• DocumentCode
    1591790
  • Title

    Adaptive Real-Time Video Streaming System for Best-Effort IP Networks

  • Author

    Lehikoinen, Lassi ; Raty, Tomi

  • Author_Institution
    VTT Tech. Res. Centre of Finland, Oulu
  • fYear
    2009
  • Firstpage
    131
  • Lastpage
    137
  • Abstract
    This paper presents an adaptive real-time video streaming (AVS) system that delivers real-time video stream from a network camera to multiple video receivers. The system provides an application layer rate-adaptation mechanism that adapts video quality and bit rate according to the network congestion conditions and the available bandwidth. The goal of the system is to improve the smoothness of the video playback at the receivers under varying network conditions. This is performed by concluding the highest possible video bit rate that can be used without facing bandwidth limitation problems. The system was tested and evaluated in private Ethernet local area network (LAN) in which packet loss and limitation on bandwidth was generated by utilizing a network impairment emulation tool. Based on the performed tests, the system behavior was predictable. The research is based on the constructive method of the related publications and technologies and the results are derived by the implemented AVS system.
  • Keywords
    IP networks; bandwidth allocation; telecommunication traffic; video streaming; IP network; adaptive real-time video streaming system; bandwidth limitation problem; network congestion condition; video bit rate; video receiver; Bandwidth; Bit rate; Cameras; Ethernet networks; IP networks; LAN emulation; Local area networks; Real time systems; Streaming media; System testing; QoS; passive monitoring; video streaming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, 2009. ICONS '09. Fourth International Conference on
  • Conference_Location
    Gosier, Guadeloupe
  • Print_ISBN
    978-1-4244-3469-5
  • Electronic_ISBN
    978-0-7695-3551-7
  • Type

    conf

  • DOI
    10.1109/ICONS.2009.21
  • Filename
    4976331