• DocumentCode
    2931915
  • Title

    Randomized Network Coding for UEP video delivery in overlay networks

  • Author

    Thomos, Nikolaos ; Chakareski, Jacob ; Frossard, Pascal

  • Author_Institution
    Signal Process. Lab. (LTS4), Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    730
  • Lastpage
    733
  • Abstract
    This paper presents a receiver-driven video delivery algorithm that exploits a novel Randomized Network Coding (RNC) scheme for unequal error protection (UEP). The main idea of our approach is to account for the unequal importance of media packets in the network coding algorithm for efficient stream delivery in lossy overlay networks. Based on the requests from their neighbours, the network nodes properly combine packets and forward them to their children nodes. The network coding operations at every node are formulated as a log-concave optimization problem, which is solved with a greedy algorithm in only a few iterations. Our experimental results demonstrate that the proposed scheme permits to respect the priorities between the different packet classes. It further outperforms baseline network coding techniques for video streaming in overlay networks.
  • Keywords
    computer networks; concave programming; greedy algorithms; iterative methods; video coding; video streaming; UEP video delivery algorithm; greedy algorithm; iteration method; log-concave optimization; overlay networks; randomized network coding; unequal error protection; video streaming; Error correction codes; Intelligent networks; Jacobian matrices; Laboratories; Network coding; Network servers; Peer to peer computing; Signal processing algorithms; Streaming media; Video signal processing; Network coding; overlay networks; rate allocation; unequal error protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-4290-4
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2009.5202598
  • Filename
    5202598