• DocumentCode
    3407104
  • Title

    Perceptual quality of video with quantization variation: A subjective study and analytical modeling

  • Author

    Yen-Fu Ou ; Huiqi Zeng ; Yao Wang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Polytech. Inst. of NYU, Brooklyn, OH, USA
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    1505
  • Lastpage
    1508
  • Abstract
    This work investigates the impact of temporal variation of quantization stepsize (QS) on perceptual video quality. Among many dimensions of QS variation, as a first step we focus on videos in which two QS´s, alternate over fixed intervals. We present subjective test results, and analyze the influence of several factors (including the QS difference, QS ratio, changing intervals, and video content). According the observation and data analysis, we propose analytical models that relate the perceived quality with the two QS´s. Such quality assessment and modeling are essential in making video adaptation decisions when delivering video over dynamically changing wireless links.
  • Keywords
    decision making; radio links; video coding; video streaming; QS difference; QS ratio; analytical models; changing intervals; quantization stepsize; quantization variation; temporal variation; video adaptation decision making; video content; video perceptual quality; wireless links; Analysis of variance; Bandwidth; Ice; Quality assessment; Spatial resolution; Streaming media; Video recording; perceptual video quality; quality metrics; temporal variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467157
  • Filename
    6467157