• DocumentCode
    3528698
  • Title

    Is it worth to predict overflows during video streaming over wireless networks?

  • Author

    Bankov, Dmitry ; Khorov, Evgeny ; Lyakhov, Andrey

  • Author_Institution
    Inst. for Inf. Transm. Problems, Moscow, Russia
  • fYear
    2015
  • fDate
    18-21 May 2015
  • Firstpage
    220
  • Lastpage
    224
  • Abstract
    No. In the paper, we consider compressed video streaming over the wireless channel. From time to time, dynamically changing channel characteristics cause queue overflows, packet drops and, finally, video quality degradation. To eliminate it, the well known I-Frame delay algorithm drops the least important packets when the queue overflows. However, this algorithm starts working only when the queue overflows. Inspired by many works on video bitrate and channel quality prediction, we study how I-Frame Delay would benefit if it knew about future queue overflows and filtered packets in advance. We show that even with the ideal prediction the improvement is negligible.
  • Keywords
    compressed sensing; queueing theory; video streaming; wireless channels; I-Frame delay algorithm; channel quality prediction; compressed video streaming; dynamically changing channel characteristics; filtered packets; packet drops; queue overflows; video bitrate; video quality degradation; wireless channel; Delays; Prediction algorithms; Quality assessment; Streaming media; Video recording; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking (BlackSeaCom), 2015 IEEE International Black Sea Conference on
  • Conference_Location
    Constanta
  • Type

    conf

  • DOI
    10.1109/BlackSeaCom.2015.7185119
  • Filename
    7185119