• DocumentCode
    1798901
  • Title

    Predicting zero coefficients for High Efficiency Video Coding

  • Author

    Hanli Wang ; Han Du ; Jun Wu

  • Author_Institution
    Key Lab. of Embedded Syst. & Service Comput., Tongji Univ., Shanghai, China
  • fYear
    2014
  • fDate
    14-18 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Similar to previous video coding standards, transform and quantization are used in the most recent video coding standard High Efficiency Video Coding (HEVC) and a large number of transform coefficients are quantized to zeros. In order to reduce the computations involved in transform and quantization in HEVC, a prediction approach based on Gaussian model is proposed to predict zero quantized transform coefficients within the 4 × 4, 8 × 8, 16 × 16 and 32 × 32 blocks. Extensive experiments demonstrate that the proposed algorithm is able to effectively predict zero coefficients and thus reduce redundant computations while keeping the video quality and compression efficiency almost intact.
  • Keywords
    Gaussian processes; video coding; Gaussian model; compression efficiency; high efficiency video coding; video quality; zero coefficient prediction; Computational modeling; Encoding; Predictive models; Quantization (signal); Transforms; Video coding; Video sequences; Gaussian model; High efficiency video coding; quantization; transform; zero coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2014 IEEE International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/ICME.2014.6890199
  • Filename
    6890199