• DocumentCode
    442705
  • Title

    A motion compensation technique using sliced blocks in hybrid video coding

  • Author

    Kondo, Satoshi ; Sasai, Hisao

  • Author_Institution
    Matsushita Electr. Ind. Co. Ltd., Osaka, Japan
  • Volume
    2
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    This paper proposes a new motion compensation method using "sliced blocks" in hybrid video coding. In H.264, a brand-new international video coding standard, motion compensation can be performed by splitting macroblocks into multiple square or rectangular regions. In the proposed method, on the other hand, macroblocks or sub-macroblocks are divided into two regions (sliced blocks) by an arbitrary line segment. The result is that the shapes of the segmented regions are not limited to squares or rectangles, allowing the shapes of the segmented regions to better match the boundaries between moving objects. Thus, the proposed method can improve the performance of the motion compensation. In addition, adaptive prediction of the shape according to the region shape of the surrounding macroblocks can reduce overheads to describe shape information in the bitstream. The proposed method also has the advantage that conventional coding techniques such as mode decision using rate-distortion optimization can be utilized, since coding processes such as frequency transform and quantization are performed on a macroblock basis, similar to the conventional coding methods. The proposed method is implemented in an H.264-based P-picture codec and an improvement in bit rate of 5% is confirmed in comparison with H.264.
  • Keywords
    code standards; image segmentation; motion compensation; video codecs; video coding; H.264-based P-picture codec; adaptive prediction; arbitrary line segment; hybrid video coding; international video coding standard; motion compensation technique; sliced blocks; Bit rate; Codecs; Frequency; MPEG 4 Standard; Motion compensation; Optimization methods; Quantization; Rate-distortion; Shape; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530052
  • Filename
    1530052