• DocumentCode
    3349730
  • Title

    Distortion optimized multiple channel image transmission under delay constraints

  • Author

    Xu, Wen ; Hemami, Sheila S.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    5
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    When multiple channels are aggregated into a higher bandwidth logical channel, strategic product codes can be used to protect data against both channel losses and failures. Previous work in (W. Xu et al., Proc. ICME, vol.1, p.285-288, 2003) has considered a delay-optimal partitioning scheme given pre-determined error correction codes (ECCs). In order to achieve an improved distortion performance, image bit streams can be partitioned together with an appropriate selection of ECCs based on channel conditions. This paper addresses the problem of jointly partitioning image data over multiple channels and selecting product coding rates from a finite set to minimize the decoding distortion under delay constraints. Experimental results show that the image quality degrades very slightly when the delay constraint decreases over a wide range, with a gain up to 4.5 dB achieved over that using a sequential optimization method.
  • Keywords
    error correction codes; image coding; product codes; visual communication; ECC; channel failures; channel losses; decoding distortion minimization; delay constraints; delay-sensitive images; distortion optimized image transmission; error correction codes; high bandwidth logical channel; image bit stream partitioning; image quality; multiple channel image transmission; multiple parallel channels; product coding rates; strategic product codes; Bandwidth; Constraint optimization; Decoding; Delay; Error correction codes; Image coding; Image communication; Product codes; Protection; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1327281
  • Filename
    1327281