• DocumentCode
    725351
  • Title

    Inspecting Coding Dependency in Layered Video Coding for Efficient Unequal Error Protection

  • Author

    Zakerinasab, Mohammad Reza ; Mea Wang

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    760
  • Lastpage
    761
  • Abstract
    To improve the quality of video streaming subject to video bitrate or communication channel capacity, a high-quality video is encoded into multiple layers of unequal importance. Layers that provide higher quality rely on the previous layers for successful reconstruction of transmitted video packets. Hence, if a video packet in a reference layer is corrupted or lost during transmission, the dependent layers cannot be reconstructed successfully, and the resources consumed to transmit them are wasted. To address this problem, unequal error protection (UEP) techniques have been proposed to provide appropriate level of protection to each layer according to their importance. Nonetheless, the importance of a piece of video content is determined by not only the layering structure, but also coding dependency imposed by encoding decisions. In this paper, based on a deep inspection of coding and prediction in SVC (a layered video coding standard) and an analysis of seven real SVC videos, we conclude that macro block-level coding dependency will provide a more accurate importance measure when applying UEP to protection video packets in noisy channels.
  • Keywords
    block codes; channel capacity; image reconstruction; video coding; video streaming; SVC; UEP technique; communication channel capacity; high-quality video encoding; layered video coding dependency inspection; macroblock-level coding dependency; noisy channel; unequal error protection; video bitrate; video packet protection; video packet reconstruction; video streaming quality improvement; Encoding; Error correction codes; Standards; Static VAr compensators; Streaming media; Video coding; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems (ICDCS), 2015 IEEE 35th International Conference on
  • Conference_Location
    Columbus, OH
  • ISSN
    1063-6927
  • Type

    conf

  • DOI
    10.1109/ICDCS.2015.96
  • Filename
    7164974