• DocumentCode
    3406564
  • Title

    Scalable H.264 wireless video transmission using quasi-orthogonal space-time block codes

  • Author

    Jubran, Mohammad K. ; Bansal, Manu ; Kondi, Lisimachos P.

  • Author_Institution
    Dept. of Electr. Eng., Birzeit Univ., Birzeit
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    705
  • Lastpage
    708
  • Abstract
    We propose a low-delay low-complexity end-to-end video transmission system that integrates the latest scalable H.264 codec and the full-rate full-diversity quasi-orthogonal space-time block codes. At the encoder of the scalable H.264 codec, we have developed a low-delay low-complexity method for the estimation of the video distortion at the receiver for given channel conditions. The distortion estimation algorithm is validated using experimental results. In this work, we show clearly the advantage of using the quasi-orthogonal space-time block codes (STBC), which provide a higher rate compared to the orthogonal space-time block codes in a wireless video transmission system. This is in spite of the use of a non-optimal signal constellation structure. The performance results are obtained after addressing the bandwidth allocation problem that employs the scalable decoder distortion estimation algorithm for the optimal selection of the application layer and physical layer parameters.
  • Keywords
    bandwidth allocation; block codes; space-time codes; video coding; video communication; wireless channels; H.264 codec; bandwidth allocation problem; low-delay low-complexity end-to-end video transmission system; quasi-orthogonal space-time block codes; scalable H.264 wireless video transmission; scalable decoder distortion estimation algorithm; video distortion estimation algorithm; wireless video transmission system; Block codes; Channel allocation; Codecs; Constellation diagram; Error correction codes; MIMO; Maximum likelihood decoding; Maximum likelihood estimation; Static VAr compensators; Video compression; Distortion estimation; Optimal bandwidth allocation; SVC; Scalable H.264; Wireless MIMO systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517707
  • Filename
    4517707