TY - GEN
T1 - Accuracy of video frame size forecasting
AU - McGarry, Michael P.
AU - Seeling, Patrick
AU - Haddad, Rami
AU - Hernandez, Jesus
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Video Frame Size Forecasting
KW - Video Frame Size Prediction
UR - https://scholarworks.utep.edu/elec_comp_papers/43
UR - https://ieeexplore.ieee.org/abstract/document/6220754/
UR - http://www.scopus.com/inward/record.url?scp=84864254334&partnerID=8YFLogxK
U2 - 10.1109/EIT.2012.6220754
DO - 10.1109/EIT.2012.6220754
M3 - Conference article
SN - 9781467308199
T3 - IEEE International Conference on Electro Information Technology
BT - 2012 IEEE International Conference on Electro/Information Technology, EIT 2012
T2 - 2012 IEEE International Conference on Electro/Information Technology, EIT 2012
Y2 - 6 May 2012 through 8 May 2012
ER -