Title :
Kalman optimized model for MPEG-4 VBR sources
Author :
Zhijun, Fang ; Yuanhua, Zhou ; Daowen, Zou
Author_Institution :
Inst. of Image Commun. & Inf. Process., Shanghai Jiao Tong Univ., China
fDate :
5/1/2004 12:00:00 AM
Abstract :
This paper presents a traffic prediction method for MPEG-4 (Moving Picture Experts Group) VBR (Variable Bit Rate) videos. No previous knowledge of the traffic statistics is needed when Kalman optimized method is applied to modeling and predicting MPEG-4 video traffic. The GoP (group of pictures) loss probabilities in actual traffic are a very close approximation to those in our prediction traffic and the prediction errors are very small. Simulations show our prediction method for future GoP is effective and applicable to real time video traffic prediction and resource reservation.
Keywords :
Kalman filters; prediction theory; probability; variable rate codes; video coding; GoP loss probabilities; Kalman optimized model; MPEG-4 VBR sources; group of pictures; prediction errors; prediction traffic; traffic prediction method; variable bit rate; video traffic; Bit rate; Kalman filters; MPEG 4 Standard; MPEG standards; Optimization methods; Prediction methods; Predictive models; Statistics; Traffic control; Videos;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2004.1309449
