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 :
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