• DocumentCode
    329489
  • Title

    Optimal shape coding under buffer constraints

  • Author

    Lee, Jae-Beom ; Cho, Jin-Soo ; Eleftheriadis, Alexandros

  • Author_Institution
    Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    4-7 Oct 1998
  • Firstpage
    290
  • Abstract
    In this paper, we derive an optimal rate control algorithm for shape coding as defined in the forthcoming MPEG-4 international standard. The current MPEG-4 shape coding scheme consists of two steps: first, distortion is introduced by down and up scaling; then, context-based arithmetic encoding is applied. Since arithmetic coding is “lossless”, the down up scaling step is considered as a virtual quantizer. We first formulate the buffer-constrained adaptive quantization problem for shape coding, and then propose an algorithm for the optimal solution under buffer constraints. Experimental results are given using an MPEG-4 shape codec
  • Keywords
    arithmetic codes; buffer storage; code standards; data compression; image coding; image sequences; optimisation; quantisation (signal); telecommunication standards; MPEG-4 international standard; MPEG-4 shape codec; buffer constraints; buffer-constrained adaptive quantization; context-based arithmetic encoding; distortion; down scaling; experimental results; fast approximation algorithm; image sequence; lossless coding; optimal buffered compression; optimal rate control algorithm; optimal shape coding; up scaling; virtual quantizer; Arithmetic; Codecs; Cost function; Distortion measurement; Linear programming; MPEG 4 Standard; Optimal control; Quantization; Rate distortion theory; Shape control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.723475
  • Filename
    723475