報告人:張景舜 作者: Gardlo, B. ; Ries, M. ; Rupp, M. ; Jarina, R. ; Dept. of Telecommun. & Multimedia, Univ. of Zilina, Zilina, Slovakia QoE Evaluation Methodology.
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Slide 1
Gardlo, B. Ries, M. ; Rupp, M. ; Jarina, R. Dept. of
Telecommun. & Multimedia, Univ. of Zilina, Zilina, Slovakia QoE
Evaluation Methodology for HD Video Streaming using Social
Networking
Slide 2
I. INTRODUCTION Quality-of-Experience (QoE) and Social networks
has gained strong interest, both from a research and a commercial
perspective. Assessment methodologies are extremely time consuming
and poorly re ect real world scenarios.
Slide 3
II. USER BASED ASSESSMENT Relationship between user,
application and network. Absolute Category Rating (ACR)
Slide 4
II. USER BASED ASSESSMENT In uence factors of quality of
experience(QoE)
Slide 5
III. CONTEXT INFLUENCE AND QOE Modern social networks rely not
just on the messaging concept 46% of them are under 25 years old
and another 26% is under 35 years.
Slide 6
III. CONTEXT INFLUENCE AND QOE A. Audiovisual content SPATIAL
AND TEMPORAL CHARACTERISTICS OF CONTENT CLASSES B. Social and
Cultural Aspects
Slide 7
IV. TECHNICAL SYSTEM A. Encoder settings Audio content was
encoded using an AAC codec with 48 kHz sampling rate and 96 kbit/s
bit rate. Each of these sequences was further encoded into ve
equally distanced video bit rates, 2 Mbit/s for the best quality,
and 800 kbit/s for the lowest quality (300 kbit/s step size).
Slide 8
IV. TECHNICAL SYSTEM B. End User Devices Targeting our QoE
assessment application on the HD multimedia content, we cannot
guarantee that this content will be also watched on native HD
capable screens. About 50% of the users use resolutions of
1024x768, 1280x800 or similar.
Slide 9
V. QOE ASSESSMENT A. Statistical relevance of obtained
subjective evaluations
Slide 10
V. QOE ASSESSMENT s : sample variance d : accuracy parameter
(allowed error in estimation) x^: sample mean : true population
mean n : minimum sample size
Slide 11
V. QOE ASSESSMENT B. Assessment results Action movie 800 kbit/s
MOS Histogram. Action movie 2000kbit/s MOS Histogram.
Slide 12
V. QOE ASSESSMENT MOS values with their 95% con dence
intervals.
Slide 13
VI. CONCLUSION The methodology provides a high applicability
for subjective testing of the multimedia services with respect to
real usage scenarios. With the social data available throughout the
social network, we can target certain speci c user groups, with no
need of performing exhausting social studies. All these facts
support the high statistical signi cance of the results.