• DocumentCode
    3383529
  • Title

    Universal multiple description scalar quantization: analysis and design

  • Author

    Tian, Chao ; Hemami, Sheila S.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    2003
  • fDate
    25-27 March 2003
  • Firstpage
    183
  • Lastpage
    192
  • Abstract
    A new high-rate analysis of the entropy-constrained multiple description scalar quantizer (ECMDSQ) is introduced. The analysis provides insight into the structure of the ECMDSQ, suggesting the non-optimality of uniform central quantizer cells with finite diagonals in the index assignment matrix, as well as a method to approximate optimal cell sizes. Based on these insights, a universal multiple description scalar quantizer (UMDSQ) is proposed which can achieve nearly the same performance as the fully optimized ECMDSQ, at much lower design complexity. The design requires selection of only two parameters, and the resulting UMDSQ can provide a continuum of trade-off points between the central and side distortions as the two parameters are varied.
  • Keywords
    entropy codes; ECMDSQ; UMDSQ; central distortion integral; central quantizer cells; entropy-constrained multiple description scalar quantizer; index assignment matrix; optimal intercell length; rate integral; side distortion integral; two-stage MDSQ; universal multiple description scalar quantization; Chaos; Data compression; Design engineering; Design optimization; Distortion measurement; Entropy; Performance analysis; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2003. Proceedings. DCC 2003
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-1896-6
  • Type

    conf

  • DOI
    10.1109/DCC.2003.1194009
  • Filename
    1194009