• DocumentCode
    422906
  • Title

    Multiple-description vector quantization using translated lattices with local optimization [joint source/channel coding]

  • Author

    Zhao, David Y. ; Kleijn, W.B.

  • Author_Institution
    R. Inst. of Technol., Stockholm, Sweden
  • Volume
    1
  • fYear
    2004
  • fDate
    29 Nov.-3 Dec. 2004
  • Firstpage
    41
  • Abstract
    Multiple-description coding is a joint source- and channel coding technique suitable for real-time multimedia transmission over erasure channels. This work improves the previous methods of multiple-description vector quantization using lattice structured codebooks by introducing translated lattices in the single-description codebooks. The quantizer can easily adapt to the current channel conditions, using the locally optimized combined-description codebooks, assuming that channel statistics are available at the encoder. Compared to previous methods, the central distortion is greatly reduced for noisy channels, without a significant effect on complexity.
  • Keywords
    combined source-channel coding; multimedia communication; optimisation; vector quantisation; central distortion reduction; encoder channel statistics; erasure channels; joint source/channel coding; lattice structured codebooks; local optimization; locally optimized codebooks; multiple-description coding; multiple-description vector quantization; noisy channels; real-time multimedia transmission; single-description codebook translated lattices; Channel coding; Decoding; Lattices; Multimedia systems; Noise reduction; Packet switching; Real time systems; Sensor systems; Statistics; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
  • Print_ISBN
    0-7803-8794-5
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2004.1377909
  • Filename
    1377909