• DocumentCode
    664890
  • Title

    Network-optimized adaptive SVC-based live video streaming

  • Author

    Grois, D. ; Hadar, Ofer ; Marpe, Detlev

  • Author_Institution
    Image Process. Dept., Fraunhofer HHI, Berlin, Germany
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    352
  • Lastpage
    354
  • Abstract
    In this work, a network-optimized live scalable video streaming scheme with adaptive preprocessing is presented, while showing significant improvements in visual quality. According to the proposed scheme, an adaptive pre-filter is applied prior to encoding each Scalable Video Coding (SVC) layer, while each pre-filter parameters are dynamically adjusted according to varying network conditions, such as the network Round Trip Time (RTT) and packet loss ratio, thereby enabling to continuously obtain an optimal visual quality at the decoder side. The performance of the presented scheme is evaluated and tested in detail, thereby demonstrating a significant gain of up to 5dB.
  • Keywords
    adaptive codes; adaptive filters; decoding; video coding; video streaming; RTT; adaptive pre-filter; adaptive preprocessing; network round trip time; network-optimized adaptive SVC based live video streaming; packet loss ratio; scalable video coding; visual quality; Adaptive systems; Packet loss; Static VAr compensators; Streaming media; Video coding; Visualization; Scalable Video Coding (SVC); adaptive pre-processing; high visual quality; real-time video streaming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics ?? Berlin (ICCE-Berlin), 2013. ICCEBerlin 2013. IEEE Third International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4799-1411-1
  • Type

    conf

  • DOI
    10.1109/ICCE-Berlin.2013.6698049
  • Filename
    6698049