• DocumentCode
    5338
  • Title

    Video Bandwidth Forecasting

  • Author

    Haddad, Rami J. ; McGarry, Michael P. ; Seeling, Patrick

  • Author_Institution
    Dept. of Electr. Eng., Georgia Southern Univ., Statesboro, GA, USA
  • Volume
    15
  • Issue
    4
  • fYear
    2013
  • fDate
    Fourth Quarter 2013
  • Firstpage
    1803
  • Lastpage
    1818
  • Abstract
    We survey twenty years of research literature on video frame size forecasting. We organize the discussion of the literature using model type and model parameters as a taxonomy. We discuss how to use video frame size forecasts to forecast video bandwidth requirements. We provide extensive comparisons of forecast accuracy among the various mechanisms using data extracted from the literature and a set of common experiments we conducted. Lastly, we summarize our findings with respect to forecast accuracy and we identify open areas for research.
  • Keywords
    bandwidth allocation; video signal processing; forecast accuracy; model parameters; model type; taxonomy; video bandwidth forecasting; video bandwidth requirements; video frame size forecasting; Bandwidth allocation; Prediction models; Technology forecasting; Video communication; Bandwidth Forecasting; Bandwidth Prediction; Dynamic Bandwidth Allocation; Video Bandwidth Forecasting; Video Bandwidth Prediction; Video Forecasting; Video Prediction;
  • fLanguage
    English
  • Journal_Title
    Communications Surveys & Tutorials, IEEE
  • Publisher
    ieee
  • ISSN
    1553-877X
  • Type

    jour

  • DOI
    10.1109/SURV.2013.032213.00091
  • Filename
    6492305