• DocumentCode
    2718652
  • Title

    PPM Revisited with New Idea on Escape Probability Estimation

  • Author

    Sayyed, Azaruddin ; Agarwal, Suneeta

  • Author_Institution
    MNNIT, Allahabad
  • Volume
    4
  • fYear
    2007
  • fDate
    13-15 Dec. 2007
  • Firstpage
    152
  • Lastpage
    156
  • Abstract
    A variant of prediction by partial matching scheme with a modification of escape probability estimation is presented here. This paper gives a new method for bounded length context models with static estimation of escape probability. The experimental results have shown that the proposed technique performs better with a compression rate of 2.35 b/Character among all the bounded length PPM compression schemes. It is also observed that this method shows better results on files having binary data rather than character data.
  • Keywords
    data compression; image coding; probability; PPM; bounded length context models; character data; compression rate; compression schemes; escape probability estimation; partial matching scheme; static estimation; Application software; Arithmetic; Compression algorithms; Computational intelligence; Computer science; Context modeling; Data compression; Encoding; Predictive models; Probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
  • Conference_Location
    Sivakasi, Tamil Nadu
  • Print_ISBN
    0-7695-3050-8
  • Type

    conf

  • DOI
    10.1109/ICCIMA.2007.262
  • Filename
    4426469