Accuracy of Video Frame Size Forecasting

Michael P. McGarry, Patrick Seeling, Rami Haddad, Jesus Hernandez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We experimentally explore the forecast accuracy of three forecast model types, namely (i) Auto-Regressive (AR), (ii) Moving Average (MA), and (iii) Exponentially Weighted Moving Average (EWMA). Specifically, we use a set of five MPEG-4 video traces and measure the Normalized Mean Squared Error (NMSE) for each of the model types with varying model parameters. We find that increasing model order is not beneficial for I and P frame size forecasting, but is beneficial to B frame size forecasting. Most importantly, we find that the forecast accuracy has the strongest dependence on the statistical properties of the video content itself. It appears that the forecast accuracy is not dependent on the forecast model properties but rather strictly dependent on the logical and statistical properties of the content.

Original languageEnglish
Title of host publicationProc. of the IEEE International Conference on Electro/Information Technology (EIT)
StatePublished - May 2012
Event2012 IEEE International Conference on Electro/Information Technology, EIT 2012 - Indianapolis, IN, United States
Duration: May 6 2012May 8 2012

Publication series

NameIEEE International Conference on Electro Information Technology
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373


Conference2012 IEEE International Conference on Electro/Information Technology, EIT 2012
Country/TerritoryUnited States
CityIndianapolis, IN


  • Video Frame Size Forecasting
  • Video Frame Size Prediction


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