• DocumentCode
    3267953
  • Title

    An adaptive quantization-mapping model for MPEG encoders

  • Author

    Zhang, Ning Nick ; Wu, Chwan-Hwa John ; Irwin, J.D.

  • Author_Institution
    Dept. of Electr. Eng., Auburn Univ., AL, USA
  • fYear
    1996
  • fDate
    2-6 Dec 1996
  • Firstpage
    470
  • Lastpage
    474
  • Abstract
    Concerns video compression. We present our work on the adaptive modeling of quantization process at macro block layer of MPEG encoders. A binary tree (B-tree) fuzzy interpolation algorithm for data approximation and online adaptation which adjusts the parameters of MSFs according to domain data have been used to build the model. Our experimental results have shown that the adaptive model has better performance than its nonadaptive counterpart as well as the look-up table method widely used and reported in literature, which suggests that improvements can be well expected if the model is applied to the design of quantization control schemes for MPEG encoders
  • Keywords
    adaptive signal processing; data compression; fuzzy set theory; interpolation; quantisation (signal); trees (mathematics); video coding; B-tree fuzzy interpolation algorithm; MPEG encoders; adaptive model; adaptive quantization-mapping model; binary tree fuzzy interpolation algorithm; data approximation; look-up table method; macro block layer; online adaptation; quantization control schemes; quantization process; video compression; Bit rate; Context modeling; Discrete cosine transforms; Encoding; Interpolation; Quantization; Transform coding; Video compression; Video on demand; Videoconference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-3104-4
  • Type

    conf

  • DOI
    10.1109/ICIT.1996.601633
  • Filename
    601633