• DocumentCode
    294840
  • Title

    Codebook adaptation algorithm for a scene adaptive video coder

  • Author

    Wang, Dongmei ; Hartung, John

  • Author_Institution
    Signal Process. Res. Dept., AT&T Bell Labs., Murray Hill, NJ, USA
  • Volume
    4
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    2591
  • Abstract
    Proposes a codebook adaptation algorithm for very low bit rate, real-time video coding. Although adaptive codebook design has been studied in the past, its implementation at very low coding rates suitable for the MPEG4 standard remains significantly challenging. The coder uses a standard motion compensated predictor with DCT quantization. It is unique in that it uses a hybrid scalar/vector quantizer to code predictor residuals. Bits are dynamically allocated to minimize distortion in the current frame, and scalar quantized blocks are used to adapt the VQ codebook. A codebook adaptation algorithm is described which uses an “equidistortion principle” and a competitive learning algorithm to continuously adapt the codewords. This training algorithm results in an increased use of the more efficient vector quantizer and improved video quality
  • Keywords
    adaptive codes; discrete cosine transforms; minimisation; motion compensation; prediction theory; telecommunication standards; unsupervised learning; vector quantisation; video coding; DCT quantization; MPEG4 standard; VQ codebook; codebook adaptation algorithm; competitive learning algorithm; distortion; equidistortion principle; hybrid scalar/vector quantizer; motion compensated predictor; predictor residual; real-time video coding; scalar quantized blocks; scene adaptive video coder; training algorithm; very low bit rate; video quality; Bit rate; Books; Code standards; Discrete cosine transforms; Iterative algorithms; Layout; MPEG 4 Standard; Quantization; Signal processing algorithms; Statistics; Video coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.480079
  • Filename
    480079