Video Bandwidth Forecasting

Authors

Rami J. Haddad, Georgia Southern UniversityFollow
Micheal P. McGarry, University of Texas at El PasoFollow
Patrick Seeling, Central Michigan University

Document Type

Article

Publication Date

4-2013

Publication Title

IEEE Communications Surveys and Tutorials

DOI

10.1109/SURV.2013.032213.00091

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.

Recommended Citation

Haddad, Rami J., Micheal P. McGarry, Patrick Seeling. 2013. "Video Bandwidth Forecasting." IEEE Communications Surveys and Tutorials, 15 (4): 1803-1818: IEEE Xplore. doi: 10.1109/SURV.2013.032213.00091
https://digitalcommons.georgiasouthern.edu/electrical-eng-facpubs/23