• DocumentCode
    355817
  • Title

    Minimum conditional entropy context quantization

  • Author

    Wu, Xiaolin ; Chou, Philip A. ; Xue, Xiaohui

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont., Canada
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    43
  • Abstract
    We consider the problem of finding the quantizer Q that quantizes the K-dimensional causal context Ci=(Xi-t(i),Xi-t(2),...,Xi-t(K) ) of a source symbol Xi into one of M conditioning states such that the conditional entropy H(Xi|Q(Ci)) is minimized. The resulting minimum conditional entropy context quantizer can be used for sequential coding of the sequence X0, X1, X2,
  • Keywords
    entropy codes; minimisation; sequential codes; source coding; K-dimensional causal context; conditioning states; minimum conditional entropy context quantization; sequence; sequential coding; source symbol; Compression algorithms; Computer science; Context modeling; Entropy; Quantization; Random sequences; Random variables; Source coding; State estimation; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2000. Proceedings. IEEE International Symposium on
  • Conference_Location
    Sorrento
  • Print_ISBN
    0-7803-5857-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2000.866333
  • Filename
    866333
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=355817