• DocumentCode
    2929229
  • Title

    Partition-level adaptive interpolation filter for video coding

  • Author

    Wang, Ronggang ; Zhang, Yongbing ; Dong, Yuan ; Wang, Haila

  • Author_Institution
    France Telecom R&D Beijing Co., Ltd., Beijing, China
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    157
  • Lastpage
    160
  • Abstract
    A partition-level adaptive sub-pixel interpolation filter method for video coding is proposed in this paper. Various type of interpolation filters are exploited to compensate the limited motion accuracy represented by motion vector or improve interpolation performance of directional textures inconsistent with motion direction, an optimal filter is selected as sub-pixel interpolation filter for each macroblock partition by the principle of rate distortion optimization. The method is implemented in AVS reference software, experimental results show that by utilizing this method, the compression performance is improved up to 0.5 dB, and the decoding complexity of motion compensation is decreased up to 20%.
  • Keywords
    adaptive filters; image texture; interpolation; motion compensation; optimisation; rate distortion theory; video coding; AVS reference software; decoding complexity; directional textures; motion compensation; motion vector; optimal filter; partition-level adaptive interpolation filter; rate distortion optimization; video coding; Adaptive filters; Decoding; Filtering; Interpolation; Motion compensation; Rate-distortion; Research and development; Telecommunications; Video coding; Video sequences; adaptive interpolation filter; low decoding complexity; motion compensation; video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-4290-4
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2009.5202460
  • Filename
    5202460