• DocumentCode
    301252
  • Title

    Adaptive piecewise linear bits estimation model for MPEG based video coding

  • Author

    Cheng, Jia-Bao ; Hang, Hsueh-Ming

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    2
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    551
  • Abstract
    We propose an adaptive piecewise linear bits estimation model whose structure is similar to a tree-structured piecewise linear filter. Each node in the tree is associated with a linear relationship between macroblock bits and activity/stepsize. The parameters in this tree structure are adjusted by a modified LMS algorithm. Computer simulation results indicate that the adaptive bits model is able to precisely estimate the compressed bits regardless how the image contents vary along time. Also, when compared to the table-look-up bits model derived based on cluster analysis, the adaptive piecewise linear bits model has a much lower complexity to achieve about the same high performance
  • Keywords
    adaptive estimation; adaptive filters; code standards; filtering theory; least mean squares methods; parameter estimation; piecewise-linear techniques; telecommunication standards; trees (mathematics); video coding; MPEG based video coding; activity/stepsize; adaptive piecewise linear bits estimation model; cluster analysis; complexity; computer simulation results; image contents; macroblock bits; modified LMS algorithm; node; parameters; table-look-up bits model; tree-structured piecewise linear filter; Bit rate; Clustering algorithms; Image coding; Least squares approximation; Mathematical model; Piecewise linear techniques; Quantization; Tree data structures; Video coding; Video compression;
  • 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.1995.537538
  • Filename
    537538