• DocumentCode
    2029672
  • Title

    Efficient quadtree coding of images and video

  • Author

    Sullivan, Gary J. ; Baker, Richard L.

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    2661
  • Abstract
    The authors describe the theory needed to construct quadtree data structures which optimally allocate rate, given a set of quantizers. A Lagrange multiplier method finds these optimal rate allocations with no monotonicity restrictions. The theory is used to derive a new quadtree construction method which uses a stepwise search to find the overall optimal quadtree structure. The search can be driven with either actual measured quantizer performance or ensemble average predicted performance. This theory is then applied to the design of an interframe hybrid video coding system using a quadtree with vector quantization
  • Keywords
    data compression; encoding; picture processing; trees (mathematics); video signals; Lagrange multiplier method; ensemble average predicted performance; interframe hybrid video coding system; measured quantizer performance; optimal rate allocations; quadtree coding; quadtree data structures; stepwise search; vector quantization; video coding; Costs; Data structures; Distortion measurement; Image analysis; Image coding; Image segmentation; Image storage; Lagrangian functions; Vector quantization; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150949
  • Filename
    150949