• DocumentCode
    408372
  • Title

    Lossless encoding based on redistribution of statistics

  • Author

    Grigoryan, Artyom M. ; Dursun, Serkan ; Regentova, Emma E.

  • Author_Institution
    Dept. of Electr. Eng., Texas Univ., San Antonio, TX, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    5-7 April 2004
  • Firstpage
    620
  • Abstract
    A new technique for optimally encoding a given source statistical properties of which are described by the first-order model is introduced. The calculation of codeword lengths is based on construction of a new source with statistics that is determined by the consecutive redistribution of the probabilities of symbols in accordance with their original probabilities at each stage of the encoding. The proposed method performs equally well for different orders of symbol probabilities. While codewords are generated by a separate combinatorial procedure, the overall computational cost of the proposed method is lower than that for the Huffman code.
  • Keywords
    Huffman codes; optimisation; source coding; statistical analysis; Huffman code; codeword lengths; optimal encoding; statistical property; statistics redistribution; symbol probability; Computational efficiency; Encoding; Entropy; Image coding; Image databases; Length measurement; Probability; Source coding; Statistics; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
  • Print_ISBN
    0-7695-2108-8
  • Type

    conf

  • DOI
    10.1109/ITCC.2004.1286722
  • Filename
    1286722