• DocumentCode
    186105
  • Title

    AVIS: An Adaptive VIdeo Simulation Framework for Scalable Video

  • Author

    Rizk, Ghada G. ; Zahran, Ahmed H. ; Ismail, Mahmoud H.

  • Author_Institution
    Dept. of Electron. & Electr. Commun., Cairo Univ., Giza, Egypt
  • fYear
    2014
  • fDate
    10-12 Sept. 2014
  • Firstpage
    84
  • Lastpage
    89
  • Abstract
    Scalable video coding (SVC) features a flexible media representation that enables adaptive streaming as network conditions change. However, existing SVC simulation tools do not support adaptive video transmission. In this paper, we present an Adaptive VIdeo Simulation (AVIS) framework for SVC in network simulator 2 (NS2). The framework includes two new NS2 objects, including AVIS transmitter and receiver, preprocessing and post processing tools that can be used with any SVC encoding. AVIS design provides a flexible and configurable means for supporting a wide range of time-based and traffic-based input parameters for adaptive algorithms. Hence, AVIS represents a unique framework that would speed up the performance evaluation of newly developed adaptive streaming algorithms for SVC.
  • Keywords
    data compression; radio receivers; radio transmitters; video coding; video streaming; AVIS design; AVIS framework; AVIS receiver; AVIS transmitter; NS2 objects; SVC encoding; SVC simulation tools; adaptive streaming algorithms; adaptive video simulation framework; adaptive video transmission; flexible media representation; network conditions; network simulator 2; performance evaluation; postprocessing tools; preprocessing tools; scalable video coding; time-based input parameters; traffic-based input parameters; Adaptation models; Bandwidth; Encoding; Media; Static VAr compensators; Streaming media; Transmitters; Adaptive Streaming; NS2; Scalable Video Coding (SVC); Simulation; myEvalSVC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eighth International Conference on
  • Conference_Location
    Oxford
  • Print_ISBN
    978-1-4799-5072-0
  • Type

    conf

  • DOI
    10.1109/NGMAST.2014.12
  • Filename
    6982896