• DocumentCode
    464854
  • Title

    Iterative Joint Source-Channel Decoding of H.264 Compressed Video

  • Author

    Levine, David ; Lynch, William E. ; Le-Ngoc, Tho

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que.
  • fYear
    2007
  • fDate
    27-30 May 2007
  • Firstpage
    1517
  • Lastpage
    1520
  • Abstract
    This paper proposes an iterative joint source-channel decoding (IJSCD) scheme for the transmission of H.264 compressed video over a noisy channel. It uses channel coding along with H.264 semantic verification. The structure, selection of design parameters, and performance of the proposed IJSCD based on a rate-% recursive systematic convolutional (RSC) code over an AWGN channel are described and discussed as an illustrative example. In the example, for the same PSNR, the proposed IJSCD scheme offers a significant saving of 2.1dB in required channel SNR as compared to a system using the same RSC code alone. Furthermore, the performance can be improved by iterative decoding at the cost of increased delay. Hence, a tradeoff can be made between performance improvement and delay
  • Keywords
    AWGN channels; channel coding; convolutional codes; iterative decoding; video coding; AWGN channel; H.264 compressed video; H.264 semantic verification; channel coding; compressed video transmission; iterative decoding; iterative joint source-channel decoding; noisy channel; recursive systematic convolutional code; AWGN channels; Additive white noise; Channel coding; Convolutional codes; Costs; Delay; Gaussian noise; Iterative decoding; PSNR; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    1-4244-0920-9
  • Electronic_ISBN
    1-4244-0921-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2007.378699
  • Filename
    4252939