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
Link To Document