• DocumentCode
    1492064
  • Title

    Wyner-Ziv to H.264 video transcoder for low cost video encoding

  • Author

    Martínez, J.L. ; Fernández-Escribano, G. ; Kalva, H. ; Fernando, W.A.C. ; Cuenca, P.

  • Author_Institution
    I3A, Albacete, Spain
  • Volume
    55
  • Issue
    3
  • fYear
    2009
  • fDate
    8/1/2009 12:00:00 AM
  • Firstpage
    1453
  • Lastpage
    1461
  • Abstract
    This paper proposes a Wyner-Ziv/H.264 transcoder that enables low cost video applications. The proposed solution supports video encoding on resource constrained devices such as disposable video cameras, network camcorders and low cost video encoders. This approach is based on reducing encoding resource requirements on a device by using Wyner-Ziv video encoding. The system shifts the burden of complexity away from the encoder, for example to a network node, where a transcoder efficiently converts WZ encoded video to H.264 by reusing the information from the WZ decoding stage. The transcoded H.264 video is requires fewer resources than WZ decoding and therefore reduces the complexity of decoding. The complexity of encoding and playback ends of video applications is thus reduced enabling new class of consumer application. The paper is focused on reducing the complexity of the macro-block mode coding decision process carried out in H.264 encoding stage of the transcoder. Based on a data mining process, the approach replaces the high complexity H.264 mode decision algorithm by a faster decision tree. The proposed architecture reduces the battery consumption of the end-user devices and the transcoding time is reduced by 86% with negligible rate-distortion loss.
  • Keywords
    block codes; computational complexity; data mining; decision trees; decoding; video coding; H.264 video transcoder; Wyner-Ziv code; battery consumption; computational complexity; data mining; decision tree; decoding; disposable video camera; end-user device; low cost video encoding; macroblock mode coding decision process; network camcorder; resource constrained device; Batteries; Cameras; Costs; Data mining; Decision trees; Decoding; Encoding; Rate-distortion; Transcoding; Video equipment; Disposable video camera; H.264; Low Cost Video Encoding; Transcoding; Wyner-Ziv;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/TCE.2009.5278013
  • Filename
    5278013