Quality Measurement Modeling on Scalable Video Applications
Sung Ho Jin, Cheon Seog Kim, Dong Jun Seo, Yong Man Ro · 2007
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.