• DocumentCode
    1071133
  • Title

    Frame-adaptive vector quantization for image sequence coding

  • Author

    Goldberg, Morris ; Sun, Huifang

  • Author_Institution
    Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
  • Volume
    36
  • Issue
    5
  • fYear
    1988
  • fDate
    5/1/1988 12:00:00 AM
  • Firstpage
    629
  • Lastpage
    635
  • Abstract
    An adaptive technique for image sequence coding that is based on vector quantization is described. Each frame in the sequence is first decomposed into a set of vectors. A codebook is generated using the vectors of the first frame as the training sequence, and a label map is created by quantizing the vectors. The vectors of the second frame are then used to generate a new codebook, starting with the first codebook as seeds. The updated codebook is then transmitted. At the same time, the label map is replenished by coding the position and the new values of the labels that have changed from one frame to the other. The process is repeated for subsequent frames. Experimental results for a test sequences demonstrate that the technique can track the changes and maintain a nearly constant distortion over the entire sequence
  • Keywords
    encoding; picture processing; vectors; codebook; frame-adaptive vector quantisation; image sequence coding; label map; test sequences; training sequence; vectors; Bit rate; Block codes; Clustering algorithms; Data compression; Image coding; Image reconstruction; Image sequences; Iterative algorithms; Predictive coding; Statistics; Sun; Testing; Trajectory; Transform coding; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.1481
  • Filename
    1481