• 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