• DocumentCode
    2258500
  • Title

    Prioritized reference decision for efficient motion vector coding

  • Author

    Zhou, Dajiang ; Zhou, Jinjia ; Goto, Satoshi

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • fYear
    2009
  • fDate
    24-27 May 2009
  • Firstpage
    1649
  • Lastpage
    1652
  • Abstract
    In the latest video coding frameworks, efficiency of motion vector (MV) coding is becoming increasingly important because of the growing bit rate portion of motion information. In this paper, we present a prioritized reference decision scheme for MV coding based on the H.264/AVC framework. This scheme makes use of a boolean indicator coded into the modified code words of mb_type and sub_mb_type, so as to designate whether the conventional median prediction or an alternative reference decision method is to be used. If the latter is indicated, a validation function is applied to a prioritized list of neighboring MVs, so that the minimum-cost MV difference (MVD) is likely to be generated using multiple reference MVs, with no extra overhead. Experimental result shows the proposed scheme achieves considerable bit rate reduction on MVDs, when compared with the conventional median prediction method. It also achieves a better and much stabler performance than the state-of-the-art MBP-based MV coding. Meanwhile, the harmful feedback issue of MBP is prevented in the proposed scheme.
  • Keywords
    image motion analysis; video coding; H.264-AVC framework; alternative reference decision method; boolean indicator; conventional median prediction method; motion vector coding; motion vector difference; video coding; Automatic voltage control; Bit rate; Costs; Decoding; Entropy; Feedback; Performance loss; Prediction methods; Production systems; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-3827-3
  • Electronic_ISBN
    978-1-4244-3828-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2009.5118089
  • Filename
    5118089