• DocumentCode
    600165
  • Title

    Coding-residual-based motion vector recovery algorithm

  • Author

    Ting-Lan Lin ; Wen-Chih Chen ; Hsin-Chin Lee ; Neng-Chieh Yang

  • Author_Institution
    Dept. of Electron. Eng., Chung Yuan Christian Univ., Chungli, Taiwan
  • fYear
    2012
  • fDate
    4-7 Nov. 2012
  • Firstpage
    349
  • Lastpage
    354
  • Abstract
    Recently video communication has been massively adopted in internet transmission, and H.264/AVC is the major standard for the compressed video stream. To overcome channel errors resulted from the unstable connection quality of internet, many methods have been proposed for error concealment. Motion vector (MV) recovery is one of the most commonly used methods. We proposed a novel MV recovery method that utilizes the encoding residual information in the neighborhood of the lost MBs, to enhance the performance of MV extrapolation (MVE) and better conceal errors. In our proposed method, better MVs could be found after interpolation with inverse residual weighting. Experimental results show that compared to the state-of-the-art error concealment algorithm, our algorithm provides better performance subjectively and objectively.
  • Keywords
    extrapolation; multimedia communication; video coding; video streaming; H.264/AVC; Internet; MV extrapolation; coding-residual-based motion vector recovery algorithm; video communication; video stream compression; Artificial intelligence; Encoding; Extrapolation; PSNR; Signal processing algorithms; Vectors; Video coding; Error concealment; H.264/AVC; encoding residual; error-resilient video transmission; motion vector recovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications Systems (ISPACS), 2012 International Symposium on
  • Conference_Location
    New Taipei
  • Print_ISBN
    978-1-4673-5083-9
  • Electronic_ISBN
    978-1-4673-5081-5
  • Type

    conf

  • DOI
    10.1109/ISPACS.2012.6473509
  • Filename
    6473509