• DocumentCode
    626562
  • Title

    Rate-distortion optimization with adaptive weighted distortion in high Efficiency Video Coding

  • Author

    Bin Li ; Jizheng Xu ; Houqiang Li

  • Author_Institution
    Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2013
  • fDate
    19-23 May 2013
  • Firstpage
    481
  • Lastpage
    484
  • Abstract
    This paper presents an adaptive weighted distortion optimization algorithm used in the Rate-Distortion Optimization (RDO) process of the High Efficiency Video Coding (HEVC). RDO is an important tool to improve the coding efficiency. Usually the distortion weights of different color components are equal or predetermined. In this paper, an adaptive weighted distortion optimization algorithm is introduced to improve the coding efficiency. The distortion weight is estimated according to the previous coded pictures belonging to the same temporal level, such that encoding complexity is almost unchanged. With the proposed adaptive weighted distortion optimization method, on average about 3.3% and up to 10.6% bit-saving are obtained based on the latest HEVC reference software, HM-8.0 and the corresponding common test conditions. The proposed algorithm can also be applied to other coding schemes such as H.264/MPEG-4 AVC.
  • Keywords
    distortion; image colour analysis; video coding; H.264/MPEG-4 AVC; HEVC reference software; HM-8.0; RDO process; adaptive weighted distortion optimization algorithm; adaptive weighted distortion optimization method; coding efficiency; coding schemes; color components; distortion weight; encoding complexity; high efficiency video coding; rate-distortion optimization; Algorithm design and analysis; Color; Encoding; Optimization; PSNR; Transform coding; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
  • Conference_Location
    Beijing
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-5760-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2013.6571885
  • Filename
    6571885