES TRACKING FOR FACE VERIFICATION ................................ I . 45

W. Zhao, Sarnoff Corporation, USA, R. Chellappa, University of Maryland, USA

B. Li, R. Chellappa, University of Maryland, College Park, USA

DETECTION OF EYES FROM HUMAN FACES BY HOUGH TRANSFORM AND ........... I . 49 SEPARABILITY FILTER T. Kawaguchi, D. Hidaka, M. Rizon, Oita University, Japan

FACE DETECTION AND TRACKING IN VIDEO USING DYNAMIC PROGRAMMING ..... I . 53 Z. Liu, Y. Wang, Polytechnic University, USA

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MA03: IMAGE AND VIDEO DATABASES I THE ROLE OF MASSIVE COLOR QUANTIZATION IN OBJECT RECOGNITION ........... I . 57

EXTRACTION OF PERCEPTUALLY IMPORTANT COLORS AND SIMILARITY,. .......... I . 61

S. Redfield, J. Harris, University of Florida, USA

MEASUREMENT FOR IMAGE MATCHING A. Mojsilovic, IBM T.J. Watson Research Center, USA, J. Hu, Bell Laboratories, Lucent Technologies, USA

GROUP-OF-FRAMES/PICTURES COLOR HISTOGRAM DESCRIPTORS FOR .............. I . 65 MULTIMEDIA APPLICATIONS A. Ferman, University of Rochester, USA, S. Krishnamachari, Philips Research, USA, A. Tekalp, University of Rochester, USA, M. Abdel-Mottaleb, Philips Research, USA, R. Mehrotra, Eastman Kodak Company, USA

HIERARCHICAL HISTOGRAMS . A NEW REPRESENTATION SCHEME FOR .............. I . 69

S. Kumar, Bell Laboratories, USA, G. Seetharaman, University of Louisiana, USA

IMAGE RETRIEVAL THROUGH SHAPE MATCHING OF PARTIALLY OCCLUDED.. ..... I . 73 OBJECTS USING HIERARCHICAL CONTENT DESCRIPTION Y. Xu, University of Rochester, USA, E. Saber, Xerox Corporation and University of Rochester, USA, A. Tekalp, Univeristy of Rochester, USA

IMAGE-BASED DATA RETRIEVAL

REGION-BASED IMAGE RETRIEVAL ................................................................. I . 77 J. - W. Hsieh, Industrial Technology Research Institute, Taiwan, W. Grimson, Massachusetts Institute of Technology, USA, C. -C. Chiang, Y . 3 . Huang, Industrial Technology Research Institute, Taiwan

DISTRIBUTIONAL CLUSTERING FOR EFFICIENT CONTENT-BASED RETRIEVAL.. .... I . 81 OF IMAGES AND VIDEO G. lyengar, IBM T.J. Watson Research Center, USA, A. Lippman, Massachusetts Institute of Technology, USA

EFFICIENT VIDEO SIMILARITY MEASUREMENT AND SEARCH ............................ I . 85 S.-C. Cheung, A. Zakhor, University of Califomia, Berkeley, USA

MA04: IMAGE RESTORATION I MAXIMUM ENTROPY IMAGE RESTORATION REVISITED. .................................... I . 89 M. Willis, B. Jeff$ D. Long, Brigham Young University, USA

A METHOD FOR CHOOSING THE REGULARIZATION PARAMETER IN GENERALIZED TIKHONOV REGULARIZED LINEAR INVERSE PROBLEMS S. Oraintara, W. Karl, D. Castanon, T. Nguyen, Boston University, USA

ACCELERATION OF FILTERING AND ENHANCEMENT OPERATIONS THROUGH.. ..... I . 97

M. Garcia, Rovira i Virgili University, Spain, B. Vintimilla, Polytechnic University of Catalonia, Spain

. . . . . . . . . . . . . . . I . 93

GEOMETRIC PROCESSING OF GRAY-LEVEL IMAGES

INVERSE FILTERS FOR RECONSTRUCTION O F ARBITRARILY FOCUSED IMAGES ... I . 101 FROM TWO DIFFERENTLY FOCUSED IMAGES A. Kubota, K. Aizawa, University of Tokyo, Japan

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A BLIND RESTORATION SYSTEM OF BLURRED AND NOISY NUMERICAL IMAGES.. I - 105 B. Vozel, K. Chehdi, M.-P. Carton-Vandecandelaere, University of Rennes I, France

PARTITIONED SEPARABLE PARABOLOIDAL SURROGATE COORDINATE ASCENT. .. I . 109 ALGORITHM FOR IMAGE RESTORATION S. Sotthivirat, J. Fessler, University of Michigan, USA

IMAGE RESTORATION BY FUZZY CONVEX ORDINARY KRIGING .......................... I . 113 T. Pham, M. Wagner, University of Canberra, Australia

CLOSED-FORM RECONSTRUCTION OF IMAGES FROM IRREGULAR 2-D ................ I . 117 DISCRETE FOURIER SAMPLES USING THE GOOD-THOMAS FFT A. Yagle, University of Michigan, USA

MA05: LOSSLESS AND NEAR-LOSSLESS COMPRESSION BLOCK-BASED ADAPTIVE LOSSLESS IMAGE CODER .......................................... I . 120 S. Sudharsanan, P. Sriram, Sun Microsystems, Inc., USA

SOME SIMPLE PARAMETRIC LOSSLESS IMAGE COMPRESSORS.. ........................ I . 124 M. Slyz, D. Neuhofi University of Michigan, USA

ADAPTIVE LINEAR PREDICTION FOR LOSSLESS CODING OF GREYSCALE.. .......... I . 128 IMAGES H. Ye, G. Deng, J. Devlin, La Trobe University, Australia

LOSSLESS CODING OF STILL IMAGES USING MINIMUM-RATE PREDICTORS.. ....... I . 132 I. Matsuda, H. Mori, S. Itoh, Science University of Tokyo, Japan

EVALUATION OF LOSSLESS COMPRESSION METHODS FOR GRAY SCALE ............ I . 136 DOCUMENT IMAGES A. Savakis, Rochester Institute of Technology, USA

JBIG2 . THE ULTIMATE BI-LEVEL IMAGE CODING STANDARD. ............................ I . 140 F. Ono, Tokyo Institute of Polytechnics, Japan, W. Rucklidge, Intelligent Markets, USA, R. Arps, C. Constantinescu, IBM Almaden Research Center, USA

A CONTEX-BASED PREDICTIVE CODER FOR LOSSLESS AND NEAR-LOSSLESS ...... I . 144 COMPRESSION OF VIDEO K. Yang, A. Faryar, Lucent Technologies, Bell Labs, USA

NEAR LOSSLESS IMAGE COMPRESSION BY RELAXATION LABELED PREDICTION.. I - 148 B. Aiazi , S. Baronti, Istituto di Ricerca sulle Onde Elettromagnetiche, Italy, L. Alparone, University of Firenze, Italy

MA06: MEDICAL IMAGE PROCESSING MULTI-FEATURE ANALYSIS AND CLASSIFICATION OF HUMAN CHROMOSOME.. ... I . 152 IMAGES USING CENTROMERE SEGMENTATION ALGORITHMS P. Mousavi, R. Ward, University of British Columbia, Canada, P. Lunsdotp, Terly Fox Laboratory, Canada, S. Fels, University of British Columbia, Canada

ANALYSIS OF DOPPLER ULTRASOUND TIME FREQUENCY IMAGES USING.. .......... I . 156 DEFORMABLE MODELS J. -M. Odobez, Universite du Maine, France, E. Roy, P. Abraham, Centre Hospitalier Universitaire, France

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A VARIATIONAL ENERGY APPROACH FOR ESTIMATING VASCULAR ........... 1 . 160

R. Chan, Boston Heart Foundation, USA, J. Kaujhold, W. Karl, Boston University, USA, R. Lees, Boston Heart Foundation, USA, D. Castanon, Boston University, USA

ANALYSIS AND CLASSIFICATION OF TISSUE SECTION IMAGES USING ................ I . 164 DIRECTIONAL FRACTAL DIMENSION FEATURES C. Shang, C. Daly, J. McGrath, J. Barker, University of Glasgow, United Kingdom

INTERNAL STRUCTURE ANALYSIS OF PULMONARY NODULES IN TOPOLOGICAL.. I - 168 AND HISTOGRAM FEATURE SPACES Y. Kawata, N. Niki, University of Tokushima, Japan, H. Ohmatsu, National Cancer Center East, Japan, M. Kusumoto, National Cancer Center, Japan, R. Kakinuma, National Cancer Center East, Japan, K. Mori, Tochigi Cancer Center, Japan, H. Nishiyama, Social Health Medical Center, Japan, K. Eguchi, National Shikoku Cancer Center, Japan, M. Kaneko, N. Moriyama, National Cancer Center, Japan

REAL TIME ADAPTIVE ULTRASOUND SPECKLE REDUCTION AND COHERENCE.. ... I . 172 ENHANCEMENT K. Abd-Elmoniem, Y. Kadah, A.-B. YousseJ Cairo University, Egypt

ANALYSIS O F CORNEAL IMAGES FOR ASSESSING CONTACT LENS TRAUMA... ..... I . 176 J. Cullen, P. Fieguth, S. Pounder, K. Whitear, University of Waterloo, Canada

COMPUTER AIDED DIAGNOSIS SYSTEM WITH FUNCTIONS TO ASSIST ....... I . 180 COMPARATIVE READING FOR LUNG CANCER BASED ON HELICAL CT IMAGE T. Yamamoto, Y. Ukai, M. Kubo, N. Niki, University of Tokushima, Japan, H. Satoh, Toshiba Corporation, Japan, K. Eguchi, National Shikoku Cancer Center Hospital, Japan

AN UNSUPERVISED SCHEME FOR DETECTION O F MICROCALCIFICATIONS ON ..... I . 184 MAMMOGRAMS T. Bhangale, U. Desai, U. Sharrna, Indian Institute of Technology-Bombay, India

COMPUTERIZED CHARACTERIZATION O F CONTRAST ENHANCEMENT.. ............... I . 188 PATTERNS FOR CLASSIFYING PULMONARY NODULES N. Takagi, Y. Kawata, N. Niki, University of Tokushima, Japan, K. Mori, Tochigi Cancer Center, Japan, H. Ohmatsu, R. Kakinuma, National Canter Center Hospital East, Japan, K. Egichi, National Cancer Center Hospital, Japan, M. Kusumoto, M. Kaneko, N. Moriyama, National Shikoku Canter Center Hospital, Japan

ANALYSIS OF COLOR IMAGES O F TISSUES DERIVED FROM PATIENTS WITH ........ I . 192 ADENOCARCINOMA OF THE LUNG M. Sammouda, N. Niki, University of Tokushima, Japan, T. Niki, N. Yamaguchi, National Cancer Center, Japan

ACTIVE CONTOURS FOR THE MOVEMENT AND MOTILITY ANALYSIS OF. ............. I . 196 BIOLOGICAL OBJECTS V. Meas-Yedid, J.-C. Olivo-Marin, lnstitut Pasteur, France

STRUCTURE AND DEFORMATION FROM B-MODE ULTRASOUND IMAGERY

VOLUME REGISTRATION BY SURFACE POINT SIGNATURE AND MUTUAL ... I . 200 INFORMATION MAXIMIZATION WITH APPLICATIONS IN INTRA-OPERATIVE MRI SURGERIES A. Eldeib, University of Louisville, USA, S. Yamany, Old Dominion University, USA, A. Farag, University of Louisville, USA

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MA07: IMAGE SEQUENCE PROCESSING REDUCTION OF INHERENT AMBIGUITIES IN STRUCTURE FROM MOTION ............. 1 . 204 PROBLEM USING INERTIAL DATA G. Qian, Q. Zheng, R. Chellappa, University of Maryland, College Park, USA

SPATIO-TEMPORAL WIENER FILTERING OF IMAGE SEQUENCES USING A ............. I . 208 PARAMETRIC MOTION MODEL F. Dekeyser, P. Bouthemy, P. Pe‘rez, IRISA/INRIA, France

DETECTING ASSEMBLY ACTIONS BY SCENE OBSERVATION ............................... I . 212 J. Fritsch, F. Lomker, M. Wienecke, G. Sagerer, Bielefeld University, Germany

COMBINED DYNAMIC TRACKING AND RECOGNITION OF CURVES WITH ............... I . 216 APPLICATION TO ROAD DETECTION J. -P. Tarel, LIVIC, France, F, Guichard, PoseidonNision IQ, France

ADAPTIVE RESOLUTION IMAGE ACQUISITION USING IMAGE MOSAICING.. ........... I . 220 TECHNIQUE FROM VIDEO SEQUENCE S. Takeuchi, D. Shibuichi, N. Terashima, H. Tominaga, Waseda University, Japan

UNDERWATER VIDEO MOSAICING FOR SEABED MAPPING... .............................. I . 224 Y. Rzhanov, L. Linnett, University of New Hampshire, USA, R. Forbes, Heriot- Watt University, United Kingdom

ERROR STABILIZATION IN SUCCESSIVE ESTIMATION OF REGISTRATION.. ........... I . 228 PARAMETERS V. Zagorodnov, P. Ramadge, Princeton University, USA

EFFICIENTLY ESTIMATING PROJECTIVE TRANSFORMATIONS ............................ I . 232 R. Radke, P. Ramadge, Princeton University, USA, T. Echigo, IBM Research, Tokyo Research Laboratory, Japan, S. -I. lisaku, Ministry of Posts and Telecommunications, Japan

A MONOCULAR VISION SYSTEM FOR AUTONOMOUS VEHICLE GUIDANCE.. .......... I . 236

SELF LEARNING VIDEO FILTERS FOR WAVELET CODED VIDEOSTREAMS ............. I . 240

CHANGE DETECTION METHODS FOR AUTOMATIC SCENE ANALYSIS BY USING ..... I . 244

A. Maganto, J. Menendez, L. Salgado, E. Rendon, N. Garcia, Universidad Politecnica de Madrid, Spain

A. Kassler, A. Neubeck, University of Ulm, Germany

MOBILE SURVEILLANCE CAMERAS L. Marcenaro, F. Oberti, C. Regauoni, University of Genoa, Italy

DETECTION OF NON-UNIFORM MOTION IN IMAGE SEQUENCES USING A .............. I . 248 REDUCED ORDER LIKELIHOOD RATIO TEST G. Foster, N. Namazi, Catholic University of America, USA

MA08: IMAGE MODELING NONLINEAR PREDICTION IN THE 2D WOLD DECOMPOSITION FOR TEXTURE.. ....... I . 252 MODELING P. Campisi, A. Neri, Universita‘ degli Studi di Roma “Roma Tre ”, Italy, G. Scarano, Universita’ degli Studi di Roma “La Sapienza”, Italy

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A NEW APPROACH FOR IMAGE-CONTENT ADAPTIVE MESH GENERATION ............ I . 256 J. Lee, Y. Yang, M. Wemick, Illinois Institute of Technology, USA

RANDOM CASCADES OF GAUSSIAN SCALE MIXTURES AND THEIR USE IN ........... I . 260 MODELING NATURAL IMAGES WITH APPLICATION TO DENOISING M. Wainwright, Massachusetts Institute of Technology, USA, E. Simoncelli, New York University, USA, A. Willsky, Massachusetts Institute of Technology, USA

A MORPHOLOGICAL ESTIMATOR FOR CLIQUE POTENTIALS OF BINARY .............. I . 264 MARKOV RANDOM FIELDS K. Sivakumar, Washington State University, USA, J. Goutsias, Johns Hopkins University, USA

CONSTRUCTION O F A 3D PHYSICALLY-BASED MULTI-OB JECT DEFORMABLE ....... I . 268 MODEL G. Bueno, C. Nikou, 0. Musse, F. Heitz, J.-P. Armspach, University of Strasbourg I, France

TEXTURE MODELING AND CLASSIFICATION IN WAVELET FEATURE SPACE ......... I . 272 M. Noun Shirazi, Communications Research Laboratory, Japan, H. Noda, N. Takao, Kyushu Institute of Technology, Japan

AN ADAPTIVE MODEL FOR TEXTURE ANALYSIS ............................................... I . 276 Y. Huang, K. Chan, Z. Huang, Nanyang Technological University, Singapore

MODELLING PROFILES WITH A MIXTURE O F GAUSSIANS .................................. I . 280 J. Orwell, D. Greenhill, J. Rymel, G. Jones, Kingston University, United Kingdom

GENERATION OF 3-D HEAD MODELS FROM MULTIPLE IMAGES USING. ................ I . 284 ELLIPSOID APPROXIMATION FOR THE REAR PART. N. Grammalids, N. Sarris, C. Varzokas, M. Strintzis, Aristotle University of Thessaloniki, Greece

TWO DIMENSIONAL VOLTERRA PARAMETER ESTIMATION USING A ZERO.. ......... I . 288 TOLERANCE OPTIMISATION FORMULATION G. Stathakis, T. Stathaki, Imperial College, United Kingdom

USING VECTOR QUANTIZATION TO BUILD NONLINEAR FACTORIAL MODELS OF... 1 . 292

DATA P. Penev, Rockefeller University, USA, M. Gegiu, E. Kaplan, Mount Sinai School of Medicine, USA

A DEFORMABLE TEMPLATE MODEL BASED ON FUZZY ALIGNMENT ALGORITHM .. I - 296 Z. Xue, Nanyang Technological University, Singapore, D. Shen, Johns Hopkins University, USA, E. Teoh, Nanyang Technological University, Singapore

THE LOW-DIMENSIONAL INDEPENDENT MANIFOLDS IN OPTICAL IMAGING

MA09: VIDEO OBJECT SEGMENTATION AND TRACKING

MOTION-BASED VIDEO SEGMENTATION USING FUZZY CLUSTERING AND ............ I . 300 CLASSICAL MIXTURE MODEL S. Nitsuwat, J. Jin, University of New South Wales, Australia, M. Hudson, Macquarie University, Australia

SEMI-AUTOMATIC SEMANTIC OBJECT EXTRACTION FOR VIDEO CODING.. ........... I . 304 Z. Lu, W. Pearlman, Rensselaer Polytechnic Institute, USA

OBJECTIVE EVALUATION OF RELATIVE SEGMENTATION QUALITY ...................... I . 308 P. Correia, F. Pereira, Instituto Superior Tecnico / Instituto de Telecomunicacdes, Portugal

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PARTITION-BASED IMAGE REPRESENTATION AS BASIS FOR USER-ASSISTED.. ..... I . 312 SEGMENTATION F. Marques, University Polyt2cnica Catalunya, Spain, B. Marcotegui, F. Zanoguera, CMM, France, P. Correia, IST, Portugal, R. Mech, M. Wollbom, University of Hannover, Germany

REAL-TIME OBJECT TRACKING WITH MOVELS AND AFFINE... ............................ I . 316 TRANSFORMATIONS G. Ianniuotto, University of Messina, Italy, L. Vita, University of Catania, Italy

DATA-DRIVEN NONLINEAR DIFFUSION FOR OBJECT SEGMENTATION.. ................ I . 319 L.-Q. Xu, BT Advanced Communications Research, United Kingdom, E. Izquierdo, Queen Mary and Westjield College, United Kingdom

A NOVEL RIGID OBJECT SEGMENTATION METHOD BASED ON ............................ I . 323 MULTIRESOLUTION 3-D MOTION AND LUMINANCE ANALYSIS T. Papadimitriou, University of Macedonia, Greece, K. Diamantaras, Technological Education Institute, Greece, M. Strintzis, Aristotle University of Thessaloniki, Greece, M. Roumeliotis, University of Macedonia, Greece

NEW RULE-BASED FRAMEWORK FOR POST-PROCESSING MERGING IN VIDEO ...... I . 327 SEQUENCE SEGMENTATION L. Martel, Universite Laval, Canada, A. Zaccarin, Intel Corporation, USA

ROBUST 2D SHAPE ESTIMATION OF MOVING OBJECTS CONSIDERING SPATIAL .... I . 331 AND TEMPORAL COHERENCY IN ONE MAP DETECTION RULE R. Mech, University of Hannover, Germany

ROBUST ALGORITHMS FOR RECOGNIZING SHAPE CHANGES OF DEFORMABLE... .. I . 335 LINEAR OBJECTS I N VIDEO IMAGE SEQUENCES F. Abegg, H. Wom, Universitat Karlsruhe, Germany

AN IMPROVED VIDEO OBJECT TRACKING ALGORITHM BASED ON MOTION .......... I . 339

J . Lim, H. Cho, J. Ra, Korea Advanced Institute of Science and Technology, South Korea RE-ESTIMATION

MESH-BASED SEGMENTATION AND UPDATE FOR OBJECT-BASED VIDEO .............. I . 343 M. Gokcetekin, M. Harmanci, I. Celasun, Istanbul Technical University, Turkey, A. Tekalp, University of Rochester, USA

MULTIPLE-FACE TRACKING SYSTEM FOR GENERAL REGION-OF-INTEREST.. ........ I . 347 VIDEO CODING L. Yang, Intel Corporation, USA, M. Robertson, Univeristy of Notre Dame , USA

VEHICLE DETECTION AND TRACKING I N VIDEO... ............................................ I . 351 A. Rajagopalan, R. Chellappa, University of Maryland, USA

MA10: SOURCE-CHANNEL CODING RATE-DISTORTION OPTIMAL JOINT SOURCE/CHANNEL CODING FOR ROBUST ...... I . 355 AND EFFICIENT LOW BIT RATE PACKET VIDEO COMMUNICATIONS M. Gallant, F. Kossentini, University of British Columbia, Canada

MODELING OF OPERATIONAL DISTORTION-RATE CHARACTERISTICS FOR JOINT.. I 359 SOURCE-CHANNEL CODING OF VIDEO M. Bystrom, Drexel University, USA, T. Stockhammer, Munich University of Technology, Germany

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ON THE TRANSMISSION OF A CLASS OF HIDDEN MARKOV SOURCES OVER ......... I . 363 GAUSSIAN CHANNELS WITH APPLICATIONS TO IMAGE COMMUNICATION I. Kozintsev, Intel Corporation, USA, K. Ramchandran, University of Califomia, Berkeley, USA

APPROXIMATELY OPTIMAL ASSIGNMENT FOR UNEQUAL LOSS PROTECTION.. ..... I . 367

A JOINT SOURCE-CHANNEL CODING APPROACH TO SCALABLE DELIVERY OF.. .... I . 371

A. Mohr, R. Ladner, E. Riskin, University of Washington, USA

DIGITAL VIDEO OVER ATM NETWORK R. Kurceren, J. Modestino, Rensselaer Polytechnic Institute, USA

ROBUST IMAGE TRANSMISSION USING JPEG2000 AND TURBO-CODES ................. I . 375

MULTI-STAGE VECTOR QUANTIZER DESIGN FOR IMAGE TRANSMISSION OVER.. .. I . 379

B. Banister, B. Belzer, T. Fischer, Washington State University, USA

PACKET NETWORKS H. Khalil, K. Rose, University of Califomia, Santa Barbara, USA

OPTIMIZATION O F DYNAMIC UEP SCHEMES FOR EMBEDDED IMAGE SOURCES .... I . 383 I N NOISY CHANNELS M. Zhao, A. Akansu, New Jersey Institute of Technology, USA

SCALABLE, HIGHLY EFFICIENT, AND ERROR RESILIENT IMAGE TRANSMISSION .. I - 387

J. Vass, Eyeball.com Network Inc., Canada, X . Zhuang, University of Missouri-Columbia, USA BY USING JOINT SOURCE-CHANNEL CODING STRATEGIES

MULTIPLE DESCRIPTION CODING USING TRELLIS CODED QUANTIZATION.. ......... I . 391 X. Wang, M. Orchard, Princeton University, USA

A MULTI-CHANNEL CHANNEL-OPTIMIZED SCHEME FOR EZW USING.... ............... I . 395 RATE-DISTORTION FUNCTIONS J. -C. Liu, National Taiwan University and Academia Sinica, Taiwan, W.-L. Hwang, Academia Sinica, Taiwan, W.-J. Hwang, Chung Yuan Christian University, Taiwan, M. -S. Chen, National Taiwan University, Taiwan

TRADE-OFF BETWEEN SOURCE AND CHANNEL CODING FOR VIDEO .................... I . 399 TRANSMISSION K. Stuhlmueller, N. Farber, University of Erlangen-Nuremberg, Germany, B. Girod, Stanford University, USA

MAl1: WATERMARKING I IMAGE WATERMARKING WITH BETTER RESILIENCE........ ................................. I . 403 R. Venkatesan, M. Jakubowski, Microsoft Research, USA

HOW TO ACHIEVE ROBUSTNESS AGAINST SCALING IN A REAL-TIME DIGITAL ...... I . 407 WATERMARKING SYSTEM FOR BROADCAST MONITORING P. Termont, L. De Strycker, J. Vandewege, University of Gent, Belgium, M. Op de Beeck, J. Haitsma, T. Kalker, M. Maes, G. Depovere, Philips Research Eindhoven, The Netherlands

COPYRIGHT PROTECTION OF STILL IMAGES USING SELF-SIMILAR CHAOTIC.. ..... I . 411 WATERMARKS S. Tsekeridou, N. Nikolaidis, N. Sidiropoulos, I. Pitas, Aristotle University of Thessaloniki, Greece

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A NEW SPREAD SPECTRUM WATERMARKING METHOD WITH. ............................ I . 415 SELF-SYNCHRONIZATION CAPABILITIES I. Mora-Jimenez, A. Navia- Vazquez, University Carlos I l l de Madrid, Spain

A MODIFIED ROBUST EMBEDDING SCHEME FOR FAITHFUL WATERMARK.. .......... I . 419 EXTRACTION T . 4 Liang, J. Rodriguez, University of Arizona, USA

ENERGY ALLOCATION FOR HIGH-CAPACITY WATERMARKING I N THE ................. I . 423 PRESENCE OF COMPRESSION D. Kundur, University of Toronto, Canada

SECRET KEY WATERMARKING WITH CHANGING KEYS. ..................................... I . 427 G. Depovere, T. Kalker, Philips Research, The Netherlands

COMPRESSION TOLERANT WATERMARKING FOR IMAGE VERIFICATION.. ............ I . 430 H. Bassali, University of Massachusetts, USA, J. Chhugani, Johns Hopkins University, USA, S. Agarwal, University of Texas, USA, A. Aggarwal, P. Dubey, IBM India Research Lab, India

EFFICIENT DETECTION OF A SPATIAL SPREAD-SPECTRUM WATERMARK IN.. ...... I . 434 MPEG VIDEO STREAMS T. Kalker, J. Haitsma, Philips Research, The Netherlands

DIGITAL WATERMARKING APPLIED TO MPEG-2 EXPLOITING SPACE AND FREQUENCY MASKING S. Arena, M. Caramma, R. Lancini, CEFRIEL, Italy

CODED VIDEO SEQUENCES ........ I . 438

A BLIND & READABLE WATERMARKING TECHNIQUE FOR COLOR IMAGES.. ......... I . 442 M. Caramma, R. Lancini, F. Mapelli, S. Tubaro, CEFRIEL, Italy

NEW FRAGILE AUTHENTICATION WATERMARK FOR IMAGES ............................. I . 446 J. Fridrich, M. Goljan, State University of New York, Binghamton, USA, A. Baldoza, U. S. Air Force, USA

WAVELET PACKET AND ADAPTIVE SPATIAL TRANSFORMATION O F .................... I . 450 WATERMARK FOR DIGITAL IMAGE AUTHENTICATION M . J . Tsai, National Chiao-Tung University, Taiwan, K.-Y. Yu, Institute for Information Industry, Taiwan, Y.-Z. Chen, National Chiao-Tung University, Taiwan

A DCT-DOMAIN BLIND WATERMARKING SYSTEM USING OPTIMUM DETECTION.. .. I . 454 ON LAPLACIAN MODEL Q. Cheng, T. Huang, University of Illinois at Urbana-Champaign, USA

CONTENT AUTHENTICATION AND TAMPER DETECTION IN DIGITAL VIDEO.. ......... I . 458 B. Mobasseri, Villanova University, USA, M. Sieffert, SUNY, Binghamton, USA, R. Simard, Air Force Research Laboratory, USA

MA12: IMAGE ANALYSIS

FINGERPRINT IMAGE RIDGE FREQUENCY ESTIMATION BY HIGHER ORDER.. ........ I . 462 SPECTRUM X. Jiang, Nanyang Technological University, Singapore

FACIAL EXPRESSION ANALYSIS BY INTEGRATING INFORMATION OF .................. I . 466 FEATURE-POINT POSITIONS AND GRAY LEVELS OF FACIAL IMAGES Y. Shinza, Hitachi, Ltd., Japan, Y. Saito, Y. Kenmochi, K. Kotani, Japan Advanced Institute of Science & Technology, Japan

EXAMINING THE EFFECTS OF BASIS FUNCTION TRUNCATION I N THE DGT .......... I . 470

APPLICATION OF FRACTALS TO THE DETECTION AND CLASSIFICATION OF ........ I . 474

J. Bloom, NEC Research Institute, USA, T. Reed, University of Califomia, Davis, USA

SHOEPRINTS A. Bouridane, A. Alexander, M. Nibouche, D. Crookes, Queen's University of Belfast, United Kingdom

EDGE DETECTION BY GENETIC ALGORITHM .................................................... I . 478 M. Lee, S. Leung, T. Pun, H. Cheung, City University of Hong Kong, China

IMAGE REGISTRATION WITH MINIMUM SPANNING TREE ALGORITHM ................. I . 481 B. Ma, A. Hero, University of Michigan, USA, J. Gorman, ERIM International, USA, 0. Michel, Ecole Normale Supeneure, France

QUANTITATIVE EVALUATION OF RANK-ORDER SIMILARITY OF IMAGES.. ............ I . 485 S. Etz, J. Luo, R. Gray, Eastman Kodak Company, USA, A. Singhal, University of Rochester, USA

PERCEPTUALLY BASED IMAGE COMPARISON . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 489 D. Tompa, J. Morton, E. Jernigan, University of Waterloo, Canada

ROBUST IMAGE REGISTRATION USING LOG-POLAR TRANSFORM ........................ I . 493 G. Wolberg, S. Zokai, City College of New York, USA

AN ITERATIVE ALGORITHM FOR THE PROJECTIVE REGISTRATION OF FREE ........ I . 497 FORM SURFACES Y. Liu, M. Rodrigues, Sheffield Hallam University, United Kingdom

DISTANCE CONSTRAINT BASED ITERATIVE STRUCTURE AND POSE .................... I . 501 ESTIMATION FROM A SINGLE IMAGE M. Rodrigues, Y. Liu, Shefield Hallam University, United Kingdom

TOPOLOGY PRESERVING DEFORMABLE IMAGE MATCHING USING ...................... I . 505 CONSTRAINED HIERARCHICAL PARAMETRIC MODELS 0. Musse, F. Heitz, J. -P. Armspach, CNRS, France

A NEW MULTISCALE BAYESIAN MODEL AVERAGING FRAMEWORK FOR .............. I . 509 TEXTURE SEGMENTATION Y. Wan, R. Nowak, Rice University, USA

MPOl: COLOR IMAGE PROCESSING AND APPLICATIONS COLOR IMAGING: CURRENT TRENDS AND BEYOND ......................................... I . 513 M. Vrhel, Color Savvy Systems Limited, USA

THE ROLE OF COLOR IN CONTENT BASED IMAGE RETRIEVAL ............................ I . 517 S. Panchanathan, Y. Park, Arizona State University, USA, K. Kim, P. Kim, Chosun University, South Korea, F. Golshani, Arizona State University, USA

CLASSIFYING COLOR TRANSITIONS INTO SHADOW-GEOMETRY, ........................ I . 521 ILLUMINATION, HIGHLIGHT OR MATERIAL EDGES T. Gevers, H. Stokman, University of Amsterdam, The Netherlands

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SIMPLIFICATION OF COLOR IMAGE SEGMENTATION USING A FUZZY .................. I . 525 ATTRIBUTED GRAPH H. Grecu, P. Lambert, University of Savoie, France

MULTICHANNEL M-FILTERING FOR COLOR IMAGE RESTORATION ...................... I . 529 M. Bani, University of Siena, Italy, V. Cappellini, L. Mirri, University of Florence, Italy

QUANTITATIVE ERROR ANALYSIS OF COLOR IN IEEE PUBLICATIONS ................. I . 533 M. Vrhel, Color Savvy Systems Limited, USA, H. Trussell, North Carolina State University, USA

UNSUPERVISED SEED DETERMINATION FOR A REGION-BASED COLOR IMAGE.. .... I . 537 SEGMENTATION SCHEME N. Ikonomakis, K. Plataniotis, A. Venetsanopoulos, University of Toronto, Canada

HYPERCOMPLEX COLOR-SENSITIVE SMOOTHING FILTERS. ............................... I . 541 C. Evans, S. Sangwine, University of Reading, United Kingdom, T. Ell, , USA

MP02: 3-D IMAGE ANALYSIS MULTIPLE VIEW SURFACE REGISTRATION WITH ERROR MODELING AND ............ I . 545 ANALYSIS J. Williams, M. Bennamoun, Queensland University of Technology, Australia

WEIGHTED FACTORIZATION.... ...................................................................... I . 549 P. Aguiar, Institute for Systems and Robotics, Portugal and Camegie Mellon University, USA, J. Moura, Camegie Mellon University, USA

MULTI-RESOLUTION AREA MATCHING..... ....................................................... I . 553 F. Pedersini, A. Sarti, S. Tubaro, Politecnico di Milano, Italy

LINEAR EPIPOLAR ALGORITHM FOR MULTIFRAME ORIENTATION. ..................... I . 557 P. Fiore, Massachusetts Institute of Technology, USA

A PIECEWISE AFFINE MODEL FOR IMAGE REGISTRATION I N NONRIGID MOTION.. I - 561 ANALYSIS G. Seetharaman, University of Louisiana at Lafayette, USA, G. Gasperas, Digi Dyne Inc, USA, K. Palaniappan, University of Missouri-Columbia, USA

ADAPTIVE LIGHT PROJECTION AND HIGHLIGHT ANALYSIS METHOD FOR.. .......... I . 565 MEASURING THREE-DIMENSIONAL SCENE H. Hioki, Kyoto University, Japan

3-D RECONSTRUCTION OF REAL-WORLD OBJECTS USING EXTENDED VOXELS. ..... I . 569 E. Steinbach, B. Girod, Stanford University, USA, P. Eisert, A . Betz, University of Erlangen-Nuremberg, Germany

REAL-TIME 3D RECONSTRUCTION ON HIGH RESOLUTION FOCAL PLANE ARRAY .. I - 573 M. Vasiliu, F. Devos, Paris-Sud University, France

MP03: DATA EMBEDDING

A METHOD OF EXTRACTING EMBEDDED BINARY DATA FROM JPEG .................... I . 577 BITSTREAMS USING STANDARD JPEG DECODER Y. Noguchi, Asahi Chemcal Industry, Japan, H. Kobayashi, Tokyo Metroplitan College of Technology, Japan, H. Kiya, Tokyo Metropolitan University, Japan

xxiii

ROBUST HIGH CAPACITY DATA EMBEDDING .................................................... 1 . 581 T.-H. Lan, Philips Research, USA, M. Mansour, A. Tewfik, University of Minnesota, USA

WATERMARKING BASED ON DUALITY WITH DISTRIBUTED SOURCE CODING.. ...... I . 585 AND ROBUST OPTIMIZATION PRINCIPLES J. Chou, S. Pradhan, L. El Ghaoui, K. Ramchandran, University of Califomia, Berkeley, USA

EMBEDDING DATA IN DIGITAL IMAGES USING CDMA TECHNIQUES ..................... I . 589 G. Silvestre, University College Dublin, Ireland, W. Dowling, University of Dublin, Ireland

ROBUST DATA HIDING USING PSYCHOVISUAL THRESHOLDING...... .................... I . 593 M. Masry, M. Ramos, S. Hemami, Cornell University, USA

STEGANOGRAPHY FOR A LOW BIT-RATE WAVELET BASED IMAGE CODER.. ......... I . 597 S. Areepongsa, Y. Syed, N. Kaewkamnerd, K. Rao, University of Texas at Arlington, USA

A NOVEL DIGITAL IMAGE HIDING TECHNOLOGY BASED ON TANGRAM AND.... ..... I . 601 CONWAY'S GAME W. Ding, W.-Q. Yan, Chinese Academy of Science, China, D.-X. Qi, North China University of Technology and Chinese Academy of Science, China

PERFORMANCE EVALUATION OF DATA HIDING SYSTEM USING WAVELET.. ......... I . 605

N. Abdulaziz, K. Pang, Monash University, Australia TRANSFORM AND ERROR-CONTROL CODING

MP04: MAGNETIC RESONANCE IMAGING CLUSTERED COMPONENT ANALYSIS FOR FMRI SIGNAL ESTIMATION AND.. ........ I . 609 CLASSIFICATION C. Bouman, Purdue University, USA, S. Chen, Indiana University and Purdue University, USA, M. Lowe, Indiana University School of Medicine, USA

UNSUPERVISED SEGMENTATION FOR AUTOMATIC DETECTION O F BRAIN.. .......... I . 613 TUMORS IN MRI. A. Capelle, 0. Alata, C. Femandez, S. Lefevre, Universite' de Poitiers, France, J. Ferrie, Unite IRM,SCANNER, France

FUZZY MODELING OF KNOWLEDGE FOR MRI BRAIN STRUCTURE ....................... I . 617 SEGMENTATION J.-H. Xue, University of Gent, Belgium and GREYC-ISMRA, France, S. R u m , B. Moretti, M. Revenu, D. Bloyet, GREYC-ISMRA, France, W. Philips, University of Gent, Belgium

USING ANISOTROPIC DIFFUSION O F PROBABILITY MAPS FOR ACTIVITY.. ........... I . 621 DETECTION IN BLOCK-DESIGN FUNCTIONAL MRI H. Neoh , G. Sapiro, University of Minnesota, USA

ON THE DESIGN OF THE BANDPASS FILTERS I N HARMONIC PHASE MRI .............. I . 625 N. Osman, J. Prince, Johns Hopkins University, USA

AN ELASTICITY-BASED REGION MODEL AND ITS APPLICATION TO THE ............. I . 629 ESTIMATION OF THE HEART DEFORMATION IN TAGGED MRI F. Vincent, P. Clarysse, P. Croisille, I. Magnin, CREATIS, CNRS, France

INFORMATION THEORETIC ANALYSIS OF PLAQUE IN MR IMAGING ..................... I . 633 D. Xu, X. Kang, J.-N. Hwang, C. Yuan, University of Washington, USA

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ATHEROSCLEROTIC BLOOD VESSEL TRACKING AND LUMEN SEGMENTATION IN.. I - 637 TOPOLOGY CHANGES SITUATIONS OF MR IMAGE SEQUENCES D. Xu, J.-N. Hwang, C. Yuan, University of Washington, USA

MP05: WAVELET IMAGE CODING I ITERATIVE BACKWARD SEGMENTATION FOR HIERARCHICAL WAVELET IMAGE. .. I . 641 CODING I. Amonou, Canon Research Centre, France, P. Duhamel, Telecom Paris, France

PERCEPTUAL QUANTIZATION FOR WAVELET-BASED IMAGE CODING .................. I . 645 M. Ramos, S. Hemami, Come11 University, USA

DESIGN AND ANALYSIS OF A FORWARD-ADAPTIVE WAVELET IMAGE CODER ...... I . 649 M. Mihcak, A. Docimo, P. Moulin, University of Illinois at Urbana-Champaign, USA, K. Ramchandran, University of Califomia, Berkeley, USA

EBWIC: A LOW COMPLEXITY AND EFFICIENT RATE CONSTRAINED WAVELET.. ... I . 653 IMAGE CODER C. Parisot, M. Antonini, M. Barlaud, University of Nice-Sophia Antipolis, France

POINT-WISE EXTENDED VISUAL MASKING FOR JPEG-2000 IMAGE ....................... I . 657 COMPRESSION W. Zeng, S. Daly, S. Lei, Sharp Laboratories of America, USA

IMAGE COMPRESSION WITH GEOMETRICAL WAVELETS.... ................................ I . 661 E. Le Pennec, S. Mallat, Ecole Polytechnique, France

QUINCUNX LIFTING SCHEME FOR LOSSY IMAGE COMPRESSION ........................ I . 665 A. Gouze, M. Antonini, M. Barlaud, University of Nice-Sophia Antipolis, France

ANALYSIS OF INTERSCALE AND INTRASCALE DEPENDENCIES BETWEEN IMAGE.. I - 669 WAVELET COEFFICIENTS J. Liu, P. Moulin, University of Illinois at Urbana-Champaign, USA

MP06: RADAR IMAGING BLIND POLARIMETRIC EQUALIZATION OF ULTRAWIDEBAND SYNTHETIC.. ........... I . 673 APERTURE RADAR IMAGERY G. Showman, J. McClellan, Georgia Institute of Technology, USA

POLARIMETRIC SAR IMAGE SEGMENTATION USING TEXTURE PARTITIONING.. .... I . 677 AND STATISTICAL ANALYSIS Y. Yu, S. Acton, University of Virginia, USA

ADAPTIVE TARGET DETECTION ACROSS A CLUTTER BOUNDARY: GLR AND ....... I . 681 MAXIMALLY INVARIANT DETECTORS H. Kim, A. Hero, University of Michigan, USA

MOVING TARGETS I N SYNTHETIC APERTURE IMAGES: A BAYESIAN APPROACH ... I . 685 P. Marques, Instituto Superior de Engenharia de Lisboa, Portugal, J. Dias, Instituto Superior Tecnico / Instituto de Telecomunicapjes, Portugal

UNKNOWN TARGET MOTION COMPENSATION FOR SPOTLIGHT-MODE .................. I . 689 SYNTHETIC APERTURE RADAR IMAGERY Y. Song, S. Blostein, Queen's University, Canada

A COMPARISON OF OMEGA-K AND GENERALIZED SAR INVERSION FOR .............. I . 693 RUNWAY IMAGING N. Cadalli, D. Munson, Jr., University of Illinois at Urbana-Champaign, USA

SEQUENTIAL TECHNIQUES IN HIERARCHICAL RADAR TARGET LOCALIZATION .... I . 697

SUPERRESOLUTION AND EDGE-PRESERVING RECONSTRUCTION O F ................... I . 701

A. Abdel-Samad, A. Tewfik, University of Minnesota, USA

COMPLEX-VALUED SYNTHETIC APERTURE RADAR IMAGES M. Cetin, W. Karl, Boston University, USA

A STATISTICAL APPROACH TO ROUGH SURFACE UNDERGROUND IMAGING.. ....... I . 705 H. Feng, D. Castanon, W. Karl, Boston University, USA

SAR SIDELOBE APODIZATION USING THE KAISER WINDOW ............................... I . 709 G. Thomas, University of Manitoba, Canada, B. Flores, University of Texas at El Paso, USA, J. Sok-Son, University of Texas Pan American, USA

MIGRATION O F UNDERGROUND TARGETS IN UWB-SAR SYSTEMS...... ................. I . 713

ERROR ANALYSIS FOR QUADTREE IMAGE FORMATION ..................................... I . 717

W. Lertniphonphun, J. McClellan, Georgia Institute of Technology, USA

L. Kaplan, Clark Atlanta University, USA, S.-M. Oh, M. Cobb, J. McClellan, Georgia Institute of Technology, USA

TERRAIN FEATURE IDENTIFICATION BY MODELING RADAR IMAGE STATISTICS.. . I . 721 A. Bors, E. Hancock, R. Wilson, University of York, United Kingdom

DEFINITION OF A SPATIAL ENTROPY AND ITS USE FOR TEXTURE ...................... I . 725 DISCRIMINATION F. Tupin, M. Sigelle, H. Maitre, Ecole Nationale Superieure des Telecommunications, France

MP07: IMAGE ACQUISITION, SCANNING AND DISPLAY

A COMPUTATIONAL IMAGE SENSOR WITH PIXEL-BASED INTEGRATION TIME.. ..... I . 729 CONTROL T. Hamamoto, Science University of Tokyo, Japan, K. Aizawa, University of Tokyo, Japan

OPTIMAL SAMPLING I N ARRAY-BASED IMAGE FORMATION.... ........................... I . 733 Y. Gao, S. Reeves, Auburn University, USA

AN ADDRESS GENERATOR FOR AN N-DIMENSIONAL PSEUDO-HILBERT SCAN IN... I . 737 A HYPER-RECTANGULAR PARALLELEPIPED REGION Y. Bandoh, S.-I. Kamata, Kyushu University, Japan

COLORIMETRIC CHARACTERIZATION OF LOW-END DIGITAL CAMERA AND ITS.. .. I . 741 APPLICATION FOR ON-SCREEN TEXTURE VISUALIZATION G. Hong, B. Han, M . Luo, University of Derby, United Kingdom

A FAST HIERARCHICAL ALGORITHM OF MAXIMUM INTENSITY PROJECTION ....... I . 745 K. Kim, M. Kwon, H. Park, Korea Advanced Institute of Science and Technology, South Korea

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TOWARDS AN OPTIMAL TELEVISION DISPLAY FORMAT .................................... I . 749 E. Bellers, G. de Haan, Philips Research Laboratories, n e Netherlands

ON THE INVARIANCE O F DIFFERENTIAL SCALE INVARIANTS ............................. I . 753 A. Siebert, University of British Columbia, Canada

MULTIRATE, TWO-DIMENSIONAL CHANNEL CODING FOR OPTICAL PAGE ............ I . 757 MEMORIES J. Trelewicz, Arizona State University, USA

EXTENDED DEPTH FROM FOCUS USING WHITE LIGHT INTERFEROMETER ............ I . 761 S.-M. Ryoo, LG Electronics Inc., South Korea, J. Kim, Samsung Electronics Co., Ltd, South Korea, T. Choi, Kwangju Institute of Science & Technology, South Korea

IMAGING WITH THZ PULSES .......................................................................... I . 764 T. Dorney, J. Johnson, D. Mittleman, R. Baraniuk, Rice University, USA

A DUAL TRANSDUCER APPROACH TO ULTRASOUND IMAGING AND SPATIAL ....... I . 768 DEFORMATIONS A. Shenhar, M. Porat, Technion, Israel

MPOS: IMAGE SEGMENTATION I

SUPERVISED FUZZY AND BAYESIAN CLASSIFICATION OF HIGH DIMENSIONAL .... I . 772 DATA: A COMPARATIVE STUDY M. Mostafa, T. Perkins, A. Farag, University of Louisville, USA

AN ADAPTIVE HIERARCHICAL SEGMENTATION ALGORITHM BASED ON. .............. I . 776 QUADTREE DECOMPOSITION FOR HYPERSPECTRAL IMAGERY H. Kwon, S. Der, N. Nasrabadi, U.S. A m y Research Laboratory, USA

DEFORMABLE SHAPES DETECTION BY STOCHASTIC OPTIMIZATION ................... I . 780 J. Gonzalez-Linares, N. Guil, E. Zapata, University of Malaga, Spain, P. Ortigosa, I. Garcia, University of Almeria, Spain

REAL-TIME INTERACTIVE OBJECT OUTLINING USING CONTROL POINTS AND.. ..... I . 784 SMOOTHNESS PARAMETER MANIPULATION 0. Ikeda, Takushoku University, Japan

EFFICIENT PDM SHAPE FITTING USING THE KALMAN FILTER ............................ I . 788 G. Jones, D. Greenhill, J . Orwell, J. Rymel, Kingston University, United Kingdom

MULTIFRACTAL CHARACTERIZATION OF TEXTURE-BASED SEGMENTATION ........ I . 792 A. Conci , Federal Fluminense University, Brazil, L. Monteiro, IBM - Brasil- NWS, Brazil

IMAGE CLASSIFICATION USING PSEUDO POWER SIGNATURES ........................... I . 796 V. Venkatachalam, Rice University, USA

A NEW APPROACH TO SEGMENTATION BASED ON FUSING CIRCUMSCRIBED,....... I . 800 CONTOURS, REGION GROWING AND CLUSTERING X. MuAoz, X. Cuj?, J. Freixenet, J. Marti, University of Girona, Spain

IMAGE SEGMENTATION BASED ON AN ORIGINAL MULTISCALE ANALYSIS OF ...... 1 . 804 THE PIXEL CONNECTIVITY PROPERTIES M. Fontaine, L. Macaire, J.-G. Postaire, Universitt! des Sciences et Technologies de Lille, France

xxvii

SORTED REGION MERGING TO MAXIMIZE TEST RELIABILITY ............................. I . 808 C. Fiorio, Luboratoire d'lnformatique, de Robotique et de Microelectronique, France, R. Nock, Universite des Antilles-Guyane, France

VARIATIONAL SEGMENTATION BY PIECEWISE FACET MODELS WITH.. ................ I . 812 APPLICATION TO RANGE IMAGERY J. Goldschneider, MathSojl, USA, A. Li, Real Networks, USA

EDGE-ADAPTIVE CLUSTERING FOR UNSUPERVISED IMAGE SEGMENTATION.. ...... I . 816 D. Pham, National Institute on Aging/National Institutes of Health, USA

SEGMENTING IMAGES WITH SUPPORT VECTOR MACHINES ................................ I . 820 R. Reyna, N. Hernandez, D. Esteve, LAAS - CNRS, France, M. Cattoen, ENSEEIHT, France

MP09: MOTION ESTIMATION I COMPUTATIONALLY SCALABLE PARTIAL DISTANCE BASED FAST SEARCH ......... I . 824 MOTION ESTIMATION K. Lengwehasatit, Packetvideo Corporation, USA, A. Ortega, University of Southem Califomia, USA

ESTIMATION OF OPTICAL FLOW FOR OCCLUSION USING EXTRAPOLATION.. ........ I . 828 H. Imamura, Y. Kenmochi, K. Kotani, Japan Advanced Institute of Science and Technology, Japan

AN ADVANCED CENTER BIASED SEARCH ALGORITHM FOR MOTION................... I . 832 ESTIMATION H. Nisar, T.-S. Choi, Kwangju Institute of Science & Technology, South Korea

HIERARCHICAL BLOCK MATCHING ALGORITHM I N MRME ................................. 1 . 836 J. Lee, Y. Ro, Information and Communication University, South Korea

A DATA FUSION SOLUTION TO THE ACCURACY-EFFICIENCY TRADE-OFF.. .......... I . 840 PROBLEM IN MOTION ESTIMATION. A. Peacock, D. Renshaw, J. Hannah, University of Edinburgh, United Kingdom

CORRESPONDENCE AND LINE FIELD ESTIMATION USING MAP-BASED, ................ I . 844 PROBABILISTIC DIFFUSION ALGORITHM S. Lee, Seoul National University, South Korea, J.-I. Park, Hanyang University, South Korea, C. Lee, Seoul National University, South Korea

ROBUST REGION-BASED MOTION ESTIMATION FOR VIDEO COMPRESSION.. ......... I . 848 J. Teh, M. Spann, University of Birmingham, United Kingdom

MOTION ESTIMATION BASED ON OPTICAL FLOW WITH ADAPTIVE GRADIENTS..... I . 852 S. Sun, D. Haynor, Y. Kim, University of Washington, USA

A NESTED-MULTILEVEL REDUNDANCY EXPLOITATION FOR FAST BLOCK.. .......... I . 856 MATCHING F. Moschetti, M. Kunt, Swiss Federal Institute of Technology, Switzerland, F. Calvano, University of Siena, Italy

MOTION VECTOR ESTIMATION USING EDGE ORIENTED BLOCK MATCHING .......... I . 860 ALGORITHM FOR VIDEO SEQUENCES M. Ahmad, Kwangju Institute of Science and Technology, South Korea, D. Kim, Samsung Advanced Institute of Technology, South Korea, K. Roh, Samsung Advanced Institute of Technology, South Korea, T. Choi, Kwangju Institute of Science and Technology, South Korea

xxviii

LET US SUPPOSE A LIQUID OPTICAL FLOW IN IMAGES .. THE VALIDITY OF ........ I . 864 OPTICAL FLOW REVISITED M. Qiu, Hebrew University of Jerusalem, Israel

ROBUST GLOBAL MOTION ESTIMATION USING A SIMPLIFIED M-ESTIMATOR.. ...... I . 868 APPROACH A. Smolic, J.-R. Ohm, Heinrich-Hertz-Institute, Germany

MOTION MONITORING AND CLASSIFICATION WITH CENTER-BIASED MOTION.. ..... I . 872 ESTIMATION F. Decroos, P. Schelkens, F. Stiens, J. Comelis, Vrije Universiteit Brussel, Belgium, V. Christopoulos, Intrasoft Intemational, Belgium

A FAST MOTION ESTIMATION ALGORITHM FOR MPEG-4 SHAPE CODING ............. I . 876 D. Yu, S. Jang, J. Ra, Korea Advanced Institute of Science and Technology, South Korea

MPlO: NONLINEAR IMAGE PROCESSING DYADIC WAVELET-BASED NONLINEAR CONDUCTION EQUATION: THEORY AND.. .. I . 880 APPLICATIONS C.-J. Sze, H.-Y. Liao, S.-K. Huang, C.-S. Lu, Academia Sinica, Taiwan

VECTOR PROBABILITY DIFFUSION.... ............................................................. I . 884 A. Pardo, Universidud de la Republica, Montevideo, Uruguay, G. Sapiro, University of Minnesota, USA

MAXIMUM LIKELIHOOD PARAMETER ESTIMATION FOR IMAGE RINGING.. ........... I . 888 ARTIFACT REMOVAL S. Yang, University of Wisconsin-Madison, USA, Y.-H. Hu, University of Wisconsin-Madison , USA, D. Tull, University of Wisconsin-Madison, USA, T. Nguyen, Boston University, USA

AN OPTIMIZATION ALGORITHM FOR RECURSIVE WEIGHTED MEDIAN FILTERS.. ... I . 892

J. Paredes, G. Arce, University of Delaware, USA

FEATURE-PRESERVING FLOWS: VIEW G. Unal, H. Krim, North Carolina State University, USA, A. Yezzi, Georgia Institute of Technology, USA

WITH REAL-VALUED WEIGHTS

A STOCHASTIC DIFFERENTIAL EQUATION'S.. ..... I . 896

A SIMPLE AND EFFECTIVE FILTER BASED ON THE RANK DIFFERENCE ............... I . 900

STATISTICAL THRESHOLD DESIGN FOR THE TWO-STATE SIGNAL-DEPENDENT ..... I . 904 RANK ORDER MEAN FILTER M. Moore, S. Mitra, University of Califomia, Santa Barbara, USA

S. Poon, R. Ward, University of British Columbia, Canada

DESIGNING TRANSLATION INVARIANT OPERATIONS VIA NEURAL NETWORK.. ..... I . 908 TRAINING R. de Sousa, J. de Carvalho, F. de Assis, Federal University of Paraiba, Brazil, L. Pessoa, Motorola, USA

NONLINEAR IMAGE INTERPOLATION THROUGH EXTENDED PERMUTATION. ......... I . 912 FILTERS D. Ramanan, K. Bamer, University of Delaware, USA

A NEW CLASS OF MEDIAN BASED IMPULSE REJECTING FILTERS ....................... I . 916 T. Chen, H . Wu, Monash University, Australia

xxix

GENERALIZED SCALE-SELECTION .................................................................. I . 920 J. Sporring, University of Copenhagen, Denmark, C. Colios, P. Trahanias, Foundation for Research and Technology - Hellas, Greece

MULTIRESOLUTION PERMUTATION FILTERS BASED ON DECISION TREES.. .......... I . 924 M. Aguirre, K. Bamer, University of Delaware, USA

MPll: TOPICS IN COMPRESSION AND TRANSCODING A MULTI-BIT BINARY ARITHMETIC CODING TECHNIQUE .................................... I . 928 K. Andra, Arizona State University, USA, T. Acharya, Intel Corporation, Arizona State University, USA, C. Chakrabarti, Arizona State University, USA

OPTIMIZING PREDICTION GAIN IN SYMMETRIC AXIAL SCANS....... .................... I . 932 N. Memon, Polytechnic University, USA, D. NeuhofJ; University of Michigan, USA, S. Shende, Rutgers University, USA

EFFICIENT HUFFMAN DECODING ................................................................... 1 . 936 M. Agganval, University of Illinois at Urbana-Champaign, USA, A. Narayan, Texas Instruments Inc., USA

UNIVERSAL VARIABLE LENGTH CODE FOR DCT CODING ................................... I . 940 Y. Itoh, N.-M. Cheung, Texas Instruments Japan Ltd., Japan

CONDITIONAL DCT EVENT CODING WITHOUT SIDE INFORMATION IN VIDEO.. ...... I . 944 COMPRESSION M. Sipitca, Georgia Institute of Technology, USA, D. Gillman, Peakstone Corporation, USA, R. Mersereau, Georgia Institute of Technology, USA

MAXIMUM LIKELIHOOD ESTIMATION OF JPEG QUANTIZATION TABLE IN THE ...... I . 948 IDENTIFICATION O F BITMAP COMPRESSION HISTORY Z. Fan, R. deQueiroz, Xerox Corporation, USA

RATIONALITY OF RESTRICTED RE-QUANTIZATION FOR EFFICIENT MPEG.. .......... I . 952 TRANSCODING S. Kadono, Matsushita Electric Industrial Co., Ltd and Nara Institute of Science & Technology, Japan, M. Etoh, N U DoCoMo, Inc., Japan, N. Yokoya, Nara Institute of Science and Technology, Japan

ESTIMATING LAPLACIAN PARAMETERS OF DCT COEFFICIENTS FOR .................. I . 956 REQUANTIZATION IN THE TRANSCODING O F H. Sorial, W. Lynch, Concordia University, Canada, A. Vincent, Communications Research Centre, Canada

A STUDY ON THE RATE CONTROL METHOD FOR MPEG TRANSCODER ................. I . 960 CONSIDERING DRIFT-ERROR PROPAGATION I. Nagayoshi, H. Kasai, H. Tominaga, Waseda University, Japan

RATE CONTROL SCHEME FOR LOW-DELAY MPEG-2 VIDEO TRANSCODER.. .......... I . 964 H. Kasai, Waseda University, Japan, T. Hanamura, MediaYGlue Corporation, Japan, W. Kamayama, H. Tominaga, Waseda University, Japan

A WAVELET TO DCT PROGRESSIVE IMAGE TRANSCODER .................................. I . 968 P.-C. Hu, M. Kaveh, Z.-L. Zhang, University of Minnesota, USA

VIDEO TRANSCODING BY REDUCING SPATIAL RESOLUTION... ........................... I . 972 P. Yin, M. Wu, B. Liu, Princeton University, USA

MPEG-2 VIDEO

xxx

RESOLUTION SCALABLE LOSSLESS PROGRESSIVE IMAGE CODING VIA ............... I . 976 CONDITIONAL QUADRISECTION R. Stites, J. Kieffer, University of Minnesota, USA

MP12: VIDEO CODING I FAST MATCHING PURSUIT METHOD WITH DISTANCE COMPARISON, ................... 1 . 980 B. Jeon, S. Oh, Sungkyunkwan University, South Korea, S.-J. Oh, Kwangwoon University, South Korea

A HIGH PERFORMANCE VBR CODING ALGORITHM FOR FIXED SIZE STORAGE ...... 1 . 984 APPLICATIONS Y. Yu, University of Missouri-Columbia, USA, J. Zhou, University of Washington, USA, Y. Wang, Tsinghua University, China , C. Chen, University of Missouri-Columbia, USA

VERY-LOW-BIT RATE CODING USING MATCHING PURSUIT AND CODEBOOK ......... J . 988 ADAPTATION C. -K. Peng, C.-L. Huang, National Tsing-Hua University, Taiwan, W.-L. Huang, US Academia Sinica, Taiwan

JOINT KALMAN-BASED NOISE FILTERING AND MOTION COMPENSATED VIDEO.. ... I . 992 CODING FOR LOW BIT RATE VIDEOCONFERENCING M. Biloslavo, G. Ramponi, Trieste University , Italy, S. Olivieri, L. Albani, Philips Research Monza, Italy

EFFICIENT PREDICTION ERROR REGIONS DETERMINATION FOR REGION-BASED . . I 996 VIDEO CODING THROUGH SHAPE ADAPTIVE DCT L. Salgado, J. Mendndez, E. Renddn, N. Garcia, R. Lurrosa, Universidad Politdcnica de Madrid, Spain

OBJECT-BASED 3-D WAVELET CODING USING LAYERED OBJECT ......................... I . 1000 REPRESENTATION H. Schwan, Heinrich-Hertz-lnstitut fur Nachrichtentechnik Berlin, Germany, E. Muller, Universitat Rostock, Germany

EFFICIENT CONTEXT MODELING IN SCALABLE 3D WAVELET-BASED VIDEO.. ....... I . 1004 COMPRESSION B. Felts, B. Pesquet-Popescu, Laboratoires d'Electronique Philips, France

A UNIFIED APPROACH TO RESTORATION, DEINTERLACING AND ........................ 1 . 1008 SUPERRESOLUTION OF MPEG-2 DECODED VIDEO B. Martins, ASKommunication Systems, Denmark, S. Forchhammer, Technical University of Denmark, Denmark

BENEFITS OF ADAPTIVE MOTION ACCURACY I N H.26L VIDEO CODING ................ I . 1012 J. Shen, Illinois Institute of Technology, USA, J. Ribas-Corbera, Microsoft Corporation, USA

COMPRESSED DOMAIN MPEG-2 VIDEO EDITING WITH VBV REQUIREMENT.. ......... I . 1016 R. Egawa, Samoff Corporation, USA, A. Alatan, A. Akansu, New Jersey Institute of Technology, USA

EFFICIENT PREDICTION I N MULTIPLE DESCRIPTION VIDEO CODING ................... I . 1020 S. Regunathan, K. Rose, University of Califomia, Santa Barbara, USA

HIGH QUALITY REGION-BASED VIDEO CODING ................................................. I . 1024 A. Pinho, University of Aveiro, Portugal

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TABLE OF CONTENTS Volume I1

TAOl: VISION, AND COMPUTER GRAPHICS

CONVERGENCE OF IMAGENIDEO PROCESSING, COMPUTER

OVERVIEW OF IBR: SOFTWARE AND HARDWARE ISSUES .................................. 11 . 1 T. Whitted, Microsoft Research, USA

TWO APPROACHES TO INCORPORATE APPROXIMATE GEOMETRY INTO. .............. 11 . 5 MULTI-VIEW IMAGE CODING B. Girod, Stanford University, USA, M. Magnor, University of Erlangen-Nuremberg, Germany

FROM IMAGE AND VIDEO COMPRESSION TO COMPUTER GRAPHICS.. ................. 11 . 9

THE GEOMETRY-IMAGE REPRESENTATION TRADEOFF FOR RENDERING.. ........... .I1 . 13 S. Kang, R. Szeliski, P. Anandan, Microsoft Corporation, USA

VIDEO EDITING USING FIGURE TRACKING AND IMAGE-BASED RENDERING.. ....... .I1 . 17 J. Rehg, Compaq Cambridge Research Lab, USA, S. Kang, Microsoft Research, USA, T.-J. Cham, Compaq Cambridge Research Lab, USA

ON THE COMPRESSION OF IMAGE BASED RENDERING SCENE... ......................... 11 . 21 J. Li, H. Shum, Y.-Q. Zhang, Microsoft Research, China

A SPECTRAL ANALYSIS FOR LIGHT FIELD RENDERING ..................................... 11 . 25 S. Chan, University of Hong Kong, China, H.-Y. Shum, Microsoft Research, China

T. Chen, Carnegie Mellon University, USA

TA02: JPEG 2000

JPEG 2000: M. Gormish, Ricoh Silicon Valley, Inc., USA, D. Lee, Hewlett Packard, USA, M. Marcellin, University of Arizona, USA

OVERVIEW, ARCHITECTURE, AND APPLICATIONS...... ..................... I1 . 29

EMBEDDED BLOCK CODING I N JPEG 2000 ........................................................ I1 . 33 D. Taubman, University of New South Wales, Australia, E. Ordentlich, Kompression, USA, M. Weinberger, G. Seroussi, Hewlett Packard, USA, I. Ueno, Mitsubishi Electric Corporation, Japan, F. Ono, Tokyo Institute of Polytechnics, Japan

VISUAL OPTIMIZATION TOOLS IN JPEG 2000 .................................................... II . 37 W. Zeng, S. Duly, S. Lei, Sharp Laboratories of America, USA

EFFICIENT REGION OF INTEREST CODING TECHNIQUES I N THE UPCOMIMG ......... 11 . 41 JPEG2000 STILL IMAGE CODING STANDARD C. Christopoulos, J. AskeloJ M. Larsson, Ericsson Radio Systems AB, Sweden

JPEG 2000 NEXT GENERATION IMAGE COMPRESSION SYSTEM FEATURES AND .... II . 45 SYNTAX M. Boliek, Ricoh Silicon Valley, Inc., USA, J. Houchin, Eastman Kodak Company, USA, G. Wu, Ricoh Silicon Valley, Inc., USA

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AN ANALYTICAL STUDY O F JPEG 2000 FUNCTIONALITIES ................................. I1 . 49 D. Santa-Cruz, T. Ebrahimi, Swiss Federal Institute of Technology Lausanne, Switzerland

JASPER: A SOFTWARE-BASED JPEG-2000 CODEC IMPLEMENTATION .................... II . 53 M. Adams, F. Kossentini, University of British Columbia, Canada

MONTION-JPEG 2000 STANDARDIZATION AND TARGET MARKET ......................... 11 . 57 T. Fukuhura, K. Katoh, S. Kimura, K. Hosaka, A. Leung, Sony Corporation, Japan

TA03: WATERMARKING I1

A ROBUST OBLIVIOUS WATERMARKING SCHEME ............................................. 11 . 61 M. Ramkumar, A. Akansu, New Jersey Institute of Technology, USA

GEOMETRIC-INVARIANT ROBUST WATERMARKING THROUGH CONSTELLATION.. .I1 . 65 . MATCHING IN THE FREQUENCY DOMAIN R. Caldelli, University of Florence, Italy, M. Barni, University of Siena, Italy, F. Bartolini, A. Piva, University of Florence, Italy

JOINT HALFTONING AND WATERMARKING... ................................................... 11 . 69 D. Kacker, Shutterjly, Inc., USA, J. Allebach, Purdue University, USA

IMAGE WATERMARKING BY MOMENT INVARIANTS........... ............................... 11 . 73 M. Alghoniemy, A. Tewfik, University of Minnesota, USA

GENERALIZED 2-D CYCLIC PATTERNS FOR SECRET WATERMARK GENERATION.. .I1 . 77 D. Delannay, B. Mucq, Universite' Catholique de Louvain, Belgium

A SCHEME FOR JOINT WATERMARKING AND COMPRESSION OF VIDEO ............... 11 . 80 R. Dugad, N. Ahuja, University of Illinois at Urbana-Champaign, USA

ROBUST OBLIVIOUS DIGITAL WATERMARKING USING IMAGE TRANSFORM.. ....... .I1 . 84 PHASE MODULATION F. Alturki, R. Mersereau, Georgia Institute of Technology, USA

WAVELET-BASED WATERMARKING FOR TAMPER PROOFING OF STILL IMAGES.. . .I1 . 88 H. Inoue, Matsushita Electric Industrial Co., Ltd., Japan, A. Miyazaki, Kyushu University, Japan, T. Katsura, Matsushita Electric Industrial Co., Ltd., Japan

TA04: IMAGE SEGMENTATION I1 SPATIAL SEGMENTATION OF COLOR IMAGES ACCORDING TO THE MDL. ............. I1 . 92 FORMALISM S. Pateux, IRISA, France

SYMMETRIC REGION GROWING ..................................................................... 11 . 96 S.-Y. Wan, W. Higgins, Penn State University, USA

TOWARDS AN INTEGRATED FRAMEWORK FOR CONTOUR-BASED GROUPING.. ..... .I1 . 100 AND OBJECT RECOGNITION USING MARKOV RANDOM FIELDS D. Schlueter, S. Wuchsmuth, G. Sagerer, Bielefeld University, Germany, S. Posch, University of Halle- Wittenberg, Germany

AM-FM IMAGE SEGMENTATION ...................................................................... 11 . 104 T. Tangsukson, J. Havlicek, University of Oklahoma, USA

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JOINT REGION MERGING CRITERIA FOR WATERSHED-BASED IMAGE ................... II - IO8 SEGMENTATION S. Hernandez, K. Bamer, University of Delaware, USA

PERCEPTIBLE LEVEL LINES AND ISOPERIMETRIC RATIO ................................... 11 - 112 J. Froment, Universite Paris, France

TEXTURE SEGMENTATION USING MOVING AVERAGE MODELING APPROACH . . . . . .I1 - 116 P. Chanyagom, K. Eom, George Washington University, USA

COLOR SEGMENTATION AND FIGURE-GROUND SEGREGATION OF NATURAL.. . . . . . . II - 120 IMAGES S. Wong, W. Leow, National University of Singapore, Singapore

TA05 WIRELESS VIDEO TRANSMISSION

CHANNEL CONDITION ARQ RATE CONTROL FOR REAL-TIME WIRELESS VIDEO .... 11 - 124 UNDER BUFFER CONSTRAINTS P.-C. Hu, Z.-L. Zhang, M. Kaveh, University of Minnesota, USA

PERCEPTUALLY-BASED ROBUST IMAGE TRANSMISSION OVER WIRELESS . . . . . . . . . . .I1 - 128 CHANNELS M. Buckley, M. Ramos, S. Hemami, S. Wicker, Come11 University, USA

EFFICIENT IMAGE AND CHANNEL CODING FOR WIRELESS PACKET NETWORKS.. . II - 132 P. Sherwood, X. Tian, K. Zeger, University of Califomia, San Diego, USA

TRANSMISSION OF MULTIPLE DESCRIPTION AND LAYERED VIDEO OVER AN ....... II - 136 EGPRS WIRELESS NETWORK A. Reibman, AT&T Labs - Research, USA, Y. Wang, Polytechnic University, USA, X. Qiu, Z. Jiang, K. Chawla, AT&T Labs - Research, USA

UNEQUAL ERROR PROTECTION FOR FOVEATION-BASED ERROR RESILIENCE.. . . . . .I1 - 140 OVER MOBILE NETWORKS S. Lee, Lucent Technologies, USA, C. Podilchuk, Bell Labs, USA, V. Krishnan, A. Bovik, University of Texas at Austin, USA

A NOVEL PRODUCT CODING AND DECODING SCHEME FOR WIRELESS IMAGE ...... 11 - 144 TRANSMISSION L. Cao, C. Chen, University of Missouri-Columbia, USA

INFLUENCE OF ENCODER PARAMETERS ON THE DECODED VIDEO QUALITY ........ 11 - 148

L. Ducla Soares, Instituto Superior T6cnico / Instituto de TelecomunicaGGes, Portugal, S. Adachi, NTT DoCoMo, Inc., Japan, F. Pereira, Instituto Superior Tecnico / Instituto de TelecomunicaGGes, Portugal

FOR MPEG-4 OVER W-CDMA MOBILE NETWORKS

LONG-TERM MEMORY MOTION-COMPENSATED PREDICTION FOR ROBUST.. . . . . . . . . . II - 152 VIDEO TRANSMISSION T. Wiegand, University of Erlangen-Nuremberg, Germany, N. Faerber, University of Erlangen-Nuremberg, Germany and Stanford University, USA, K. Stuhlmueller, University of Erlangen-Nuremberg, Germany, B. Girod, University of Erlangen-Nuremberg, Germany and Stanford University, USA

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TA06: FRACTAL CODING AND VECTOR QUANTIZATION FAST CODE ENHANCEMENT WITH LOCAL SEARCH FOR FRACTAL IMAGE. .......... .I1 . 156 COMPRESSION R. Hamzaoui, D. Saupe, M. Hiller, University of Leipzig, Germany

VQ IMAGE CODING USING SUB-VECTOR TECHNIQUES ....................................... II . 160 J.-S. Pan, National Kaohsiung Institute of Technology, Taiwan, Z. Lu, S. Sun, Harbin Institute of Technology, China

AN EFFICIENT DECODING SCHEME FOR FRACTAL IMAGE COMPRESSION.. ......... . I 1 . 164

VECTOR QUANTIZATION WITH EDGE RECONSTRUCTION......... .......................... 11 . 167

H.-T. Chu, C.-C. Chen, National Tsing-Hua University, Taiwan

R. lordache, Tampere University of Technology, Finland, A. Beghdadi, Universite Paris, France, I. Tabus, Tampere University of Technology, Finland

LINEARLY CONSTRAINED GENERALIZED LLOYD ALGORITHM FOR VIRTUAL.. ..... .I1 . 171 CODEBOOK VECTOR QUANTIZATION L. Winger, University of Waterloo, Canada

BLOCK TRUNCATION CODING USING EDGENESS INFORMATION ......................... 11 . 175

USE O F GAUSSIAN CODEBOOK FOR RESIDUAL VECTOR QUANTIZERS ................. 11 . 179

ADAPTIVE POST-PROCESSING FOR FRACTAL IMAGE COMPRESSION. .................. 11 . 183

A. Beghdadi, Universite' Paris, France, R. lordache, Tampere University of Technology, Finland

M. Khataie, Harris Corporation, Canada, M. Soleymani, M. Ahmad, Concordia University, Canada

N. Giang, D. Saupe, University of Leipzig, Germany

DETERMINING AND CONTROLLING CONVERGENCE I N FRACTAL IMAGE CODING.. 11 - 187 T. Tan, University of Sydney, Australia, H. Yan, City University of Hong Kong, Hong Kong

PYRAMID TEXTURE COMPRESSION AND DECOMPRESSION USING ...................... 11 . 191 INTERPOLATIVE VECTOR QUANTIZATION Y . 4 . Kwon, I.-C. Park, C.-M. Kyung, Korea Advanced Institute of Science and Technology, South Korea

COMPRESSION OF HYPERSPECTRAL DATA USING VECTOR QUANTISATION AND.. 11 - 195 THE DISCRETE COSINE TRANSFORM M. Pickering, M. Ryan, Australia Defense Force Academy, Australia

ASYMPTOTIC CLOSED-LOOP DESIGN OF PREDICTIVE MULTI-STAGE VECTOR.. .... .I1 . 199 QUANTIZERS H. Khalil, K. Rose, University of Califomia, USA

FRACTAL CODING OF SHAPES BASED ON A PROJECTED IFS MODEL ................... 11 . 203 E. Gue'rin, E. Tosan, A. Baskurt, University Claude Bernard Lyon I, France

TA07: FACIAL IMAGE PROCESSING LOW-COMPLEXITY FACE-ASSISTED VIDEO CODING.............. ............................ II . 207 C.- W. Lin, National Chung Cheng University, Taiwan, Y.-J. Chang, Y.-C. Chen, National Tsing-Hua University, Taiwan

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RECONSTRUCTION O F LOCAL FEATURES FOR FACIAL VIDEO COMPRESSION ..... .I1 . 211 S. Chatterjee, S. Banerjee, K. Biswas, Indian Institute of Technology, Hauz Khas, India

TWO SUBSPACE METHODS TO DISCRIMINATE FACES AND CLUTTERS ................. II . 215 L. Meng, T. Nguyen, Boston University, USA

THREE DIMENSIONAL FACIAL MODEL ADAPTATION ......................................... 11 . 219 N. Sarris, M. Strintzis, Aristotle University of Thessaloniki, Greece

A SYSTEM FOR THE AUTOMATIC EXTRACTION OF 3-D FACIAL FEATURE.. .......... 11 . 223 POINTS FOR FACE MODEL CALIBRATION Y. Yan, K. Challapali, Philips Research, USA

MODE-BASED HUMAN FACE DETECTION IN UNCONSTRAINED SCENES ................ II . 227 M. Fouad, A. Darwish, S. Shaheen, F. Bayoumi, Cairo University, Egypt

EXTRACTION OF A SYMMETRIC OBJECT FOR EYEGLASS FACE ANALYSIS.. ........ .I1 . 231 USING ACTIVE CONTOUR MODEL Y. Saito, Y. Kenmochi, K. Kotani, Japan Advanced Institute of Science & Technology, Japan

FACE DETECTION BY FACETS: COMBINED BOTTOM-UP AND TOP-DOWN .............. II . 235 SEARCH USING COMPOUND TEMPLATES G. Holst, University of British Columbia, Canada

A SIMPLE AND EFFICIENT FACE DETECTION ALGORITHM FOR VIDEO. ................ 11 . 239 DATABASE APPLICATIONS A. Albiol, Politechnic University of Valencia, Spain, L. Torres, Politechnic University of Catalonia, Spain, C. Bouman, E. Delp, Purdue University, USA

RECOVERING FRONTAL-POSE IMAGE FROM A SINGLE PROFILE IMAGE ............... II . 243 J. Ma, N. Ahuja, University of Illinois at Urbana-Champaign, USA, C. Neti, A. Senior, IBM T.J. Watson Research Center, USA

EFFICIENT FACE DETECTION FOR MULTIMEDIA APPLICATIONS ......................... 11 . 247

ORIENTATION TEMPLATE MATCHING FOR FACE LOCALIZATION IN COMPLEX.. .. .I1 . 251 VISUAL SCENES B. Froba, C. Kiiblbeck, Fraunhofer Institute for Integrated Circuits, Germany

LIP CONTOUR EXTRACTION USING A DEFORMABLE MODEL .............................. 11 . 255 A.-C. Liew, S.-H. Leung, W.-H. Lau, City University of Hong Kong, China

A NEW APPROACH TO TRACKING WITH ACTIVE CONTOURS .............................. 11 . 259 M. Pardas, Bell Laboratories, Lucent Technologies and Universitat Politecnica de Catalunya, Spain, E. Sayrol, Universitat Politecnica de Catalunya, Spain

N . Tsapatsoulis, Y. Avrithis, S. Kollias, National Technical University of Athens, Greece

TA08: VIDEO INDEXING AND EDITING I IMAGE AND AUDIO SEQUENCE VISUALIZATION AND INTERACTION .................... 11 . 263 MECHANISMS FOR STRUCTURED VIDEO BROWSING AND EDITING C. Toklu, S.-P. Liou, Siemens Corporate Research, USA

VIDEO SUMMARIZATION USING REINFORCEMENT LEARNING IN EIGENSPACE.. ... .I1 . 267 K. Masumitsu, T. Echigo, IBM Research, Japan

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LOW-COMPLEXITY GLOBAL MOTION ESTIMATION FROM P-FRAME MOTION.. ....... II . 271 VECTORS FOR MPEG-7 APPLICATIONS A. Smolic, M. Hoeynck, J.-R. Ohm, Heinrich-Hertz-Institute, Germany

KEY FRAME SELECTION TO REPRESENT A VIDEO ............................................ I1 . 275 F. Dufaux, Compaq Cambridge Research Lab, USA

SEGMENTATION AND TRACKING OF VIDEO OBJECTS : SUITED TO ................. 11 . 279 CONTENT-BASED VIDEO INDEXING, INTERARCTIVE TELEVISION AND PRODUCTION SYSTEMS M. Mazitre, F. Chassaing, France Telecom, France

NOVEL APPROACH TO DETERMINING TEMPO AND DRAMATIC STORY SECTIONS.. 11 - 283 I N MOTION PICTURES B. Adams, Curtin University of Technology, Australia, C. Dorai, IBM T. J. Watson Research Center, USA, S. Venkatesh, Curtin University of Technology, Australia

A REGION BASED DESCRIPTOR FOR SPATIAL DISTRIBUTION OF MOTION.. ......... .I1 . 287 ACTIVITY FOR COMPRESSED VIDEO A. Divakaran, K. Peker, H. Sun, Mitsubishi Electric ITA, USA

FAST DISSOLVE OPERATIONS FOR MPEG VIDEO CONTENTS .............................. 11 . 291 A. Yoneyama, KDD, Japan, Y. Hizume, Science University of Tokyo, Japan, Y. Nakajima, KDD, Japan

SPATIO-TEMPORAL JOINT PROBABILITY IMAGES FOR VIDEO SEGMENTATION.. ... . I1 . 295 Z.-N. Li, Simon Fraser University, Canada, J. Wei, City University of New York, USA

SYNTHETIC SUMMARIES OF VIDEO SEQUENCES USING A MULTIRESOLUTION.. ... .I1 . 299 BASED KEY FRAME SELECTION TECHNIQUE I N A PERCEPTUALLY UNIFORM COLOR SPACE P. Campisi, A. Neri, Universita' degli Studi di Roma Tre, Italy

WIPE PRODUCTION I N MPEG-2 COMPRESSED VIDEO. ........................................ II . 303 W. Femando, C. Canagarajah, D. Bull, University of Bristol, United Kingdom

TA09: IMAGE INTERPOLATION AND SPATIAL TRANSFORMATIONS

TEXTURE MAPPING BY SUCCESIVE REFINEMENT ............................................. 11 . 307 S. Horbelt, P. Thevenaz, M. Unser, Swiss Federal Institute of Technology, Switzerland

NEW EDGE DIRECTED INTERPOLATION ........................................................... 11 . 311 X. Li, M. Orchard, Princeton University, USA

POCS-BASED IMAGE RECONSTRUCTION FROM IRREGULARLY-SPACED ............... 11 . 315 SAMPLES R. Stasinski, Hogskolen i Narvik, Norway, J. Konrad, INRS-Telecommunications, Canada

WAVELET-BASED RECONSTRUCTION OF IRREGULARLY-SAMPLED IMAGES:. ........ II . 319 APPLICATION TO STEREO IMAGING C. Vazquez, J. Konrad, INRS-Telecommunications, Canada, E. Dubois, University of Ottawa, Canada

PREDICTION OF IMAGE DETAIL. .................................................................... 11 . 323 D. Muresan, T. Parks, Come11 University, USA

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FAST BINARY IMAGE RESOLUTION INCREASING BY K-NEAREST NEIGHBOR.. ....... I1 . 327 LEARNING H. Kim, P. Barreto, University SGo Paulo, Brazil

A NEAR EXACT IMAGE EXPANSION SCHEME FOR BI-LEVEL IMAGES ................... II . 331 S. Zahir, A. Agha, R. Ward, University of British Columbia, Canada

COMPLETE PARAMETRIZATION OF PIECEWISE POLYNOMIAL INTERPOLATORS.. . .I1 . 335 ACCORDING TO DEGREE, SUPPORT, REGULARITY, AND ORDER P. Thivenaz, T. Blu, M. Unser, Swiss Federal Institute of Technology Lausanne, Switzerland

INTERPOLATION I N THE DST AND DCT DOMAINS ............................................. II . 339 S. Martucci, NEC Research Institute, USA

TWO FAST EXTRAPOLATION / SUPERRESOLUTION ALGORITHMS ........................ II . 343 P. Ferreira, University of Aveiro, Portugal

MODELING AND EXTRAPOLATION O F PRIOR SCENE INFORMATION FOR SET .. 11 - 347

IMAGES S. Bhattacharjee, M. Sundareshan, University of Arizona, USA

AN EFFICIENT WAVELET-BASED ALGORITHM FOR IMAGE SUPERRESOLUTION.. ... II . 351 N. Nguyen, Stanford University, USA, P. Milanfar, University of Califomia, Santa Cruz, USA

IMAGE MAGNIFICATION USING DECIMATED ORTHOGONAL WAVELET.. ............... 11 . 355 TRANSFORM F. Nicolier, IUT Le Creuson, France, F. Truchetet, IUT Le CREUSOT, France

THREE ALGORITHMS FOR COMPUTING THE 2-D DISCRETE HARTLEY .................. 11 . 359 TRANSFORM A. Grigoryan, Texas A&M University, USA, S. Agaian, University of Texas at San Antonio, USA

THEORETIC RESTORATION AND SUPER-RESOLUTION O F DIFFRACTION-LIMITED

TA10: WAVELETS AND FILTER BANKS

WAVELET TRANSFORM FOOTPRINTS: CATCHING SINGULARITIES FOR.. ............ .I1 . 363 COMPRESSION AND DENOISING P. Dragotti, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland, M. Vetterli, University of Califomia, Berkeley, USA and Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland

ORTHONORMAL FINITE RIDGELET TRANSFORM FOR IMAGE COMPRESSION ....... .I1 . 367 M. Do, Swiss Federal Institute of Technology Lausanne, Switzerland, M. Vetterli, University of Califomia, Berkeley, USA and Swiss Federal Institute of Technology Lausanne, Switzerland

MULTISCALE CLASSIFICATION USING COMPLEX WAVELETS AND HIDDEN ......... .I1 . 371 MARKOV TREE MODELS J. Romberg, H. Choi, R. Baraniuk, Rice University, USA, N. Kingsbury, University of Cambridge, United Kingdom

A DUAL-TREE COMPLEX WAVELET TRANSFORM WITH IMPROVED ...................... 11 . 375 ORTHOGONALITY AND SYMMETRY PROPERTIES N. Kingsbury, University of Cambridge, United Kingdom

NON-REDUNDANT, DIRECTIONALLY SELECTIVE, COMPLEX WAVELETS.. ............. 11 . 379 R. van Spaendonck, De& University of Technology, The Netherlands, F. Femandes, M. Coates, S. Burrus, Rice University, USA

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PATTERN EXTRACTION AND SYNTHESIS USING A HIERARCHICAL ...................... II . 383 WAVELET-BASED FRAMEWORK C. Scott, R. Nowak, Rice University, USA

NON-SEPARABLE NON-LINEAR DECOMPOSITIONS WITH APPLICATIONS TO.. ....... . I1 . 387 IMAGE COMPRESSION E. Cardoso, Jr., E. da Silva, Universidade Federal do Rio de Janeiro, Brazil

TOTAL VARIATION IMPROVED WAVELET THRESHOLDING IN IMAGE... ................ II . 391 COMPRESSION T. Chan, H. Zhou, University of California, Los Angeles, USA

A WAVELET CORE FOR VIDEO PROCESSING... ................................................. I1 . 395 C. Diou, L. Torres, M. Robert, LIRMM, France

A NEW SERIES OF BIORTHOGONAL WAVELET FILTERS FOR IMAGE. ................... II . 399 COMPRESSION M. Zhao, Biomedical Center, China, Y. Zhao, Concordia University, Canada

SUBIMAGE EXTRACTION BY INTEGER-TYPE LIFTING WAVELET TRANSFORMS .... .I1 . 403 S. Takano, K. Niijima, Kyushu University, Japan

LINEAR-PHASE PARAUNITARY FILTER BANKS WITH UNEQUAL LENGTH .............. II . 407 T. Kuroko, T. Urushibara, M. Ikehara, Keio University, Japan

TAl l : IMAGE PROCESSING AND CODING FOR APPLICATIONS

JOINT SPACE-FREQUENCY SEGMENTATION, ENTROPY CODING AND THE ............ II . 411 COMPRESSION OF ULTRASOUND IMAGES E. Chiu, J. Vaisey, S. Atkins, Simon Fraser University, Canada

ROBUST QUANTIZATION TABLE DESIGN FOR ECHOCARDIAC IMAGES ................. II . 415 A. Al-Fahoum, A. Reza, University of Wisconsin-Milwaukee,, USA

SPACE-TIME COMPRESSION OF FLIR VIDEO .................................................... 11 . 419 L. Russo, Sanders, a Lockheed Martin Company, USA

GEOMETRIC AND TOPOLOGICAL LOSSY COMPRESSION OF DENSE RANGE.. ......... II . 423 IMAGES A. Sappa, LAAS - CNRS, France, M. Garcia, Rovira i Virgili University, Spain, B. Vintimilla, Polytechnic University of Catalonia, Spain

DIRECT MINUTIAE EXTRACTION FROM GRAY-LEVEL FINGERPRINT IMAGE BY.. .. . I1 . 427 RELATIONSHIP EXAMINATION J. Liu, Z. Huang, K. Chan, Nanyang Technological University, Singapore

WAVELET-BASED CODING OF THREE-DIMENSIONAL OCEANOGRAPHIC IMAGES.. . .I1 . 431 AROUND LAND MASSES J. Fowler, Mississippi State University, USA, D. Fox, Naval Research Laboratory, USA

HUMAN GAIT AND POSTURE ANALYSIS FOR DIAGNOSING NEUROLOGICAL.. ........ II . 435 DISORDERS H. Lee, L. Guan, J. Bume, University of Sydney, Australia

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NONLINEAR DISTORTION CORRECTION IN ENDOSCOPIC VIDEO IMAGES.. ........... .I1 . 439 C. Zhang, J. Helferty, Penn State University, USA, G. McLennan, University of Iowa, USA, W. Higgins, Penn State University, USA

A DEFORMATION MODEL FOR BIOTISSUES BEHAVIOUR SIMULATION. ................. 11 . 443 S. Di Bona, 0. Salvetti, Italian National Research Council, Italy

GLOBAL 3D RIGID REGISTRATION OF MEDICAL IMAGES................................... 11 . 447 C. Fookes, J. Williams, M. Bennamoun, Queensland University of Technology, Australia

VQ BASED BAYESIAN IMAGE FILTERING ......................................................... 11 . 451 M. GraAa, I. Echave, Universidad Pais Vasco, Spain, J. Ruiz-Cabello, Universidad Complutense, Spain

MULTIDIMENSIONAL ELASTIC REGISTRATION OF IMAGES USING SPLINES.. ....... .I1 . 455 J. Kybic, M. Unser, Swiss Federal Institute of Technology Lausanne, Switzerland

REGISTRATION OF DIGITAL OPHTHALMIC IMAGES USING VECTOR MAPPING.. .... .I1 . 459 N. Ryan, C. Heneghan, University College Dublin, Ireland, M. Cahill, Institute of Ophthamology, Ireland

TA12: APPLICATIONS OF IMAGE ANALYSIS

DUAL-BAND PASSIVE INFRARED IMAGERY FOR AUTOMATIC CLUTTER.. ............ .I1 . 463 REJECTION L. Chan, S. Der, N. Nasrabadi, U S . Army Research Laboratory, USA

IMAGE METRICS FOR CLUTTER CHARACTERIZATION ....................................... II . 467 K. Namuduri, K. Bouyoucef; L. Kaplan, Clark Atlanta University, USA

GENDER CLASSIFICATION USING SUPPORT VECTOR MACHINES ........................ 11 . 471 M.-H. Yang, University of Illinois at Urbana-Champaign, USA, B. Moghaddam, Mitsubishi Electric Corporation, USA

A MODULAR CLUTTER REJECTION TECHNIQUE FOR FLIR IMAGERY USING....... ... 11 . 475 REGION-BASED PRINCIPAL COMPONENT ANALYSIS S. Rizvi, T. Saadawi, City University of New York, USA, N. Nasrabadi, U S . Army Research Laboratory, USA

COMPARATIVE STUDY ON STATISTICAL IMAGE RECONSTRUCTION COMBINED.. . .I1 . 479 WITH MODIFICATION OF THE NUMBER OF PROJECTIONS K. Morikawa, K. Ogawa, Hosei University, Japan

AUTOMATIC SEGMENTATION OF LUNG REGIONS IN CHEST RADI0GRAPHS:A.. .... .I1 . 483 MODEL GUIDED APPROACH H. Luo, State University of New York at Buffalo, USA, R. Gaborski, Rochester Institute of Technology, USA, R. Acharya, State University of New York at Buffalo, USA

ROBUST ESTIMATION OF PLANAR RIGID BODY MOTION IN MAGNETIC ................ 11 . 487 RESONANCE IMAGING A. Fahmy, B. Tawfik, Y. Kadah, Cairo University, Egypt

3D CURVES TRACKING AND ITS APPLICATION TO CORTICAL SULCI DETECTION.. 11 - 491 C. Renault, M. Desvignes, M. Revenu, GREYC-ISMRA, France

A DEVICE TO CLASSIFY SURFACE ORIENTATION FROM POLARIZATION IMAGES.. 11 - 495 P. Terrier, V. Devlaminck, Universite ’ des Sciences et Technologies de Lille, France

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A NEW REFERENCE POINT FOR FINGERPRINT RECOGNITION ............................. I1 . 499 K. Rerkrai, V. Areekul, Kasetsart University, Thailand

RELIABLE AND FAST FINGERPRINT IDENTIFICATION FOR SECURITY .................. II . 503 APPLICATIONS S. Huvanandana, C. Kim, J. -N. Hwang, University of Washington, USA

AN ADAPTIVE PARALLEL SYSTEM DEDICATED TO PROJECTIVE IMAGE ............... 11 . 507 MATCHING E. Pissaloux, Laboratoire de Robotique de Paris and Universite' de Rouen, France, F. Le Coat, Laboratoire de Robotique de Paris, France, A. Tissot, F. Durbin, CEADRIF/DCRE/SEIM, France

TPOl: DVD TECHNOLOGIES AND APPLICATIONS

DVD: GROUND ZERO IN THE CONVERGENCE ZONE .......................................... 11 . 511 J. Taylor, Microsoft Corporation, USA

DVD-18: APPLICATION OPPORTUNITIES & MANUFACTURING ............................ II . 512 R. Seidel, Warner Advanced Media Operations, USA

DVD: THE BRIDGE TO BROADBAND ................................................................ 11 . 513 T. Collart, Interactual Technologies, USA

MASTERING FOR DVD .................................................................................. 11 . 514 G. Smith, Paramount Pictures, USA

DVD: REDEFINING MULTIMEDIA ................................................................... 11 . 515 P. Nasiopoulos, Daikin US, USA

SILICON SOLUTIONS FOR RECORDABLE DVD PRODUCTS ENABLING STORAGE.. .. .I1 . 516 OF DIGITAL VIDEO FOR MASS MARKETS B. Saffari, Z. Naja,, C-Cube Microsystems, USA

DVD APPLICATIONS IN BUSINESS AND INDUSTRY.................... ........................ 11 . 517 S. Benedetto, Pioneer, USA

TP02: IMAGE AND VIDEO DATABASES I1

WAVELET-BASED SALIENT POINTS FOR IMAGE RETRIEVAL ............................... II . 518 E. Loupias, Laboratoire Reconnaissance de Formes et Vision, France, N. Sebe, Institute of Advanced Computer Science, The Netherlands, S. Bres, J.-M. Jolion, Laboratoire Reconnaissance de Formes et Vision, F m e

FAST RETRIEVAL METHODS FOR IMAGES WITH SIGNIFICANT VARIATIONS.. ....... II . 522 P. Fieguth, R. Wan, University of Waterloo, Canada

MULTIRESOLUTION-HISTOGRAM INDEXING AND RELEVANCE FEEDBACK.. .......... I1 . 526 LEARNING FOR IMAGE RETRIEVAL P. Muneesawang, L. Guan, University of Sydney, Australia

IMAGE TEXTURE DESCRIPTION USING COMPLEX WAVELET TRANSFORM. .......... .I1 . 530 S. Hatipoglu, S. Mitra, University of California, USA, N. Kingsbury, University of Cambridge, United Kingdom

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IMAGE DATABASES, SCALE AND FRACTAL TRANSFORMS ................................. 11 . 534 B. Schouten, P. de Zeeuw, Centre for Mathematics and Computer Science, The Netherlands

SHAPE MATCHING USING A CURVATURE BASED POLYGONAL APPROXIMATION ... II . 538 IN SCALE-SPACE A. Pinheiro, E. Izquierdo, M. Ghanbari, University of Essex, United Kingdom

IMAGE RETRIEVAL WITH LOCAL AND SPATIAL QUERIES ................................... 11 . 542 B. Moghaddam, Mitsubishi Electric Corporation, USA, H. Biermann, New York University, USA, D. Margaritis, Carnegie Mellon University, USA

IMAGE RETRIEVAL ON UNCOMPRESSED AND COMPRESSED DOMAINS ................ 11 . 546 R.-F. Chang, W.-J. Kuo, National Chung-Cheng University, Taiwan, H.-C. Tsai

TP03: MOTION ESTIMATION I1

MOTION ESTIMATION USING THE SPATIO-TEMPORAL CONTINUOUS WAVELET.. .. .I1 . 550 TRANSFORM: NEW RESULTS AND ALTERNATIVE IMPLEMENTATIONS F. Mujica, Texas Instruments, USA, R. Murenzi, Clark Atlanta University, USA, M. Smith, Georgia Institute of Technology, USA, S.4 Park, Motorola, USA

MESH AND "CRACK LINES": APPLICATION TO OBJECT-BASED MOTION...... ......... 11 . 554 ESTIMATION AND HIGHER SCALABILITY G. Marquant, S. Pateux, C. Labit, IRISA/INRIA, France

HIERARCHICAL MOTION ESTIMATION WITH SPATIAL TRANSFORMS. .................. 11 . 558 F. Lopes, M. Ghanbari, University of Essex, United Kingdom

MOTION ESTIMATION WITH INCOMPLETE INFORMATION USING.. ....................... 11 . 562 OMNI-DIRECTIONAL VISION J. Lee, U. Neumann, University of Southern Califomia, USA

MOTION ESTIMATION USING ADAPTIVE BLOCKSIZE OBSERVATION MODEL AND .. 11 - 566 EFFICIENT MULTISCALE REGULARIZATION S. Tandjung, T. Gunawan, M. Chong, Nanyang Technological University, Singapore

PARAMETRIC DESCRIPTION OF OBJECT MOTION USING EMUS.... ....................... II . 570 A. Ekin, University of Rochester, USA, R. Mehrotra, Eastman Kodak Company, USA, A. Tekalp, University of Rochester, USA

DIRECTIONAL FILTERS AND A NEW STRUCTURE FOR ESTIMATION OF OPTICAL .. 11 - 574 FLOW I. Austvoll, Stavanger University College, Norway

OPTICAL FLOW ESTIMATION USING FORWARD-BACKWARD CONSTRAINT.. .......... II . 578 EQUATION A. Randnantsoa, Y. Berthoumieu, Universite' Bordeaux, France

TP04: DOCUMENT PROCESSING

SCANNER-MODEL-BASED DOCUMENT IMAGE IMPROVEMENT ............................. 11 . 582 M. Bern, D. Goldberg, Xerox PARC, USA

ON DATA-FILLING ALGORITHMS FOR MRC LAYERS .......................................... II . 586 R. De Queiroz, Xerox Corporation, USA

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ANALYSIS, UNDERSTANDING AND REPRESENTATION OF CHINESE NEWSPAPER. .. 11 . 590 WITH COMPLEX LAYOUT M. Chen, X. Ding, J. Liang, Tsinghua University, China

A NOVEL SCHEME FOR IMAGE ROTATION FOR DOCUMENT PROCESSING ............ 11 . 594 K. Mahata, A. Ramakrishnan, Indian Institute of Science, India

OPTIMIZING BLOCK-THRESHOLD SEGMENTATION FOR MRC COMPRESSION.. ...... .I1 . 597 R. de Queiroz, Z. Fan, Xerox Corporation, USA, T. Tran, Johns Hopkins University, USA

DOCUMENT IMAGE MATCHING BASED ON COMPONENT BLOCKS. ....................... 11 . 601 H. Peng, Hong Kong Polytechnic University and Southeast University, China, F. Long, W.-C. Siu, Z. Chi, D. Feng, Hong Kong Polytechnic University, China

HOUGH TECHNIQUE FOR BAR CHARTS DETECTION AND RECOGNITION IN.. ........ .I1 . 605 DOCUMENT IMAGES Y. Zhou, C. Tan, National University of Singapore, Singapore

CANCELLATION OF SHOW-THROUGH IN DUPLEX SCANNING.............. ................ 11 . 609 G. Sharma, Xerox Corporation, USA

TP05: TOMOGRAPHY BAYESIAN MULTIRESOLUTION ALGORITHM FOR PET RECONSTRUCTION.. .......... .I1 . 613 T. Frese, C. Bouman, Purdue University, USA, N. Rouze, G. Hutchins, Indiana University School of Medicine, USA, K. Sauer, University of Notre Dame, USA

LOCAL VECTOR TOMOGRAPHY BY USE OF WAVELETS ...................................... 11 . 617 K. Strahlen, Lund Institute of Technology, Sweden

EXTRACTION O F ARTERIOVENOUS MALFORMATION WITH FACTOR ANALYSIS .... .I1 . 621

OBJECT-BASED RECONSTRUCTION USING COUPLED TOMOGRAPHIC FLOWS ....... .I1 . 625 H. Feng, D. Castaiion, W. Karl, Boston University, USA, E. Miller, Northeastem University, USA

TOMOGRAPHIC RECONSTRUCTION OF HOMOGENEOUS OBJECTS USING MULTI ... .I1 . 629 STEP ART K. Strahlen, Lund Institute of Technology, Sweden

Y. Nyui, K. Ogawa, Hosei University, Japan, E. Kunieda, Keio University, Japan

A MULTILEVEL DOMAIN DECOMPOSITION ALGORITHM FOR FAST O(N"2LOGN). ... .I1 . 633 REPROJECTION OF TOMOGRAPHIC IMAGES A. Boag, Tel-Aviv University, Israel, Y. Bresler, E. Michielssen, University of Illinois at Urbana- Champaign, USA

EXTRACTION OF PULMONARY FISSURES FROM THIN-SECTION CT IMAGES ... I1 . 637 USING CALCULATION OF SURFACE-CURVATURES AND MORPHOLOGY FILTERS M. Kubo, N. Niki, University of Tokushima, Japan, K. Eguchi, National Shikoku Cancer Center Hospital, Japan, M. Kaneko, M. Kusumoto, N. Moriyama, National Cancer Center Hospital, Japan, H. Omatsu, R. Kakinuma, National Cancer Center Hospital East, Japan, H. Nishiyama, Social Health Insurance Medical Center, Japan, K. Mori, Tochigi Cancer Center, Japan, N. Yamaguchi, National Cancer Center Research Institute, Japan

IMAGING NEAR-SURFACE BURIED STRUCTURE WITH HIGH-RESOLUTION.. .......... .I1 . 641 SURFACE-WAVE GROUP-VELOCITY TOMOGRAPHY J. Martin, T. Kubota, University of South Carolina, USA, L. Long, Georgia Institute of Technology, USA

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TP06: VIDEO ENHANCEMENT ENHANCEMENT OF COMPRESSED VIDEO USING VISUAL QUALITY ...................... 11 . 645 MEASUREMENTS C. Segall, A. Katsaggelos, Northwestem University, USA

A MAXIMUM A POSTERIORI ESTIMATOR FOR HIGH RESOLUTION VIDEO ............. 11 . 649 RECONSTRUCTION FROM MPEG VIDEO Y. Altunbasak, Georgia Institute of Technology, USA, A. Patti, IO00 Liberate Technologies, USA

SIMULTANEOUS MOTION ESTIMATION AND RESOLUTION ENHANCEMENT OF.. .... .I1 . 653 COMPRESSED LOW RESOLUTION VIDEO J. Mateos, Universidad de Granada, Spain, A. Katsaggelos, Northwestern University, USA, R. Molina, Universidad de Granada, Spain

FLICKER REDUCTION IN OLD FILMS ............................................................... 11 . 657

BLOTCHES CORRECTION AND CONTRAST ENHANCEMENT FOR OLD FILM ........... 11 . 660

V. Naranjo, A. Albiol, Universidad Politecnica de Valencia, Spain

PICTURES L. Tenze, G. Ramponi, S. Carrato, University of Trieste, Italy

LOCALLY ADAPTIVE DEBLOCKING FILTER FOR LOW BIT RATE VIDEO ................ 11 . 664

LOW-COMPLEXITY POST-PROCESSING FOR ARTIFACT REDUCTION I N ................ II . 668

B. Cahill, C. Heneghan, University College Dublin, Ireland

BLOCK-DCT BASED VIDEO CODING L. Atzori, University of Cagliari, Italy, F. De Natale, University of Trento, Italy, F. Granelli, University of Genoa, Italy

A ROBUST METHOD OF IMAGE FLICKER CORRECTION FOR ............................... 11 . 672 HEAVILY-CORRUPTED OLD FILM SEQUENCES T. Ohuchi, T. Seto, T. Komatsu, T. Saito, Kanagawa University, Japan

SELECTIVE SHARPNESS ENHANCEMENT OF HEAVILY-CORRUPTED OLD FILM.. .... II . 676 SEQUENCES T. Seto, T. Ohuchi, T. Komatsu, T. Saito, Kanagawa University, Japan

MOTION COMPENSATED DE-INTERLACING FOR BOTH REALTIME VIDEO AND.. .... .I1 . 680 STILL IMAGES D. Van De Ville, W. Philips, I . Lemahieu, Ghent University, Belgium

NON-LINEAR TECHNIQUES FOR VIDEO-DEINTERLACING. ................................... 11 . 684 A. Giani, P. White, University of Southampton, United Kingdom, W. Collis, M. Weston, Snell and Wilcox, United Kingdom

TP07: IMAGE PROCESSING APPLICATIONS ROAD DETECTION IN SAR IMAGES USING GENETIC ALGORITHM WITH REGION .... 11 . 688 GROWING CONCEPT B.-K. Jeon, J.-H. Jang, K.-S. Hong, POSTECH, South Korea

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HANDWRITTEN CHINESE CHARACTER RECOGNITION THROUGH A VIDEO ........... .I1 . 692 CAMERA X. Tang, C. Chan, Chinese University of Hong Kong, China, J. Liu, Nanyang Technological University, Singapore

A METHOD FOR SEGMENTATION OF CURSIVE HANDWRITINGS AND ITS .............. 11 . 696 APPLICATION TO CHARACTER SHAPE EXTRACTION J. Gao, X. Ding, Tsinghua University, China

ANALYSIS AND RECONSTRUCTION OF BROKEN HANDWRITTEN DIGITS ............... 11 . 700 D. Yu, University of Sydney, Australia, H. Yan, City University of Hong Kong, Hong Kong

A NEW MORPHOLOGICAL METHOD FOR CURSIVE WORD SEGMENTATION.. ......... .I1 . 704 L. Veloso, R. de Sousa, J. de Carvalho, Federal University of Paraiba, Brazil

COMBUSTION ANALYSIS BY IMAGE PROCESSING OF PREMIXED FLAMES.. ......... .I1 . 708 G. Baldini, ENEL-CESI, Italy, P. Campadelli, R. Lanzarotti, Universita degli Studi di Milano, Italy

EXTRACTION OF TREE GROUPS FROM HIGH-RESOLUTION DIGITAL SURFACE.. ... .I1 . 712 MODELS S. Mayer, German Aerospace Center, Germany

AN ALGORITHM FOR CONTRAST ENHANCEMENT AND SEGMENTATION OF.. ....... .I1 . 716 COMPLEX GEOPHYSICAL IMAGES C. Gout, Universite' de Pau, France, S. Vieira-Teste', TOPCAD SA, France

CRATERS DETECTION VIA POSSIBILISTIC SHELL CLUSTERING .......................... 11 . 720 M. Bami, A. Mecocci, G. Perugini, University of Siena, Italy

ACTIVE CONTOUR BASED ROCK SOLE RECOGNITION ........................................ II . 724 C.-H. Kuo, A. Tewfk, University of Minnesota, USA

AUTOMATIC EXTRACTION OF URBAN REGIONS FROM MULTISPECTRAL SPOT. ... .I1 . 728 SATELLITE IMAGERY Q. Jiang, Georgia Institute of Technology, USA, T. Keaton, HRL Laboratories, LLC, USA

TEXTURE-BASED SEGMENTATION OF SATELLITE WEATHER IMAGERY ............... .I1 . 732 V. Lakshmanan, National Severe Storms Laboratory, USA, V. DeBrunner, University of Oklahoma, USA, R. Rabin, National Severe Storms Laboratory, USA

DEFORMATION OF A CARTOGRAPHIC ROAD NETWORK ON A SPOT SATELLITE .... 11 . 736 IMAGE G. Rellier, X. Descombes, J. Zerubia, INRIA, France

TP08: STEREOSCOPIC AND 3-D IMAGE ANALYSIS RANGE IMAGE SEGMENTATION WITH APPLICATION TO CAD MODEL ................... 11 . 740 ACQUISITION I. Khalqa, University of Waterloo, Canada, M. Moussa, Wilfrid Laurier University, Canada, M. Kamel, University of Waterloo, Canada

DENSE RANGE IMAGE SMOOTHING USING ADAPTIVE REGULARIZATION,. ............ II . 744 Y. Sun, University of Tennessee, USA, J.-K. Paik, Chung-Ang University, South Korea, J. Price, M. Abidi, University of Tennessee, USA

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GRADIENT BASED POLYHEDRAE SEGMENTATION FOR 3-D RANGE IMAGE.. .......... II . 748 S. Li, D. Zhao, University of Michigan-Dearbom, USA

INCREMENTAL SHAPE RECONSTRUCTION USING STEREO IMAGE SEQUENCES .... .I1 . 752 T. Moyung, P. Fieguth, University of Waterloo, Canada

RECOVERING THE VANISHING SELF-POLAR TRIANGLE FROM A SINGLE VIEW.... .. 11 . 756 OF A PLANAR PATTERN P. Gurdjos, R. Payrissat, IRlT - UPS, France

OBJECT MODELING USING SPACE CARVING .................................................... I1 . 760 E. Hemayed, A. Farag, University of Louisville, USA

ROBUST DEPTH-MAP ESTIMATION FROM IMAGE SEQUENCES WITH PRECISE.. .... .I1 . 764 CAMERA OPERATION PARAMETERS W. Zheng, Y. Kanatsugu, Y. Shishikui, Y. Tanaka, NHK Science and Technical Research Laboratories, Japan

A HIERARCHICAL GENETIC DISPARITY ESTIMATION ALGORITHM FOR,. ............. .I1 . 768 MULTIVIEW IMAGE SYNTHESIS L. Luo, D. Clewer, D. Bull, C. Canagarajah, University of Bristol, United Kingdom

GENERATION OF A DISPARITY PANORAMA USING A 3-CAMERA CAPTURING ...... .I1 . 772 SYSTEM K. Yamada, T. Ichikawa, Telecommunications Advancement Organization of Japan, Japan, T. Naemura, K. Aizawa, Telecommunications Advancement Organization of Japan and University of Tokyo, Japan, T. Saito, Telecommunications Advancement Organization of Japan and Kanagawa University, Japan

A NEW METHOD FOR PERSPECTIVE VIEW REGISTRATION. ................................ 11 . 776

A GENERALIZED 3D SHAPE SAMPLING METHOD AND FILE FORMAT FOR... .......... 11 . 780

L. Lucchese, University of Califomia at Santa Barbara, USA and Universita'di Padova, Italy

STORAGE OR INDEXING J. -J. Chen, Industrial Technology Research Institute, Taiwan, C. -C. Chiang, Industrial Tech. Research Institute, Taiwan, D. Lin, National Chiao-Tung University, Taiwan

TP09: COLOR IMAGE PROCESSING

CHROMATICITY DIFFUSION ........................................................................... 11 . 784 B. Tang, G. Sapiro, University of Minnesota, USA, V. Caselles, Universitat Pompeu Fabra, Spain

ENHANCEMENT OF COLOR IMAGES IN POOR VISIBILITY CONDITIONS ................. 11 . 788

HYPERCOMPLEX WIENER-KHINTCHINE THEOREM WITH APPLICATION TO .......... .I1 . 792

K. Tan, J. Oakley, University of Manchester, United Kingdom

COLOR IMAGE CORRELATION T. Ell, , USA, S. Sangwine, University of Reading, United Kingdom

COMPARISON OF COLOR IMAGE EDGE DETECTORS IN MULTIPLE COLOR.. ......... .I1 . 796 SPACES S. Wesolkowski, University of Guelph, Canada, M. Jemigan, University of Waterloo, Canada, R. Dony, University of Guelph, Canada

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UNSUPERVISED COLOR TEXTURE FEATURE EXTRACTION AND SELECTION FOR. .. 11 . 800 SOCCER IMAGE SEGMENTATION N. Vandenbroucke, L. Macaire, Laboratoire d'Automatique, France, J.-G. Postaire, Universite' des Sciences et Technologies de Lille, France

WAVELET-BASED COLOR IMAGE DENOISING .................................................... I1 . 804 B. Thomas, Sierra Imaging, Inc., USA, J. Rodriguez, University of Arizona, USA

A FUZZY COLOR CREDIBILITY APPROACH TO COLOR IMAGE FILTERING ............. 11 . 808 C. Vertan, N. Boujemaa, INRIA, France , V. Buzuloiu, Politehnica University, Romania

A COLOR EDGE DETECTOR BASED ON DEMPSTER-SHAFER THEORY ................... 11 . 812 M. Chapron, ENSEA-ETIS, France

A NORMALIZED COLOR DIFFERENCE EDGE DETECTOR BASED ON QUATERNION .. 11 - 816 REPRESENTATION C. Cai, Huaqiao University, China, S. Mitra, University of California, USA

A COLOR EDGE DETECTOR BASED ON STATISTICAL RUPTURE TESTS ................. 11 . 820 M. Chapron, ENSEA-ETIS, France

GAMUT CLIPPING I N COLOR IMAGE PROCESSING ............................................ I1 . 824 C. Yang, Chinese University of Hong Kong, China, S. Kwok, Hong Kong University of Science & Technology, China

TP10: VIDEO CODING I1 DICTIONARY APPROXIMATION FOR MATCHING PURSUIT VIDEO CODING ........... .I1 . 828 R. Ne& A. Zakhor, University of California, Berkeley, USA

ADAPTIVE GOP STRUCTURE SELECTION FOR REAL-TIME MPEG-2 VIDEO.. ........... II . 832 ENCODING Y. Yokoyama, NEC Corporation, Japan

LOW BIT-RATE SUBBAND VIDEO CODING USING CONTEXT MODELS .................... 11 . 836 M. Coban, R. Mersereau, Georgia Institute of Technology, USA

EFFICIENT CODING OF SEGMENTATION MAPS FOR LAYERED OBJECT ................. 11 . 840 REPRESENTATIONS H. Schwarz,, Heinrich-Hertz-lnstitut fur Nachrichtentechnik Berlin, Germany, E. Muller, Universitat Rostock, Germany

VIDEO COMPRESSION USING INTEGER DCT ..................................................... 11 . 844 Y.-J. Chen, S. Oraintara, T. Nguyen, Boston University, USA

ON IMPROVING MPEG SPATIAL SCALABILITY................................ .................. I1 . 848 M. Domanski, A. Luczak, S. Mackowiak, Poznan University of Technology, Poland

TRELLIS-BASED R-D OPTIMAL QUANTIZATION IN H.263+ ................................... I1 . 852 M. Luttrell, J. Wen, Packetvideo Corporation, USA, J. Villasenor, University of California, Los Angeles, USA

SCALABLE LOSSY TO LOSSLESS VIDEO CODING VIA ADAPTIVE 3D WAVELET ...... 11 . 855 TRANSFORM AND CONTEXT MODELING T. Qiu, X. Wu, Z. Xiao, University of Western Ontario, Canada

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SIGNIFICANCE TREE IMAGE SEQUENCE CODING WITH DCT-BASED PYRAMID.. ..... I1 . 859 STRUCTURE C.-K. Cheong, K . 4 Cho, S.-W. Lee, Hoseo University, South Korea

AN EFFICIENT ALGORITHM FOR REALIZING MATCHING PURSUITS AND ITS ....... .I1 . 863 APPLICATIONS IN MPEG4 CODING SYSTEM K.-P. Cheung, Y.-H. Chan, Hong Kong Polytechnic University, China

ADAPTIVE MOTION VECTOR VECTOR QUANTIZATION FOR VIDEO CODING.. ........ .I1 . 867 L. da Silva Cruz, University of Coimbra, Portugal, J. Woods, Rensselaer Polytechnic Institute, USA

MESH BASED VIDEO CODING AT VERY LOW BITRATE... .................................... 11 . 871

EFFICIENT MOTION COMPENSATION ALGORITHM BASED ON SECOND-ORDER.. ... .I1 . 875 PREDICTION S. Kim, C.3. Kim, S. Lee, Seoul National University, South Korea

N. Laurent, G. Robert, France Telecom, France

TP11: SHAPE AND 3D MODEL CODING

AN INTERACTIVE QUALITY EVALUATION OF REDUCED POLYGON MODEL .......... .I1 . 879 D. Kase, T. Humamoto, S. Hangai, Science University of Tokyo, Japan

A COARSE-TO-FINE APPROACH FOR THE GENERATION AND TRACKING OF.. ........ I1 . 883 MESH OBJECTS FROM A NATURAL IMAGE SEQUENCE J.-T. KO, S.-J. Wang, National Chiao-Tung University, Taiwan

FEATURE-BASED VIDEO MOSAIC .................................................................... 11 . 887 C.-T. Hsu, National Tsing-Hua University, Taiwan, T.-H. Cheng, Philips Research East Asia - Taipei, Taiwan, R. Beuker, Philips Semiconductors B. V., The Netherlands, J.-K. Horng, Philips Research East Asia - Taipei, Taiwan

CONTOUR ANALYSIS USING TIME-VARYING AUTOREGRESSIVE MODEL,. ............ .I1 . 891

REGION-BASED SCANNING FOR IMAGE COMPRESSION ...................................... 11 . 895 S.-I. Kamuta, Y. Hayashi, Kyushu University, Japan

ADAPTIVE CONTOUR SAMPLING AND CODING USING SKELETON AND. ................ 11 . 899 CURVATURE F. Jaillet, Y. Ghamri Doudane, M. Melkemi, A. Baskurt, University Claude Bernard Lyon I, France

CONSTRAINED AND UNCONSTRAINED SIMPLIFICATION OF IMAGE PARTITIONS.. .I1 . 903 ENCODED WITH THE METHOD OF TRANSITION POINTS A. Pinho, University of Aveiro, Portugal

ON DPCM AND ITS VARIATION APPLIED TO GEOMETRY COMPRESSION .............. 11 . 907 F. Ng, Intel Corporation, USA, B.-L. Yeo, EXP.com, USA, M. Yeung, Intel Corporation, USA

HIERARCHICAL CODING OF 3D MODELS WITH SUBDIVISION SURFACES .............. I1 . 911 F. Moran, N. Garcia, Universidad Politkcnica de Madrid, Spain

SHAPE APPROXIMATION THROUGH RECURSIVE SCALABLE LAYER ..................... 11 . 915 GENERATION G. Melnikov, A. Katsaggelos, Northwestern University, USA

K. Eom, George Washington University, USA

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MODEL-AIDED CODING OF MULTI-VIEWPOINT IMAGE DATA ............................... I1 . 919 M. Magnor, P. Eisert, University of Erlangen-Nuremberg, Germany, B. Girod, Stanford University, USA

FOREGROUND/BACKGROUND BIT ALLOCATION FOR REGION-OF-INTEREST. ........ .I1 . 923 CODING D. Chai, Edith Cowan University, Australia, K. Ngan, University of Westem Australia, Australia, A. Bouzerdoum, Edith Cowan University, Australia

TP12: MORPHOLOGICAL PROCESSING AND IMAGE ANALYSIS SEGMENTATION-FREE SKELETONIZATION OF GRAY-SCALE IMAGES VIA PDE'S .... II . 927 D. Chung, G. Sapiro, University of Minnesota, USA

A GRAYSCALE HIT-OR-MISS TRANSFORM BASED ON LEVEL SETS ...................... 11 . 931

FIRST STEPS TOWARDS A SELF-DUAL MORPHOLOGY ....................................... II . 934

B. Raducanu, M. Graiia, Universidad del Pais Vasco, Spain

H. Heijmans, Centre for Mathematics and Computer Science, The Netherlands, R. Keshet, Hewlett-Packard Laboratories, Israel

A PDE APPROACH TO NONLINEAR IMAGE SIMPLIFICATION VIA LEVELINGS ........ 11 . 938 AND RECONSTRUCTION FILTERS P. Maragos, National Technical University of Athens, Greece, F. Meyer, Ecole des Mines de Paris, France

MULTIRESOLUTION HIDDEN MARKOV TREES FOR ANALYSIS OF AUTOMATIC.. ... .I1 . 942 TARGET RECOGNITION ALGORITHMS D. Stanford, Mathsofl, USA, J. Pitton, University of Washington, USA

FAST CLASSIFICATION USING WEIGHTED DISTORTION ..................................... 11 . 946

IMPULSE RESTORATION TEMPLATE MATCHING UNDER GEOMETRIC ................... 11 . 950

A. Aiyer, R. Gray, Stanford University, USA

UNCERTAINTIES R. Dufour, E. Miller, Northeastem University, USA, N. Galatsanos, Illinois Institute of Technology, USA

A PYRAMIDAL ALGORITHM FOR AREA MORPHOLOGY ...................................... 11 . 954 S. Acton, University of Virginia, USA

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TABLE OF CONTENTS Volume I11

WAO1: SECOND GENERATION DIGITAL WATERMARKING METHODS INFORMED EMBEDDING: DURING WATERMARK INSERTION M. Miller, I. Cox, J. Bloom, NEC Research Institute, USA

EXPLOITING IMAGE AND DETECTOR INFORMATION.. ... .I11 . 1

A DWT-BASED OBJECT WATERMARKING SYSTEM FOR MPEG-4 VIDEO STREAMS.. 111 - 5 A. Piva, R. Caldelli, A. De Rosa, Universitd di Firenze, Italy

FOURIER DESCRIPTORS WATERMARKING O F VECTOR GRAPHICS IMAGES ......... .I11 . 9

OBLIVIOUS COCKTAIL WATERMARKING BY SPARSE CODE SHRINKAGE: A.. ....... .I11 . 13

V. Solachidis, N. Nikolaidis, I. Pitas, Aristotle University of Thessaloniki, Greece

REGIONAL- AND GLOBAL-BASED SCHEME C.3. Lu, H. - Y. Liao, Academia Sinica, Taiwan

ROBUSTNESS OF A BLIND IMAGE WATERMARKING SCHEME .............................. III . 17 J. Eggers, J. Su, University of Erlangen-Nuremberg, Germany, B. Girod, Stanford University, USA

ROBUSTNESS OF AN ASYMMETRIC WATERMARKING TECHNIQUE ....................... 111 . 21 T. Furon, Thomson Multimedia, France, P. Duhamel, Ecole Nationale Superieure des Telecommunication de Paris, France

CHANNEL CODING I N VIDEO WATERMARKING: IMPROVE THE WATERMARK RETRIEVAL S. Baudry, P. Nguyen, Thomson CSF Communications, France, H. Maitre, ENST, France

DIGITAL WATERMARKING USING COMPLEX WAVELETS .................................... 111 . 29 P. Loo, N. Kingsbury, University of Cambridge, United Kingdom

USE OF SOFT DECODING TO ....... 111 . 25

WA02: IMAGE CONTENT EXTRACTION AND DESCRIPTION FOR MULTIMEDIA

MULTIMEDIA UNDERSTANDING: CHALLENGES I N THE NEW MILLENNIUM.. ......... .I11 . 33 M. Naphade, T. Huang, University of Illinois at Urbana-Champaign, USA

FRAMING THROUGH PERIPHERAL PERCEPTION........ ....................................... 111 . 38 B. Clarkson, A. Pentland, MIT, USA

A HIERARCHICAL CHARACTERIZATION SCHEME FOR IMAGE RETRIEVAL.. ......... .I11 . 42 W. Liu, Microsoft Research, China, T. Wang, Tsinghua University, China, H. Zhang, Microsoft Research, China

EXPERIMENTS IN CONSTRUCTING BELIEF NETWORKS FOR IMAGE ..................... 111 . 46 CLASSIFICATION SYSTEMS S. Paek, S. Chang, Columbia University, USA

3D MODEL ENHANCED FACE RECOGNITION ..................................................... 111 . 50 W. Zhao, Samoff Corporation, USA, R. Chellappa, University of Maryland, USA

CHARACTERIZATION OF PERCEPTUAL IMPORTANCE FOR OBJECT-BASED ........... III . 54 IMAGE SEGMENTATION H. Wong, L. Guan, University of Sydney, Australia

DYNAMIC RESOURCE ALLOCATION VIA VIDEO CONTENT AND SHORT-TERM ...... .I11 . 58 TRAFFIC STATISTICS M. Wu, R. Joyce, S. Kung, Princeton University, USA

SOURCE MODELS FOR CONTENT-BASED VIDEO CODING,... ................................ 111 . 62 J. Ostermann, AT&T Labs - Research, USA, M. Kampmann, Universitat Hannover, Germany

WA03: VIDEO OBJECT TRACKING

TOPOLOGY-INDEPENDENT REGION TRACKING WITH LEVEL SETS ....................... III . 66 A.-R. Mansouri, A. Olivier, J. Konrad, INRS-Telecommunications, Canada

MEAN SHIFT AND OPTIMAL PREDICTION FOR EFFICIENT OBJECT TRACKING.. .... .I11 . 70 D. Comaniciu, V. Ramesh, Siemens Corporate Research, USA

OBJECT TRACKING BY ADAPTIVE MODELING ................................................... 111 . 74 A. Rares, M. Reinders, Delft University of Technology, The Netherlands

A MULTI-FRACTAL FORMALISM FOR STABILIZATION, OBJECT DETECTION AI TRACKING IN FLIR SEQUENCES H. Shekarforoush, R. Chellappa, University of Maryland, USA

ROBUST SHAPE TRACKING I N THE PRESENCE O F CLUTTERED BACKGROUND J. Nascimento, J. Marques, Instituto Superior Tecnico, Portugal

D... 111 . 78

HIERARCHICAL MODEL BASED HUMAN MOTION TRACKING ............................... 111 . 86 Y. Zhuang, Q. Zhu, Y. Pan, X. Liu, Zhejiang University, China

MULTIFRAME BAYESIAN TRACKING OF CLUTTERED TARGETS WITH RANDOM.. .. .I11 . 90 MOTION M. Bruno, University of Suo Paulo, Brazil, J. Moura, Massachusetts Institute of Technology, USA

OBJECT TRACKING WITH SHAPE REPRESENTATION NETWORK USING COLOR.. ... .I11 . 94 INFORMATION Y. Matsuzawa, I. Kumazawa, Tokyo Institute of Technology, Japan

WA04: ARCHITECTURES AND SOFTWARE

PERFORMANCE ANALYSIS OF AN H.263 VIDEO ENCODER FOR VIRAM ................ 111 . 98 T. Nguyen, A. Zakhor, K. Yelick, University of California, Berkeley, USA

TRANSPOSE MEMORY FOR VIDEO RATE JPEG COMPRESSION ON HIGHLY .......... . H I . 102 PARALLEL SINGLE-CHIP DIGITAL CMOS IMAGER J. Hsieh, Stanford University, USA, A. van der Avoird, R. Kleihorst, Philips Research Laboratories, The Netherlands, T. Meng, Stanford University, USA

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DYNAMIC MEMORY MODEL BASED OPTIMIZATION O F SCALAR AND VECTOR.. .... III . 106 QUANTIZER FOR FAST IMAGE ENCODING G. Cheung, S. McCanne, University of California, Berkeley, USA

RECONFIGURABLE HARDWARE FOR REAL TIME IMAGE PROCESSING ................. 111 . 110 L. Kessal, D. Demigny, N. Boudouani, R. Bourgiba, Cergy-Pontoise University, France

A FAST 2-D DCT ALGORITHM VIA DISTRIBUTED ARITHMETIC OPTIMIZATION ..... .I11 . 114 W. Pan, University of Southern Calijiomia, USA

MOTION ESTIMATION WITH POWER SCALABILITY AND ITS VHDL MODEL.. .......... 111 . 118 A. Takagi, Tokyo Metropolitan University, Japan, S. Muramatsu, Niigata University, Japan, H. Kiya, Tokyo Metropolitan University, Japan

IMAGE AND VIDEO PROCESSING USING MAJC 5200 .......................................... I11 . 122 S. Sudharsanan, P. Sriram, H. Frederickson, A. Gulati, Sun Microsystems, Inc., USA

VLSI IMPLEMENTATION OF A REDUCED MEMORY BANDWIDTH REALTIME EZW ... III . 126 VIDEO CODER Y. Dong, R. Omaki, Osaka University, Japan, T. Oneye, Kyoto University, Japan, I. Shirakawa, Osaka University, Japan

WA05: MOTION COMPENSATED VIDEO CODING

A NEW MOTION COMPENSATION ON A WAVELET TRANSFORM DOMAIN .............. III . 130 S. Joo, H. Kikuchi, Niigata University, Japan

CODE EXCITED PEL-RECURSIVE MOTION COMPENSATED VIDEO CODING.. .......... III . 134 J. Shen, W.-Y. Chan, Illinois Institute of Technology, USA

MODEL-AIDED CODING: USING 3-D SCENE MODELS IN MOTION-COMPENSATED ... III . 138 VIDEO CODING P. Eisert, T. Wiegand, University of Erlangen-Nuremberg, Germany, B. Girod, Stanford University, USA

HIERARCHICAL WAVELET VIDEO CODING USING WARPING PREDICTION.. ........... III . 142 M. Wien, Rheinisch- Wesgalische Technische Hochschule, Germany

MODELING AND CODING OF DFD USING DENSE MOTION FIELDS IN VIDEO .......... III . 146 COMPRESSION S.-C. Han, C-Cube Microsystems, USA, C. Podilchuk, Bell Laboratories, Lucent Technologies, USA

RATE-CONSTRAINED MULTI-HYPOTHESIS MOTION-COMPENSATED PREDICTION.. . III . 150 FOR VIDEO CODING M. Flierl, T. Wiegand, University of Erlangen-Nuremberg, Germany, B. Girod, Stanford University, USA

A RATE-DISTORTION APPROACH TO WAVELET-BASED ENCODING OF .................. III . 154 PREDICTIVE ERROR FRAMES E. Asbun, Purdue University, USA, P. Sulama, Indiana University and Purdue University, USA, E. Delp, Purdue University, USA

ANALYSIS OF SPACE-DEPENDENT CHARACTERISTICS O F ................................. I11 . 158 MOTION-COMPENSATED FRAME DIFFERENCES W. Zheng, Y. Kanatsugu, NHK Science and Technical Research Laboratories, Japan, S. Itoh, Science University of Tokyo, Japan, Y. Tanaku, NHK Science and Technical Research Laboratories, Japan

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WA06: WAVELET IMAGE CODING I1 AN EFFICIENT EMBEDDED ZEROTREE WAVELET IMAGE CODEC BASED ON.. ....... .I11 . 162 INTRABAND PARTITIONING Z. Liu, L. Karam, Arizona State University, USA

OPTIMAL QUANTIZATION ERROR FEEDBACK FILTERS FOR WAVELET IMAGE.. .... .I11 . 166 COMPRESSION Z. He, S. Mitra, University of California, USA

BLOCKWISE ZERO MAPPING IMAGE CODING .................................................... 111 . 170 Z. He, T.-H. Yu, S. Mitra, University of Califomia, USA

SIMPLE AND EFFICIENT WAVELET IMAGE COMPRESSION........ ......................... 111 . 174

INTRA AND INTER-BAND INFORMATION EVALUATION IN STILL IMAGE CODING ...HI . 178

T.-H. Yu, Z. He, S. Mitra, University of Califomia, USA

BY MEANS OF THE WAVELET TRANSFORM. S. Maldonado-Bascon, F. Lopez-Ferreras, F. Acevedo-Rodriguez, H. Gomez-Moreno, Alcala de Henares University, Spain

ADAPTIVE SCANNING METHODS FOR WAVELET DIFFERENCE REDUCTION IN.. .... .I11 . 182 LOSSY IMAGE COMPRESSION J. Walker, University of Wisconsin-Eau Claire, USA, T. Nguyen, Boston University, USA

VISUAL EMBEDDING OF WAVELET TRANSFORM COEFFICIENTS ......................... 111 . 186 D. Monro, University of Bath, United Kingdom, J.-L. Aufranc, Institute National Polytechnique de Grenoble, France, E. Poh, M. Bowers, University of Bath, United Kingdom

EVALUATION OF A QUINCUNX WAVELET FILTER DESIGN APPROACH FOR.. ........ .I11 . 190 QUADTREE-BASED EMBEDDED IMAGE CODING G. Van der Auwera, A. Munteanu, J. Comelis, University of Brussels, Belgium

SCALABLE IMAGE CODING WITH PRO JECTION-BASED CONTEXT MODELING.. ...... .I11 . 194 A. Deever, S. Hemami, Come11 University, USA

A NEW RESOLUTION PROGRESSIVE CODING SCHEME USING A SORTING.. ........... 111 . 198 ALGORITHM T. Takahara, M. Okuda, M. Ikehara, S. Takahashi, Keio University, Japan

REGION-BASED SUBBAND/WAVELET IMAGE CODING ......................................... 111 . 202 P. Chen, J. Woods, Rensselaer Polytechnic Institute, USA

FINITE PRECISION WAVELETS FOR IMAGE CODING: LOSSY AND LOSSLESS.. ...... .I11 . 206 COMPRESSION PERFORMANCE EVALUATION M. Grangetto, E. Magli, G. Olmo, Politecnico di Torino, Italy

WA07: MULTIMEDIA APPLICATIONS ROBUST HEAD POSE ESTIMATION BY MACHINE LEARNING ................................ III . 210 C. Wang, M. Brandstein, Harvard University, USA

FUSING AUDIO AND VISUAL FEATURES OF SPEECH ......................................... 111 . 214 H. Pan, Z.-P. Liang, T. Huang, University of Illinois at Urbana-Champaign, USA

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PROPOSAL OF REAL WORLD VIDEO STREAM DESCRIPTION ............................... 111 . 218 LANGUAGE(VSDL-RW) AND ITS APPLICATION Y. Cao, W. Zhang, Y. Yaginuma, M. Sakauchi, University of Tokyo, Japan

PARISS: SIMILARITY SEARCH G. Frederix, Kathollieke Universiteit Leuven, Belgium, G. Caenen, Kathollieke Universiteit Leuven , Belgium, E. Pauwels, Kathollieke Universiteit Leuven and Centre for Mathematics and Computer Science, Belgium

LIP FEATURE EXTRACTION TOWARDS AN AUTOMATIC SPEECHREADING ............ III . 226 SYSTEM X. Zhang, R. Mersereau, Georgia Institute of Technology, USA

HIGHER-ORDER SPECTRAL ANALYSIS OF HUMAN MOTION...... .......................... I11 . 230 A. Rajagopalan, R. Chellappa, University of Maryland, USA

NORMALIZED TRAINING FOR HMM-BASED VISUAL SPEECH RECOGNITION .......... III . 234 Y. Nankaku, K. Tokuda, T. Kitamura, Nagoya Institute of Technology, Japan, T. Kobayashi, Tokyo Institute of Technology, Japan

INDIVIDUAL 3D FACE SYNTHESIS BASED ON ORTHOGONAL PHOTOS AND ........... III . 238 SPEECH-DRIVEN FACIAL ANIMATION S. Shan, Chinese Academy of Sciences, China, W. Gao, Chinese Academy of Sciences and Harbin Institute of Technology, China, J. Yan, Microsoft Research, China, H. Zhang, X. Chen, Harbin Institute of Technology, China

A VISUAL TRACKING SYSTEM FOR SPORTS VIDEO ANNOTATION IN ................... III . 242 UNCONSTRAINED ENVIRONMENTS A. Tomita, T. Echigo, M. Kurokawa, IBM Research, Tokyo Research Laboratory, Japan, H. Miyamori, S.-I. Iisaku, Ministry of Posts and Telecommunications, Japan

PANORAMIC, ADAPTIVE AND RECONFIGURABLE INTERFACE FOR.. ........ I11 . 222

INTERACTIVE DVD PROGRAMMING USING NEXT GENERATION CONTENT-BASED . . III - 246 ENCODED MULTIMEDIA DATA K. Pronina, R. Ward, P. Nasiopoulos, University of British Columbia, Canada

RECURSIVE PROPAGATION OF CORRESPONDENCES WITH APPLICATIONS TO ..... .I11 . 250 THE CREATION OF VIRTUAL VIDEO R. Radke, P. Ramadge, S. Kulkarrti, Princeton University, USA, T. Echigo, IBM Research, Tokyo Research Laboratory, Japan, S. -I. lisaku, Ministry of Posts and Telecommunications, Japan

WA08: IMAGE DENOISING COMPLEXITY-REGULARIZED DENOISING O F POISSON-CORRUPTED DATA. ........... III . 254 J. Liu, P. Moulin, University of Illinois at Urbana-Champaign, USA

WAVELET-BASED IMAGE DENOISING USING HIDDEN MARKOV MODELS ............... III . 258 G. Fan, X.-G. Xia, University of Delaware, USA

IMAGE DENOISING USING WAVELET THRESHOLDING AND MODEL SELECTION.. ... III . 262 S. Zhong, University of Texas at Austin, USA, V. Cherkassky, University of Minnesota, Twins Cities, USA

NONLINEAR FILTERING I N THE WAVELET TRANSFORM DOMAIN.......... .............. III . 266 Y. Hawwar, A. Reza, University of Wisconsin-Milwaukee, USA

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SHIFT INVARIANT RESTORATION . AN OVERCOMPLETE MAXENT MAP ................ III . 270 FRAMEWORK P. Ishwar, P. Moulin, University of Illinois at Urbana-Champaign, USA

A NEW RESTORATION METHOD AND ITS APPLICATION TO SPECKLE IMAGES ....... 111 . 273 I. Duskunovic, G. Stippel, A. Pizurica, W. Philips, I. Lemahieu, University of Gent, Belgium

IMAGE DENOISING VIA ADJUSTMENT O F WAVELET COEFFICIENT MAGNITUDE ... .I11 . 277 CORRELATION J. Portilla, E. Simoncelli, New York University, USA

AN INNOVATIVE APPROACH FOR SPATIAL VIDEO NOISE REDUCTION USING A. .... 111 . 281 WAVELET BASED FREQUENCY DECOMPOSITION A. De Stefano, P. White, W. Collis, University of Southampton, United Kingdom

NONLINEAR FILTERING IMPULSE NOISE REMOVAL FROM CORRUPTED IMAGES.. .I11 . 285 D. Zhang, Z. Shi, H. Wang, D. Kouri, University of Houston, USA, D. HofSman, Iowa State University, USA

IMAGE DENOISING USING SCALE-ADAPTIVE LIFTING SCHEMES ......................... 111 . 288 J. Stepien, T. Zielinski, R. Rumian, Stanislaw Staszic University of Mining & Metallurgy, Poland

IMAGE DENOISING USING DIRECTIONAL FILTER BANKS ................................... 111 . 292 J. Rosiles, M. Smith, Georgia Institute of Technology, USA

A WAVELET-BASED IMAGE DENOISING TECHNIQUE USING SPATIAL PRIORS.. ..... .I11 . 296 A. Pizurica, W. Philips, I. Lemahieu, Ghent University, Belgium, M. Acheroy, Royal Military School, Belgium

SPATIALLY ADAPTIVE IMAGE DENOISING UNDER OVERCOMPLETE EXPANSION.. .I11 . 300 X. Li, M. Orchard, Princeton University, USA

MODELLING THE AUTOCORRELATION OF WAVELET COEFFICIENTS FOR IMAGE ... 111 . 304 DENOISING H. Zhang, Rice University, USA, A. Nosratinia, University of Texas at Dallas, USA, R. Wells, Rice University, USA

WA09: NEURAL NETWORKS, ADAPTIVE AND FUZZY PROCESSING A LOW-LEVEL CORTICAL PERCEPTION MODEL WITH APPLICATIONS TO IMAGE ... 111 . 308 ANALYSIS I. Gorodnitsky, J. Hershey, University of Califomia, San Diego, USA

AN ENTROPY MINIMIZATION PRINCIPLE FOR SEMI-SUPERVISED TERRAIN.. ....... .I11 . 312 CLASSIFICATION A. Guerrero-Curieses, J. Cid-Sueiro, Universidud Carlos I l l de Madrid, Spain

EFFICIENT HIGH-ORDER IMAGE SUBSAMPLING USING FANNS ............................ 111 . 316 A. Dumitras, F. Kossentini, University of British Columbia, Canada

HIERARCHICAL IMAGE PROBABILITY (HIP) MODELS......................................... 111 . 320 C. Spence, L. Parra, P. Sajda, Sarnoff Corporation, USA

FUZZY REPRESENTATION AND GROUPING I N BUILDING DETECTION ................... 111 . 324 S. Levitt, F. Aghdasi, University of the Witwatersrand, South Africa

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COMPOUND PCA-ICA NEURAL NETWORK MODEL FOR ENHANCEMENT AND .... III . 328 FEATURE EXTRACTION OF MULTI-FREQUENCY POLARIMETRIC SAR IMAGERY S. Chitroub, A. Houacine, B. Sansal, University of Sciences & Technology of Houari Boumedienne, Algeria

MATCHING LINES AND POINTS IN AN ACTIVE STEREO VISION SYSTEM USING, .... 111 . 332 GENETIC ALGORITHMS S. Woo, A. Dipanda, Universite de Bourgogne, France

GENERALIZED NEURAL TREES FOR OUTDOOR SCENE UNDERSTANDING .............. 111 . 336 G. Foresti, W. Vanzella, University of Udine, Italy

EVALUATING THE QUALITY OF PELLET COMPONENT BY USING IMAGE ............... 111 . 340 PROCESSING TECHNIQUE WITH NEURAL NETWORKS N. Zeng, K. Taniguchi, Fukui University, Japan, H. Yamamoto, T. Konaka, SYSMEX Corp., Japan, S. Watanabe, Y. Nakano, Fukui University, Japan

AN APPEARANCE BASED NEURAL IMAGE PROCESSING ALGORITHM FOR 3-D....... 111 . 344 OBJECT RECOGNITION C. Yuan, H. Niemann, University of Erlangen-Nuremberg, Germany

COLOR IMAGE SEGMENTATION BASED ON FUZZY MATHEMATICAL .................... 111 . 348 MORPHOLOGY A. Gillet, L. Macaire, C. Botte-Lecocq, J.-G. Postaire, Universite des Sciences et Technologies de Lille, F m e

WA10: ERROR RESILIENT CODING AND ERROR CONCEALMENT

ERROR-RESILIENT VIDEO COMPRESSION THROUGH THE USE OF MULTIPLE ........ III . 352 STATES J. Apostolopoulos, Hewlett Packard Laboratories, USA

WORST-CASE CRITERION FOR CONTENT-BASED ERROR-RESILIENT VIDEO ......... .I11 . 356 CODING W.-H. Chen, J.-N. Hwang, H.-F. Hsiao, University of Washington, USA

CONSTRUCTION OF ERROR RESILIENT SYNCHRONIZATION CODEWORD FOR.. ..... 111 . 360 VARIABLE-LENGTH CODE IN IMAGE TRANSMISSION Y . 3 Lee, W.-S. Chang, H.-H. Ho, C.-Y. Lee, National Chiao-Tung University, Taiwan

AN ERROR RESILIENT CODING TECHNIQUE FOR JPEG2000 ................................. III . 364 H. Man, Stevens Institure of Technology, USA, F. Kossenrini, University of British Columbia, Canada, M. Smith, Georgia Institute of Technology, USA

LAPPED ORTHOGONAL TRANSFORM DESIGNED FOR ERROR RESILIENT IMAGE.. . .I11 . 368 CODING D. Chung, Y. Wang, Polytechnic University, USA

PACKET-LOSS RESILIENT INTERNET VIDEO USING MPEG-4 FINE GRANULAR ....... 111 . 372 SCALABILITY M. van der Schaar, H. Radha, Philips Research, USA

ON THE PERFORMANCE OF TEMPORAL ERROR CONCEALMENT FOR, .................. 111 . 376 LONG-TERM MOTION-COMPENSATED PREDICTION M. Al-Mualla, C. Canagarajah, D. Bull, University of Bristol, United Kingdom

SWITCHED ERROR CONCEALMENT AND ROBUST CODING DECISIONS IN ............. 111 . 380 SCALABLE VIDEO CODING R. Zhang, S. Regunathan, K. Rose, University of Califomia, Santa Barbara, USA

ROBUST ERROR CONCEALMENT ALGORITHM USING ITERATIVE WEIGHTED.. ....... III . 384 BOUNDARY MATCHING CRITERION Y. Jung, Y.-G. Kim, Y. Choe, Yonsei University, South Korea

AN EFFICIENT, SIMILARITY-BASED ERROR CONCEALMENT METHOD FOR.. ........ .I11 . 388 BLOCK-BASED CODED IMAGES I . Ismaeil, S. Shirani, F. Kossentini, R. Ward, University of British Columbia, Canada

ADAPTIVE POST-PROCESSING ERROR CONCEALMENT BASED ON FEEDBACK.. .... .I11 . 392 FROM A VIDEO-SURVEILLANCE SYSTEM F. Granelli, F. Oberti, C. Regazzoni, University of Genoa, Italy

BACKWARD TRACKING OF B-PICTURES BIDIRECTIONAL MOTION FOR ................ 111 . 396 INTERFRAME CONCEALMENT OF ANCHOR PICTURES T. Shanableh, M. Ghanbari, University of Essex, United Kingdom

PRIORITY DROPPING IN NETWORK TRANSMISSION OF SCALABLE VIDEO.. ......... .I11 . 400 T. Tian, A. Li, University of Califomia, Los Angeles, USA, J. Wen, Packetvideo Corporation, USA, J. Villasenor, University of Califomia, Los Angeles, USA

WA11: MEDICAL IMAGE ANALYSIS SEGMENTING SKIN LESIONS WITH PARTIAL DIFFERENTIAL EQUATIONS BASED.. .I11 . 404 IMAGE PROCESSING ALGORITHMS D. Chung, G. Sapiro, University of Minnesota, USA

A NOVEL MULTIRESOLUTION COLOR IMAGE SEGMENTATION TECHNIQUE AND.. . .I11 . 408 ITS APPLICATION TO DERMATOSCOPIC IMAGE SEGMENTATION J. Gao, J. Zhang, University of Wisconsin-Milwaukee, USA, M. Fleming, Medical College of Wisconsin, USA

ROBUST SPOT FITTING FOR GENETIC SPOT ARRAY IMAGES .............................. 111 . 412 H.-Y. Chen, N. Braendle, Pattern Recognition and Image Processing Group, Austria, H. BischoJ Vienna University of Technology, Austria, H. Lapp, Novartis Research Institute, Vienna, Austria

MAMMOGRAPHIC IMAGE SEGMENTATION USING A TISSUE-MIXTURE MODEL ..... .I11 . 416 AND MARKOV RANDOM FIELDS G. McGarry, M. Deriche, Queensland University of Technology, Australia

ULTRASOUND IMAGING SIMULATION AND ECHOCARDIOGRAPHIC IMAGE.. ......... .I11 . 420 SYNTHESIS M. Song, R. Haralick, F. Sheehan, University of Washington, USA

SURROUNDING STRUCTURES ANALYSIS OF PULMONARY NODULES USING ........ .I11 . 424 DIFFERENTIAL GEOMETRY BASED VECTOR FIELDS Y. Kawata, N. Niki, University of Tokushima, Japan, H. Ohmatsu, National Cancer Center East, Japan, M. Kusumoto, National Cancer Center, Japan, R. Kakinuma, National Cancer Center East, Japan, K. Mori, Tochigi Cancer Center, Japan, H. Nishiyama, The Social Health Medical Center, Japan, K. Eguchi, National Shikoku Cancer Center, Japan, M. Kaneko, N. Moriyama, National Cancer Center, Japan

MODELING AND RESTORATION OF RAMAN MICROSCOPIC IMAGES ..................... 111 . 428 J. Ling, Southwest Research Institute, USA, A. Bovik, University of Texas at Austin, USA

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TUMOR DETECTION IN DIGITAL MAMMOGRAMS .............................................. 111 . 432

ACCURATE DETECTION OF 3D TUBULAR TREE STRUCTURES ............................. III . 436

A. Banerjee, R. Chellappa, University of Maryland, USA, P. Burlina, ImageCorp, Inc., USA

N. Flasque, M. Desvignes, GREYC-ISMRA, France, J.-M. Constans, Service d’IRM - CHU de Caen, France, M. Revenu, GREYC-ISMRA, France

AUTOMATED 3D REGION GROWING ALGORITHM GOVERNED BY AN.... ................ 111 . 440 EVALUATION FUNCTION C. Revol-Muller, CREATIS, CNRS, France, F. Peyrin, CREATIS, CNRS and ESRE, France, C. Odet, CREATIS, CNRS, France, Y. Carillon, CNRS, France

THE LAPLACE INTEGRAL FOR A WATERSHED SEGMENTATION,..... ..................... 111 . 444 T. Blaffert, S. Dippel, M. Stahl, R. Wiemker, Philips Research Hamburg, Germany

A GRADIENT MAGNITUDE BASED REGION GROWING ALGORITHM FOR ................ 111 . 448 ACCURATE SEGMENTATION M. Sato, S. Lakare, M. Wan, A. Kaufman, State University of New York at Stony Brook, USA, M. Nakajima, Tokyo Institute of Technology, Japan

INTERACTIVE SEGMENTATION OF BIOMEDICAL IMAGES AND VOLUMES USING.. .. III . 452 CONNECTED OPERATORS S. Benini, E. Boniotti, R. Leonardi, A. Signoroni, University of Brescia, Italy

WA12: COLOR AND MULTISPECTRAL IMAGE PROCESSING A SPECTRAL MODEL FOR HALFTONE COLOR PREDICTION. ............................... III . 456 U. Agar, Hewlett Packard, USA

BLOCK COLOR QUANTIZATION: A NEW METHOD FOR COLOR HALFTONING ........ .I11 . 460 M. Gupta, M. Gormish, S. Stork, Ricoh Silicon Valley, Inc., USA

SPOT SATELLITE DATA ANALYSIS FOR BATHYMETRIC MAPPING. ...................... 111 . 464 C. Collet, J.-N. Provost, P. Rostaing, French Naval Academy, France, P. PLrez, P. Bouthemy, IRISAANRIA, France

MULTI-BANDS IMAGE SEGMENTATION: A SCALAR APPROACH .......................... III . 468 C. Kermad, K. Chehdi, University of Rennes I, France

FUSION CLASSIFICATION OF HYPERSPECTRAL IMAGE BASED ON ADAPTIVE.. .... .I11 . 472 SUBSPACE DECOMPOSITION J. Zhang, Y. Zhang, B. Zou, T. Zhou, Harbin Institute of Technology, China

AN EFFICIENT COLOR RE-INDEXING SCHEME FOR PALETTE-BASED .................... 111 . 476 COMPRESSION W. Zeng, Sharp Laboratories of America, USA, J. Li, Microsoft Research, Beijing, China, S. Lei, Sharp Laboratories of America, USA

COLOR BASED VIDEO SEGMENTATION USING LEVEL SETS... ............................. III . 480 P. Harper, R. Reilly, University College, Ireland

IMPROVED MULTI-IMAGE RESOLUTION ENHANCEMENT FOR COLOUR IMAGES.. ... III . 484 CAPTURED BY SINGLE-CCD CAMERAS D. Messing, M. Sezan, Sharp Laboratories of America, USA

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EFFECTIVE COLOR INTERPOLATION IN CCD COLOR FILTER ARRAY USING ......... III . 488 SIGNAL CORRELATION S.-C. Pei, I.-K. Tam, National Taiwan University, Taiwan

LOCALIZATION OF COLORED OBJECTS ........................................................... 111 . 492 D. Paulus, Universitat Erlangen-Niimberg, Germany, K. Horecki, K. Wojciechowski, Schlesische Technische Universitat. Poland

USE OF DECISION TREES I N COLOUR FEATURE SELECTION. APPLICATION TO ..... 111 . 496 OBJECT RECOGNITION IN OUTDOOR SCENES J. Freixenet, X. Llad6, J. Marti, X . Cufl, University of Girona, Spain

FILTERING COLOR IMAGES IN THE XYY COLOR SPACE ..................................... 111 . 500 L. Lucchese, University of Califomia at Santa Barbara, USA and Universita' di Padova, Italy, S. Mitra, University of California at Santa Barbara, USA

WPO1: SEMANTIC FEATURE EXTRACTION IN CONSUMER CONTENTS A HISTOGRAM-BASED METHOD FOR DETECTION OF FACES AND CARS ............... 111 . 504 H. Schneiderman, T. Kanade, Carnegie Mellon University, USA

GENERATING VIDEO OBJECTS BY MULTIPLE-VIEW EXTENSIVE PARTITION ......... .I11 . 508 LATTICE OPERATORS D. Gatica-Perez, M.-T. Sun, University of Washington, USA, C. Gu, Microsoft Corporation, USA

ON THE APPLICATION OF BAYES NETWORKS T O SEMANTIC UNDERSTANDING ..... 111 . 512 OF CONSUMER PHOTOGRAPHS J. Luo, Eastman Kodak Company, USA, A. Savakis, Rochester Institute of Technology, USA, S. Etz, Eastman Kodak Company, USA, A . Singhal, University of Rochester, USA

SEMANTICS-BASED RETRIEVAL BY CONTENT....... ........................................... 111 . 516 A. Del Bimbo, University of Florence, Italy

INTEGRATING VISUAL, AUDIO AND TEXT ANALYSIS FOR NEWS VIDEO ............... 111 . 520 W. Qi, L. Gu, H. Jiang, X.-R. Chen, H. Zhang, Microsoft Research, China

SCENE ANALYSIS AND ORGANIZATION OF BEHAVIOR I N DRIVER ASSISTANCE.. . .I11 . 524 SYSTEMS W. von Seelen, C. Curio, J. Gayko, U. Handmann, T. Kalinke, Ruhr-Universitat Bochum, Germany

DISCOVERING RECURRENT VISUAL SEMANTICS IN CONSUMER PHOTOGRAPHS.. ,111 - 528 A. Jaimes, A. Benitez, S.-F. Chang, Columbia University, USA, A. Loui, Eastman Kodak Company, USA

WP02: IMAGE AND VIDEO NETWORKS HYBRID SENDER AND RECEIVER DRIVEN RATE CONTROL I N MULTICAST .......... .I11 . 532 LAYERED VIDEO TRANSMISSION F. Le Leannec, J. Vieron, X. Henocq, C. Guillemot, IRISAANRIA, France

RELATIVE PRIORITY BASED QOS INTERACTION BETWEEN VIDEO ....................... 111 . 536 APPLICATIONS AND DIFFERENTIATED SERVICE NETWORKS J. Shin, J. Kim, C.-C. Kuo, University of Southern Califomia, USA

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VIDEO MULTICAST OVER FAIR QUEUEING NETWORKS ...................................... 111 . 540 S. Servetto, M. Vetterli, LCAV - EPFL, Switzerland

ROBUST H.263+ VIDEO FOR REAL-TIME INTERNET APPLICATIONS ...................... 111 . 544 J. Chung-How, D. Bull, University of Bristol, United Kingdom

A NOVEL MPEG-4 BASED HYBRID TEMPORAL-SNR SCALABILITY FOR INTERNET .. 111 - 548 VIDEO M. van der Schaar, H. Radha, Philips Research, USA

SCALABLE OBJECT-BASED VIDEO MULTICASTING OVER THE INTERNET .............. III . 552 H.-R. Shao, W. Zhu, Y.-Q. Zhang, Microsoft Research, China

DCT-PREDICTION BASED PROGRESSIVE FINE GRANULARITY SCALABILITY.. ...... .I11 . 556 CODING F. Wu, S. Li, Y.-Q. Zhang, Microsoft Research, China

ESTIMATING DECODING TIMES OF MPEG-2 VIDEO STREAMS ............................. III . 560 L. Burchard, University of Poderbom, Germany, P. Altenbemd, C-LAB, Germany

WP03: IMAGE SEGMENTATION I1 TWO-STAGE TEXTURE SEGMENTATION USING COMPLEMENTARY FEATURES.. .... .I11 . 564 J. Luo, Eastman Kodak Company, USA, A. Savakis, Rochester Institute of Technology, USA

MEAN FIELD ANNEALING EM FOR IMAGE SEGMENTATION ................................ III . 568 W.-H. Cho, S.-H. Kim, Chonnam National University, South Korea, S.-Y. Park, J.-H. Park, Mokpo National University, South Korea

TEXTURED IMAGE SEGMENTATION USING MRF IN WAVELET DOMAIN ................ III . 572 H. Noda, Kyushu Institute of Technology, Japan, M. Shirazi, Communications Research Laboratory, Japan, E. Kawaguchi, Kyushu Institute of Technology, Japan

MULTISCALE TEXTURE SEGMENTATION USING HYBRID CONTEXTUAL.. .............. 111 . 576 LABELING TREE G. Fan, X.-G. Xia, University of Delaware, USA

IMAGE SEGMENTATION AND OBJECT RECOGNITION BY BAYESIAN GROUPING.. .... III . 580 S. Kalitzin, , The Netherlands, J. Staal, B. ter Haar Romeny, M. Viergever, Image Sciences Institute, The Netherlands

OPEN-ENDED TEXTURE CLASSIFICATION FOR TERRAIN MAPPING ...................... 111 . 584 R. Paget, D. Longstafl University of Queensland, Australia

CURVE EVOLUTION, BOUNDARY-VALUE STOCHASTIC PROCESSES, THE.. ............ III . 588 MUMFORD-SHAH PROBLEM, AND MISSING DATA APPLICATIONS A. Tsai, Massachusetts Institute of Technology, USA, A. Yeui, Georgia Institute of Technology, USA, A. Willsky, Massachusetts Institute of Technology, USA

FAST SEGMENTATION USING LEVEL SET CURVES OF COMPLEX WAVELET.. ........ III . 592 SURFACES P. de Rivaz, N. Kingsbury, University of Cambridge, United Kingdom

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WP04: MOTION ESTIMATION I11 CAMERA MOTION ESTIMATION USING FEATURE POINTS IN MPEG ...................... 111 . 596 COMPRESSED DOMAIN P. Kuhn, Sony Corporation, Japan

SELECTING THE NEIGHBOURHOOD SIZE, SHAPE, WEIGHTS AND MODEL ORDER.. .I11 . 600 IN OPTICAL FLOW ESTIMATION L. Ng, Mathsoft, USA, V. Solo, Macquarie University, Australia

VISUAL MOTION ESTIMATION VIA SECOND ORDER CONE PROGRAMMING.. ........ .I11 . 604 J. Yao, DSO National Laboratories, Singapore

A NEW BLOCK-MATCHING MOTION ESTIMATION ALGORITHM BASED ON ............. III . 608 SUCCESSIVE ELIMINATION H. Mahmoud, M. Bayoumi, University of Louisiana at Lafayette, USA

A NOVEL AFFINE INVARIANT FEATURE SET AND ITS APPLICATION IN MOTION ... 111 . 612 ESTIMATION L. Chen, ESS Technology, Singapore, Z. Lu, E. Teoh, Z. Xue, Nanyang Technological University, Singapore

ROBUST ESTIMATION OF MOTION AND STRUCTURE USING A DISCRETE Hm.... ..... 111 . 616 FILTER G. Qian, A. Kale, R. Chellappa, University of Maryland, College Park, USA

HIERARCHICAL MESH-BASED GLOBAL MOTION ESTIMATION, INCLUDING .......... .I11 . 620 OCCLUSION AREAS DETECTION N. Laurent, France Telecom , France

A FAST MOTION ESTIMATION METHOD FOR MPEG-4 ARBITRARILY SHAPED.. ..... .I11 . 624 OBJECTS K. Panusopone, X. Chen, Motorola, USA

WP05: STEREOSCOPIC AND 3-D CODING CODING OF 3D OBJECTS USING SURFACE SIGNATURES .................................... 111 . 628

JOINT GEOMETRY/TEXTURE PROGRESSIVE CODING OF 3D MODELS ................... 111 . 632

VIDEO CODING USING STREAMED 3D REPRESENTATION.. ................................. 111 . 636

EMBEDDED CODING OF STEREO IMAGES ......................................................... 111 . 640

S. Yamany, Old Dominion University, USA, A. Farag, University of Louisville, USA

M. Okuda, T. Chen, Camegie Mellon University, USA

F. Galpin, L. Morin, IRISAANRIA, France

N. Boulgouris, Aristotle University of Thessaloniki, Greece, M. Strintzis, Aristotle University of Thessaloniki and Informatics and Telematics Institute, Greece

VIRTUAL REALITY USING THE CONCENTRIC MOSAIC: RENDERING AND DATA COMPRESSION H. Shum, Microsoft Research, China, K.-T. Ng, S.-C. Chan, University of Hong Kong, China

CONSTRUCTION ,.............. 111 . 644

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MULTICHANNEL IMAGE COMPRESSION BY BIJECTION MAPPINGS ONTO.. ............ 111 . 648 ZERO-TREES J. Paredes, G. Arce, University of Delaware, USA, L. Russo, Sanders, a Lockheed Martin Company, USA

STRIPE-BASED SPIHT LOSSY COMPRESSION OF VOLUMETRIC MEDICAL .. I11 - 652 IMAGES FOR LOW MEMORY USAGE AND UNIFORM RECONSTRUCTION QUALITY Y. Kim, W. Pearlman, Rensselaer Polytechnic Institute, USA

MULTIRATE CODING OF 3D MEDICAL DATA .................................................... 111 . 656 G. Menegaz, L. Grewe, LTS DE-EPFL, Switzerland, ,I.-P. Thiran, EPFL, Switzerland

WP06: WATERMARKING AND PROTECTION SECURING IMAGES ONLINE: A PROTECTION MECHANISM THAT DOES NOT,. ....... .I11 . 660 INVOLVE WATERMARKING C. Herley, Microsojl Research, USA

ROBUST IMAGE HASHING .............................................................................. 111 . 664 R. Venkatesan, Microsoft Research, USA, S. -M. Koon, University of Illinois at Urbana- Champaign, USA, M. Jakubowski, Microsoft Research, USA, P. Moulin, University of Illinois at Urbana-Champaign, USA

AN INFORMATION-THEORETIC MODEL FOR IMAGE WATERMARKING AND DATA.. . III . 667 HIDING P. Moulin, M. Mihcak, G.-I. Lin, University of Illinois at Urbana-Champaign, USA

EFFECTIVE CHANNEL CODING FOR DCT WATERMARKS .................................... 111 . 671 S. Pereira, S. Voloshynovskiy, T. Pun, University of Geneva, Switzerland

A VARIATIONAL APPROACH FOR DIGITAL WATERMARKING .............................. 111 . 674 T.-L. Liu, H.-T. Chen, Academia Sinica, Taiwan

A WAVELET-BASED WATERMARKING FOR DIGITAL IMAGES AND VIDEO.. ........... .I11 . 678 M. Ejima, A. Miyazaki, Kyushu University, Japan

COMPARISON OF TWO WAVELET BASED IMAGE WATERMARKING SCHEMES.. ...... III . 682 F. Davoine, Universite de Technologie de Compiegne, France

COMBINING VISUAL AND DETECTION MODELS IN SPREAD-SPECTRUM ................ III . 686 WATERMARKING I. Donescu, Canon Research Centre France, France, E. Nguyen, Canon Research Centre France S. A., France

ON DIGITAL IMAGE WATERMARKING ROBUST TO GEOMETRIC ........................... 111 . 690 TRANSFORMATIONS V. Licks, R. Jordan, University of New Mexico, USA

IMAGE AUTHENTICATION AND INTEGRITY VERIFICATION VIA CONTENT-BASED.. . III . 694 WATERMARKS AND A PUBLIC KEY CRYPTOSYSTEM C.-T. Li, D.-C. Lou, T.-H. Chen, Chung Chen Institute of Technology, Taiwan

COLOR IMAGE WATERMARKING IN HSI SPACE.. .............................................. I11 . 698 D. Coltuc, P. Bolon, University of Savoie, France

COPYRIGHT LABELING O F PRINTED IMAGES ................................................... 111 . 702 H. Hel-Or, Haifa University, Israel

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MEAN QUANTIZATION BLIND WATERMARKING FOR IMAGE AUTHENTICATION .... .I11 . 706 G.-J. Yu, National Central University, Taiwan, C . 4 Lu, H.-Y. Liao, Academia Sinica, Taiwan, J,-P. Sheu, National Central University, Taiwan

MULTI-BIT IMAGE WATERMARKING ROBUST TO GEOMETRIC DISTORTIONS.. ....... III . 710 A. Tefas, I . Pitas, Aristotle University of Thessaloniki, Greece

GEOMETRIC PROPERTIES OF WATERMARKING SCHEMES .................................. 111 . 714 E.-C. Chang, Rutgers University, USA, M. Orchard, Princeton University, USA

WP07: IMAGE AND VIDEO DATABASES I11 A NEW IMAGE SIMILARITY MEASURE BASED ON ORDINAL CORRELATION.. ........ .I11 . 718 B. Cramariuc, I. Shmulevich, M. Gabbouj, Tampere University of Technology, Finland, A, Makela, Finnish Museum of Photography, Finland

IMAGE RETRIEVAL BASED ON SIMILARITY LEARNING. ..................................... 111 . 722 I. El-Naqa, M. Wemick, Y. Yang, N. Galatsanos, Illinois Institute of Technology, USA

DIMENSIONALITY REDUCTION FOR IMAGE RETRIEVAL ..................................... 111 . 726 P. Wu, B. Manjunath, H . Shin, University of California, Santa Barbara, USA

TEXTURE SIMILARITY MEASUREMENT USING KULLBACK-LEIBLER DISTANCE .... .I11 . 730 ON WAVELET SUBBANDS M. Do, Swiss Federal Institute of Technology Lausanne, Switzerland, M. Vetterli, University of Califomia, Berkeley, USA and Swiss Federal Institute of Technology Lausanne, Switzerland

IMAGE RETRIEVAL BASED ON EDGE REPRESENTATION ..................................... 111 . 734 M. Abdel-Mottaleb, Philips Research, USA

AREA MORPHOLOGICAL SEGMENTATION FOR CONTENT BASED RETRIEVAL.. ..... .I11 . 738 B. Raghunathan, Oklahoma State University, USA, S. Acton, University of Virginia, USA

TRANSLATION, SCALE, AND ROTATION INVARIANT TEXTURE DESCRIPTOR ....... .I11 . 742 FOR TEXTURE-BASED IMAGE RETRIEVAL D.-G. Sim, H.-K. Kim, D.-I. Oh, Hyundai Electronics Industries, Co., Ltd., South Korea

COMBINE USER DEFINED REGION-OF-INTEREST AND SPATIAL LAYOUT FOR.. ...... I11 . 746 IMAGE RETRIEVAL Q. Tian, Y. Wu, T. Huang, University of Illinois at Urbana-Champaign, USA

INCORPORATE SUPPORT VECTOR MACHINES TO CONTENT-BASED IMAGE.. ........ .I11 . 750 RETRIEVAL WITH RELEVANT FEEDBACK P. Hong, Q. Tian, T. Huang, University of Illinois at Urbana-Champaign, USA

CLASSIFICATION OF TEXTURED AND NON-TEXTURED IMAGES USING REGION.. .. .I11 . 754 SEGMENTATION J. Li, Stanford University and Xerox Palo Alto Research Center, USA, J . Wang, G. Wiederhold, Stanford University, USA

UNSUPERVISED IMAGE OBJECT SEGMENTATION OVER COMPRESSED DOMAIN. ... .I11 . 758 H.-L. Eng, K.-K. Ma, Nanyang Technological University, Singapore

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AN INTEGRATED SEGMENTATION TECHNIQUE FOR INTERACTIVE IMAGE ........... .I11 . 762 RETRIEVAL A. Ramamoorthy, Biomorphic VLSI Inc., USA, S. Ghosal, IBM India Research Labhdian Institute of Technology, India

INFERRING SEMANTIC CONCEPTS FOR VIDEO INDEXING AND RETRIEVAL ......... .I11 . 766 M. Naphade, T. Huang, University of Illinois at Urbana-Champaign, USA

WPOS: IMAGE RESTORATION I1 THE ITERATIVE DECONVOLUTION OF LINEARLY BLURRED IMAGES USING.. ....... .I11 . 770 NON-PARAMETRIC STABILIZING FUNCTIONS J. Hare, J. Reilly, McMaster University, Canada

AN IMAGE RESTORATION METHOD USING IFS ................................................. 111 . 774 M. Haseyama, M. Takezawa, H. Kitajima, Hokkaido University, Japan

A REGION-BASED ALTERNATIVE FOR EDGE-PRESERVING SMOOTHING.. ............. .I11 . 778

SPATIO-FREQUENCY NOISE DISTRIBUTION A PRIORI FOR SATELLITE IMAGE.. .... .I11 . 782

R. Weisenseel, W. Karl, D. CastaAon, Boston University, USA

JOINT DENOISING/DEBLURRING S. Tramini, M. Antonini, M. Barlaud, 13s Laboratory, France, G. Aubert, J.A Dieudonne' Laboratory, France, B. Rouge', C. Latry, CNES, France

BLIND DECONVOLUTION OF IMAGES AND SMALL-EXTENT POINT-SPREAD.. ........ .I11 . 786 FUNCTIONS USING RESULTANT MATRICES A. Yagle, University of Michigan, USA

ANALYSIS OF THE ROBUSTNESS OF ITERATIVE RESTORATION METHODS WITH.. .I11 . 789 RESPECT TO VARIATIONS OF THE POINT SPREAD FUNCTION V. Ferreira, N. Mascarenhas, Federal University of SGo Carlos, Brazil

FINGERPRINT ENHANCEMENT BASED ON THE DIRECTIONAL FILTER BANK.. ....... .I11 . 793 S.-I. Park, M. Smith, Georgia Institute of Technology, USA, J. Lee, Dongseo University, South Korea

A NEW WAVELET-BASED APPROACH TO SHARPENING AND SMOOTHING OF.. ...... .I11 . 797 IMAGES IN BESOV SPACES WITH APPLICATIONS TO DEBLURRING K. Berkner, M. Gormish, E. Schwartz, M. Boliek, Ricoh Silicon Valley, Inc., USA

GENERALIZED WIENER RECONSTRUCTION OF IMAGES FROM COLOUR SENSOR.. .I11 . 801 DATA USING A SCALE INVARIANT PRIOR D. Taubman, University of New South Wales, Australia

THE ADAPTIVE REST CONDITION SPRING SYSTEM: AN EDGE-PRESERVING, ........ .I11 . 805 REGULARIZATION TECHIQUE M. Rivera, J. Marroquin, Centro de Investigacion en Matematicas A. C., Mexico

SATELLITE IMAGE DECONVOLUTION USING COMPLEX WAVELET PACKETS.. ...... .I11 . 809 A. Jalobeanu, L. Blanc-Fe'raud, J. Zerubia, CNRS/INRIA/UNSA, France

A RECURSIVE SOFT-DECISION PSF AND NEURAL NETWORK APPROACH TO.. ....... III . 813 ADAPTIVE BLIND IMAGE REGULARIZATION K.-H. Yap, L. Guan, University of Sydney, Australia

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HYBRID PERCEPTUAL IMAGE PROCESSING USING NEW INTERPOLATING,. .......... .I11 . 817 WAVELETS Z. Shi, H. Wang, D. Zhang, D. Kouri, University of Houston, USA, D. H o f i a n . Iowa State University, U S A

WP09: STILL IMAGE COMPRESSION RATE-COMPLEXITY-DISTORTION OPTIMIZATION FOR QUADTREE-BASED DCT ...... III . 821 CODING K. Lengwehasatit, Packetvideo Corporation, USA, A. Ortega, University of Southem Califomia, USA

REDESIGNING OF JPEG STATISTICAL MODEL I N THE LOSSY MODE FITTING ........ 111 . 825 DISTRIBUTION OF DCT COEFFICIENTS Y. Kuroki, Y. Ueshige, Kagoshima National College of Technology, Japan, T. Ohta, Kyushu Institute of Technology, Japan

THE ORIENTATION ADAPTIVE LAPPED ORTHOGONAL TRANSFORM FOR IMAGE.. . .I11 . 829 CODING T. Tanaka, Y. Yamashita, Tokyo Institute of Technology, Japan

ADAPTIVE THRESHOLDING FOR NOISY MPEG-4 STILL TEXTURE IMAGE .............. 111 . 833

LOW-COMPLEXITY SCALABLE DCT IMAGE COMPRESSION.... ............................. III . 837

OPTIMAL DESIGN OF TRANSFORM CODERS AND QUANTIZERS FOR IMAGE,.. ....... 111 . 841

T. Chan, D. Lun, Hong Kong Polytechnic University, China

R. van der Vleuten, R. Kleihorst, C. Hentschel, Philips Research Laboratories, The Netherlands

CLASSIFICATION S. Jana, P. Moulin, University of Illinois at Urbana-Champaign, USA

LOOKAHEAD SEARCH FOR LOSSY CONTEXT-BASED ADAPTIVE ENTROPY.. ......... .I11 . 845 CODING R. Singh, A. Ortega, University of Southem Califomia, USA

SCALABLE IMAGE CODER MIXING DCT AND TRIANGULAR MESHES.... ................ 111 . 849 L. Demaret, G. Robert, N. Laurent, A. Buisson, France Telecom , France

UNIVERSAL MULTI-SCALE MATCHING PURSUITS ALGORITHM WITH REDUCED.. .I11 . 853 BLOCKING EFFECT M. de Carvalho, Universidade Federal Fluminense, Brazil, E. da Silva, Universidade Federal do Rio de Janeiro, Brazil, W. Finamore, Pontificia Universidade Catolica do Rio de Janeiro, Brazil, D. Lima, Universidade Federal do Rio de Janeiro, Brazil

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IMPROVED COMPRESSION BY COUPLING OF CODING TECHNIQUES AND ............. 111 . 857 REDUNDANT TRANSFORM. A.-M. Poussard, C. Olivier, IRCOM-SIC, France, J. Wu, IRCOM-SIC, France, and Nanchang University, China, C. Chatellier, IRCOM-SIC, France

COMBINED SPATIAL AND SUBBAND BLOCK CODING OF IMAGES ........................ 111 . 861

SUBSPACES OF QUANTIZATION ARTIFACTS FOR IMAGE TRANSFORM ................. 111 . 865

F. Wheeler, W. Pearlman, Rensselaer Polytechnic Institute, USA

COMPRESSION 0. Guleryuz, Polytechnic University, USA

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BLOCKING ARTIFACT FREE INVERSE DISCRETE COSINE TRANSFORM ................ 111 . 869 S. Yang, S. Kittitornkun, Y.-H. Hu, University of Wisconsin-Madison, USA, T. Nguyen, Boston University, USA, D. Tull, University of Wisconsin-Madison, USA

WPlO: FEATURE DETECTION LINE DETECTION IN IMAGES THROUGH REGULARIZED HOUGH TRANSFORM.. ..... .I11 . 873 N. Aggarwal, University of Illinois, USA, W. Karl, Boston University, USA

ON LEARNING OPTIMAL TEXTURE EDGE DETECTORS ....................................... 111 . 877 S. Will, L. Hermes, J. Buhmann, Universitaet Bonn, Germany, J. Puzicha, University of California, Berkeley, USA

MULTI-RESOLUTION CORNER DETECTION ....................................................... 111 . 881 F. Pedersini, E. Pozzoli, A. Sarti, S. Tubaro, Politecnico di Milano, Italy

OPTIMAL SHAPE DETECTION... ...................................................................... 111 . 885 H. Moon, R. Chellappa, A. Rosenfeld, University of Maryland, College Park, USA

INTEGRATED COMPRESSION AND LINEAR FEATURE DETECTION IN THE ............. 111 . 889 WAVELET DOMAIN E. Magli, G. Olmo, Politecnico di Torino, Italy

ADAPTING SCALE BY MINIMISING SPECTRAL DEFOCUSING FOR SHAPE FROM.. .. 111 . 893 TEXTURE E. Ribeiro, E. Hancock, University of York, United Kingdom

COMPUTATIONAL MEASURES CORRESPONDING TO PERCEPTUAL TEXTURAL.. ... .I11 . 897 FEATURES N. Abbadeni, D. Ziou, S. Wang, Universite de Sherbrooke, Canada

ROTATIONALLY INVARIANT TEXTURE FEATURES USING THE DUAL-TREE .......... .I11 . 901 COMPLEX WAVELET TRANSFORM P. Hill, D. Bull, N. Canagarajah, University of Bristol, United Kingdom

ISOTROPIC VERSUS ANISOTROPIC ENCODING OF VISUAL INFORMATION.. ......... .I11 . 905 M. Ferraro, Universith di Torino and INFM, Italy, G. Boccignone, Universitci di Salemo and INFM, Italy, T. Caelli, University of Alberta, Canada

LINE EXTRACTION WITH THE USE OF AN AUTOMATIC GRADIENT THRESHOLD. .... 111 . 909 TECHNIQUE AND THE HOUGH TRANSFORM R. Pires, P. De Smet, 1. Bruyland, Ghent University, Belgium

AN EDGE ENHANCEMENT TECHNIQUE FOR IMAGE SEGMENTATION BASED ON... .. 111 . 913 RESISTIVE CIRCUIT SIMULATION T. Yoshida, K. Hirano, Tokyo Institute of Technology, Japan

LOCAL SPECTRA FEATURES EXTRACTION BASED-ON 2D PSEUDO-WIGNER .......... III . 917 DISTRIBUTION FOR TEXTURE ANALYSIS Z. Huang, K. Chan, Y. Huang, Nanyang Technological University, Singapore

VIDEO-RATE PIPELINE STRAIGHT LINE EXTRACTION ALGORITHM. ..................... III . 921 M. Fesharaki, YMA College, Iran, 0. Sheijani, Qazvin Azad University, Iran

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WP11: VIDEO INDEXING AND EDITING I1 STATISTICAL FEATURE EXTRACTION FROM COMPRESSED VIDEO SEQUENCES.. . .I11 . 925 W. Femando, C. Canagarajah, D. Bull, University of Bristol, United Kingdom

VIDEO DISSOLVE AND WIPE DETECTION VIA SPATIO-TEMPORAL IMAGES OF.. .... .I11 . 929 CHROMATIC HISTOGRAM DIFFERENCES M. Drew, Z.-N. Li, X. Zhong, Simon Fraser University, Canada

A SCENE BOUNDARY DETECTION METHOD.. .................................................... 111 . 933 M. Chung, Korea Telecom, South Korea, H. Kim, Kookmin University, South Korea, S. Song, Korea University, South Korea

A NOVEL APPROACH TO SCENE CHANGE DETECTION USING A CROSS ................ 111 . 937 ENTROPY S. Kim, R.-H. Park, Sogang University, South Korea

TEMPORAL SEGMENTATION OF VIDEO USING FRAME AND HISTOGRAM-SPACE.. . .I11 . 941 R. Joyce, B. Liu, Princeton University, USA

PARTITIONING OF VIDEO OBJECTS INTO TEMPORAL SEGMENTS USING LOCAL.. . .I11 . 945 MOTION INFORMATION B. Erol, F. Kossentini, University of British Columbia, Canada

A UNIFIED APPROACH TO GRADUAL SHOT TRANSITION DETECTION ................... 111 . 949 J. Bescds, J. Menhdez, G. Cisneros, J. Cabrera, J. Martinez, Universidad Politkcnica de Madrid, Spain

EFFICIENT AND EFFECTIVE WIPE DETECTION ON MPEG COMPRESSED VIDEO.. ... .I11 . 953 BASED ON THE MACROBLOCK INFORMATION S.-C. Pei, Y.-Z. Chou, National Taiwan University, Taiwan

LOW COMPLEXITY CUT DETECTION IN THE PRESENCE OF FLICKER ................... 111 . 957 A. Albiol, V. Naranjo, Universidad Politecnica de Valencia, Spain, J. Angulo, Ecole des Mines de Paris, France

IMPROVED FADE AND DISSOLVE DETECTION FOR RELIABLE VIDEO.. ................. 111 . 961 SEGMENTATION B. Truong, Curtin University of Technology, Australia, C. Dorai, IBM T. J. Watson Research Center, USA, S. Venkatesh, Curtin University of Technology, Australia

WP12: POSTPROCESSING AND HALFTONING OPTIMIZING MPEG-4 CODING PERFORMANCE BY TAKING POST-PROCESSING ..... .I11 . 965 INTO ACCOUNT W.-F. Cheung, Y.-H. Chan, Hong Kong Polytechnic University, China

REDUCTION OF BLOCKING ARTIFACTS BY ADAPTIVE DCT COEFFICIENT.. .......... .I11 . 969 ESTIMATION IN BLOCK-BASED VIDEO CODING K. Fukuda, A. Kawanaka, Sophia University, Japan

MODEL-BASED INVERSE HALFTONING WITH DECONVOLUTION R. Neelamani, R. Nowak, R. Baraniuk, Rice University, USA

WAVELET-VAGUELETTE.. .............. .I11 . 973

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FREQUENCY DOMAIN MEASUREMENT OF BLOCKINESS I N MPEG-2 CODED.. ........ .I11 . 977 VIDEO K. Tan, M. Ghanbari, University of Essex, United Kingdom

BLIND MEASUREMENT O F BLOCKING ARTIFACTS IN IMAGES ............................ III . 981 Z. Wang, A. Bovik, B. Evans, University of Texas at Austin, USA

OPTIMUM BINARIZATION OF TECHNICAL DOCUMENT IMAGES... ........................ 111 . 985 J. Sa'nchez Valverde, Ericsson, Spain, R.-R. Grigat, Technical University Hamburg-Harburg, Germany

RESTORATION OF WAVELET-COMPRESSED IMAGES USING ADAPTIVELY, ............ III . 989 MASKING SMOOTHNESS CONSTRAINTS J. Jung, J. Paik, Chung-Ang University, South Korea

LOOK UP TABLE (LUT) METHOD FOR IMAGE HALFTONING ................................. III . 993

A ROW-ORIENTED ERROR DIFFUSION TECHNIQUE FOR DIGITAL HALFTONING ..... 111 . 997

M. Mese, P. Vaidyanathan, Califonia Institute of Technology, USA

Y.-H. Chan, S.-M. Cheung, Hong Kong Polytechnic University, China

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