• DocumentCode
    1692309
  • Title

    Live video streaming with adaptive pre-processing by using scalable video coding

  • Author

    Grois, D. ; Hadar, Ofer ; Ohayon, R. ; Amram, N.

  • Author_Institution
    Commun. Syst. Eng. Dept., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    2013
  • Firstpage
    588
  • Lastpage
    589
  • Abstract
    In this work, a novel live scalable video streaming scheme, with adaptive pre-processing (pre-filtering), is presented. The scheme employs Scalable Video Coding (SVC), which is an extension of the H.264/AVC. An adaptive pre-filter is provided for each SVC layer, while each pre-filter´s parameters, such as the standard deviation and kernel matrix size, are dynamically adjusted according to the varying network conditions, thereby enabling to continuously obtain an optimal visual presentation quality at the decoder end. The performance of the presented live scalable video streaming scheme is evaluated and tested in detail, thereby demonstrating significant improvements of more than 2dB.
  • Keywords
    adaptive filters; decoding; video coding; video streaming; H.264-AVC; SVC; adaptive prefilter; adaptive preprocessing; decoder end; kernel matrix size; live scalable video streaming scheme; optimal visual presentation quality; scalable video coding; standard deviation; varying network conditions; Adaptive systems; Kernel; Real-time systems; Standards; Static VAr compensators; Streaming media; Video coding; Scalable Video Coding (SVC); adaptive pre-processing/pre-filtering; high-quality visual presentation; live/real-time video streaming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2013 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4673-1361-2
  • Type

    conf

  • DOI
    10.1109/ICCE.2013.6487029
  • Filename
    6487029