• DocumentCode
    952225
  • Title

    A hybrid motion-vector coding scheme based on an estimation of the locality for motion-vector difference

  • Author

    Moon, Yong Ho ; Ki, Dae Wook ; Kim, Jae Ho

  • Author_Institution
    Div. of Digital Media Eng., Pusan Univ. of Foreign Studies, South Korea
  • Volume
    16
  • Issue
    6
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    781
  • Lastpage
    785
  • Abstract
    The bit portion for motion-vector (MV) information becomes significant in very-low bitrate video coding as texture coding has been improved. Especially, the existing methods, such as minimum bitrate prediction (MBP)-based coding, do not work well for slow-moving video sequences, which are popular in video conferencing and videophone applications. It is because the characteristics of the video sequences are not fully exploited for the MV encoding. In this paper, we propose a new hybrid encoding scheme for MV. A new parameter called a skip rate (SR) is defined for estimating the degree of the locality for the MV difference in the proposed scheme. In addition, we suggest a joint coding with a new single codeword combined with the horizontal and vertical codewords. Either the joint coding or the MBP-based coding is determined by the SR. The simulation results show that the proposed scheme enhances the coding performance for various video sequences without additional memory.
  • Keywords
    image motion analysis; image sequences; image texture; video coding; horizontal codewords; hybrid motion-vector coding scheme; minimum bitrate prediction; skip rate; texture coding; vertical codewords; video coding; video sequences; Bit rate; Encoding; Laboratories; Moon; Motion estimation; Statistical distributions; Strontium; Video coding; Video sequences; Videoconference; Locality; median prediction; minimum bitrate prediction (MBP); motion-vector (MV) coding; motion-vector difference (MVD); skip mode;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2006.876361
  • Filename
    1637518