• DocumentCode
    2478282
  • Title

    An Efficient Data Classification Scheme with the H.264 Flexible Marcoblock Ordering

  • Author

    Im, Sio Kei ; Pearmain, A.J.

  • Author_Institution
    Electron. Eng. Dept., Queen Mary Univ. of London
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1135
  • Lastpage
    1139
  • Abstract
    The flexible macroblock ordering (FMO) feature of the state-of-the-art advanced video coding standard, H.264, provides an efficient error resilience tool for video transmission over unreliable channels. In this paper, we exploit FMO to classify the data and introduce an opportunity for unequal error protection (UEP), where more important macroblocks are better protected than the others. However, the default mapping structures in the standard may not be optimized for this scenario. This paper presents an efficient FMO mapping technique that can be well suited to UEP techniques. Simulation results show that our proposed scheme is superior to the default standard mapping schemes, and has the advantage of controlling the high-to-low priority layer rate ratio according to application´s requirements
  • Keywords
    code standards; image classification; telecommunication channels; telecommunication network reliability; video coding; FMO mapping technique; H.264 flexible marcoblock ordering; UEP; data classification; error resilience tool; unequal error protection; unreliable channel; video coding standard; video transmission; Automatic voltage control; Communication standards; Data engineering; Error correction codes; MPEG 4 Standard; Multimedia communication; Resilience; Video coding; Video compression; Wireless networks; Flexible Macroblock Ordering; Unequal Error Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 2005 Fifth International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    0-7803-9283-3
  • Type

    conf

  • DOI
    10.1109/ICICS.2005.1689231
  • Filename
    1689231