• DocumentCode
    1950697
  • Title

    Online compression of video sequences using adaptive VQ codebooks

  • Author

    Wang, Xiaomei ; Shende, Sunil M. ; Sayood, Khalid

  • Author_Institution
    Nebraska Univ., Lincoln, NE, USA
  • fYear
    1994
  • fDate
    29-31 Mar 1994
  • Firstpage
    185
  • Lastpage
    194
  • Abstract
    Proposes a novel approach that combines the space covering property of high rate lattice VQ with the pattern matching ability of clustering VQ. The proposed scheme encompasses a broad range of online algorithms that use suitable VQ encodings and fixed-size, adaptive codebooks. The generic baseline algorithm for the scheme has the following desirable characteristics: the distortion per individual vector is guaranteed to be less than a user specified threshold. Secondly, the algorithm is amenable to fast realtime implementation and requires minimal statistical assumptions for analysis. Finally, with careful analysis, the coding rate can be bounded with respect to some theoretical benchmark
  • Keywords
    data compression; image coding; image sequences; vector quantisation; video signals; VQ encodings; adaptive VQ codebooks; coding rate; distortion per individual vector; fixed-size adaptive codebooks; generic baseline algorithm; online algorithms; online compression; pattern matching ability; realtime implementation; space covering properties; statistical assumptions; video sequences; Algorithm design and analysis; Bandwidth; Clustering algorithms; Image coding; Lattices; Pattern matching; Performance analysis; Statistics; Vector quantization; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1994. DCC '94. Proceedings
  • Conference_Location
    Snowbird, UT
  • Print_ISBN
    0-8186-5637-9
  • Type

    conf

  • DOI
    10.1109/DCC.1994.305926
  • Filename
    305926