• DocumentCode
    2945052
  • Title

    Fast R-D Optimal Packetization of Embedded Bitstreams into Independent Source Packets

  • Author

    Xu, Jiayi ; Dumitrescu, Sorina

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
  • fYear
    2011
  • fDate
    29-31 March 2011
  • Firstpage
    283
  • Lastpage
    292
  • Abstract
    This work addresses the rate-distortion (R-D) optimal packetization (OP) of embedded bitstreams into independent source packets, in order to limit error propagation in transmission over packet lossy channels. The input embedded stream is assumed to be an interleaving of K independently decodable basic streams. To form N independent source packets, each of L symbols, the set of basic streams is partitioned into N groups. The objective of R-D OP is to find the partitioning which minimizes the distortion when all packets are decoded. We present a fast divide and conquer algorithm to find the globally optimal solution, under the assumption that all basic streams have convex R-D curves. The proposed algorithm reduces the running time from O(K2(L + N)) achieved by the existing dynamic programming solution, to O(NKL log K). Experiments on SPIHT coded images show that the speed up is much higher than predicted theoretically, thus rendering the R-D OP feasible in practice.
  • Keywords
    computational complexity; decoding; divide and conquer methods; dynamic programming; image coding; rate distortion theory; SPIHT coded images; dynamic programming; embedded bitstreams; error propagation; fast R-D optimal packetization; fast divide and conquer algorithm; independent source packet decoding; packet lossy channels; rate-distortion optimal packetization; Complexity theory; Decoding; Dynamic programming; Heuristic algorithms; Manganese; Search problems; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2011
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-61284-279-0
  • Type

    conf

  • DOI
    10.1109/DCC.2011.35
  • Filename
    5749486