• DocumentCode
    3016624
  • Title

    Optimal bit allocations for lossless video coders: motion vectors vs. difference frames

  • Author

    Ribas-Corbera, Jordi ; Neuhoff, David L.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    180
  • Abstract
    We present a simple frame-adaptative procedure for minimizing the total rate in classical block based, motion-compensated lossless video coders. Our method can be applied to compress digital video for applications where no distortion is tolerated in the original video data. In motion-compensated video coding, motion vectors are used to improve the prediction of the current frame to be coded and must themselves be encoded with bits. We find an expression for the total rate of the current frame as a function of the number of bits allocated to the motion vectors. Then, we analytically derive the optimal motion bit allocations that minimize the total rate. We implement the video coder and present results on real video sequences, and discuss the potential applications of this work to the more interesting case of lossy video coding
  • Keywords
    image sequences; motion compensation; motion estimation; prediction theory; video coding; block based motion-compensated coders; difference frames; digital video compression; frame adaptative procedure; frame prediction; lossless video coders; lossy video coding; motion compensated video coding; motion vectors; optimal bit allocations; optimal motion bit allocations; video data; video sequences; Biomedical imaging; Bit rate; Encoding; Government; Investments; Motion analysis; Performance analysis; Video coding; Video compression; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537610
  • Filename
    537610