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
Link To Document :
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