• DocumentCode
    1749568
  • Title

    A Lagrangian formulation of high rate quantization

  • Author

    Shih, Joyce ; Aiyer, Anuradha K. ; Gray, Robert M.

  • Author_Institution
    Dept. of Electr. Eng., Inf. Syst. Lab., Stanford, CA, USA
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2629
  • Abstract
    The asymptotic optimal performance of variable-rate vector quantizers of fixed dimension and large rate was first developed in a rigorous fashion by Paul Zador (1966). Subsequent design algorithms for such compression codes used a Lagrangian formulation in order to generalize Lloyd´s classic quantizer optimization algorithm to variable rate codes. This formulation has been subsequently adopted in a variety of practical systems including rate-optimized streaming video. We describe a Lagrangian formulation of Zador´s variable-rate quantization results and apply it to estimate Zador´s constant using the generalized Lloyd algorithm
  • Keywords
    optimisation; vector quantisation; video coding; Lagrangian formulation; VQ; Zador´s constant; compression codes; design algorithms; entropy; generalized Lloyd´s quantizer optimization algorithm; high rate quantization; rate-optimized streaming video; variable rate codes; variable-rate vector quantizers; Algorithm design and analysis; Decoding; Delay; Design optimization; Distortion measurement; Entropy; Information systems; Laboratories; Lagrangian functions; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940541
  • Filename
    940541