DocumentCode
2527776
Title
Quality Measurement Modeling on Scalable Video Applications
Author
Jin, Sung Ho ; Kim, Cheon Seog ; Seo, Dong Jun ; Ro, Yong Man
fYear
2007
fDate
1-3 Oct. 2007
Firstpage
131
Lastpage
134
Abstract
For various mobile applications, measuring the grade of the video quality is needed in order to guarantee the optimal quality of video streaming service. As H.264/AVC scalable video coding (SVC) has been emerged and developed to support full scalability including spatial, temporal, and signal-to-noise ratio (SNR) scalability, each of which shows different visual effect, it is necessary to measure video quality with full scalability. In this paper, we develop a novel video quality metric allowing full scalability through the subjective quality assessment. Experimental results show that the proposed quality metric has high correlation with subjective quality and is useful to determine the video quality of SVC.
Keywords
video coding; video streaming; H.264/AVC scalable video coding; quality measurement modeling; signal-to-noise ratio scalability; spatial scalability; temporal scalability; video quality; video streaming; Bit rate; Digital multimedia broadcasting; Humans; Quality of service; Scalability; Spatial resolution; Static VAr compensators; Streaming media; Video coding; Video compression; QoS; SVC; full scability; video quality metric;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2007. MMSP 2007. IEEE 9th Workshop on
Conference_Location
Crete
Print_ISBN
978-1-4244-1274-7
Type
conf
DOI
10.1109/MMSP.2007.4412835
Filename
4412835
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