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An Efficient Low Bit- Rate Video-coding Algorithm Focusing on Moving Regions Kwok-Wai Wong, Kin-Man Lam, Wan-Chi Siu IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, OCTOBER 2001
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An Efficient Low Bit-Rate Video-coding Algorithm Focusing on Moving Regions

Jan 20, 2016

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An Efficient Low Bit-Rate Video-coding Algorithm Focusing on Moving Regions. Kwok-Wai Wong, Kin-Man Lam, Wan-Chi Siu IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, OCTOBER 2001. Introduction. - PowerPoint PPT Presentation
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Page 1: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

An Efficient Low Bit-Rate Video-coding Algorithm Focusing on Moving Regions

Kwok-Wai Wong, Kin-Man Lam, Wan-Chi Siu

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, OCTOBER 2001

Page 2: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Introduction Conventional block-based coding schemes

do not take into account the arbitrary shape of moving objects.

Eight patterns are pre-defined to approximate the moving regions in a macroblock.

Experimental results show both the prediction efficiency and the compression efficiency are improved.

Page 3: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Low Bit-Rate Video Coding Using Patterns

The eight patterns for moving region approximation

Page 4: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Moving Region Detection

T: thresholding functionB:structuring element of morphological ope

rations, a square pattern of size 3*3

If < threshold,the value of M(x,y) is assumed to be zero. The value of the moving regions is nonzero.

Page 5: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Moving Region Detection Static MBs (SMBs)

the contents of the MB are all zero or the size of moving region is smaller than a threshold.

Active MBs (AMBs) The contents of all the sub-blocks have a nonzer

o value. Active-region MBs (RMBs)

The remaining MBs. One of the eight predefined patterns will be use

d to approximate the moving regions.

Page 6: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Moving Region Detection

Mk : the Kth MB in the processed frame M(x,y)

PN (i,j) : the pre-defined pattern number N

If the computed minimum Dk,N is greater than a threshold,the MB is assumed to be an AMB.

Page 7: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

The rule for classifying the types of MB

Page 8: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

AMB RMB

Page 9: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Architecture of the Encoder and Decoder Type of MB

SMB: encoded as a skipped MB AMB: the conventional block-based

encoding method is used RMB: “Pattern Matching” unit

Pattern Matching To find a pre-defined pattern which is the

best representation of the moving region in a RMB.

Uses 3 bits to represent PMB(pre-defined pattern information), and then encoded by VLC.

Page 10: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Architecture of the Encoder and Decoder Block Rearrangement

If RMB, “Block Rearrangement” unit rearrange the residual errors of the moving regions into a block of size 8*8

“Inverse Rearrangement” unit Motion Estimation

AMB: “Block Predictor” RMB: “Moving region predictor” Uses 1 bit to represent MPMODE(motion

predictor mode), together with the motion vector are encoded by VLC

Page 11: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Encoder

Page 12: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Decoder

Page 13: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Motion Estimation and Compensation

The contents of SMB are copied from the reference frame directly.

The matching process is more precise as the static region is neglected in motion estimation.

Conventional method: 256 “minus” ,255 “sum”, 256 “absolute” operations

New: 64 “minus”, 63 “sum”, 64 “absolute” operations

Page 14: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Detected moving regions

Results of pattern approximation

An example of pattern approximation for the sequence “News”

Page 15: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

The principle of interframe coding for RMB

Page 16: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Prediction Error Encoding AMB: conventional DCT-based coding

method The prediction errors of the moving

region in a RMB are rearranged to a block of size 8*8, and DCT transform is then employed.

Only a block is needed to encode for a RMB,and the compression ratio is increased.

Page 17: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Rearrangement of the residual errors

Page 18: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Simulation Results

Page 19: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

PSNR for the first 100 frames for the video sequence “Akiyo”

Page 20: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Encoding time saved per frame compared to H.263

Page 21: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Simulation results “Akiyo” with different bit-rates

Page 22: An Efficient Low Bit-Rate  Video-coding Algorithm  Focusing on Moving Regions

Conclusion Eight pre-defined patterns were

chosen by experiments to represent moving regions.

This approach outperforms the H.263 in terms of the PSNR and the rum-time for sequences of smooth motion.