• DocumentCode
    293596
  • Title

    Constrained gradient descent algorithm for residual vector quantizer design

  • Author

    Venkatraman, Mahesh ; Nasrabadi, Nasser M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    124
  • Abstract
    Residual vector quantizers have been proposed to overcome the search complexity of regular single stage vector quantizers. We present a design algorithm for residual vector quantizer codebooks. An attempt is made to make full use of the sequential search nature of the encoding process. An error energy is formulated based on the distortion criterion with a constraint imposed to optimize for the sequential search. The codebook design is formulated as multidimensional minimization problem, where the error energy is minimized to obtain the required codebooks. The proposed algorithm is based on the gradient descent algorithm
  • Keywords
    image coding; minimisation; search problems; vector quantisation; codebook design; constrained gradient descent algorithm; design algorithm; distortion criterion; encoding; error energy; image compression; multidimensional minimization problem; residual vector quantizer codebooks; residual vector quantizer design; search complexity; sequential search; Algorithm design and analysis; Bit rate; Constraint optimization; Design methodology; Encoding; Image coding; Multidimensional systems; Partitioning algorithms; Table lookup; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413288
  • Filename
    413288