Title :
A Novel Modeling of MPEG-4 Video Sequence
Author :
Huo, Yan ; Jing, Tao ; Feng, Yumin
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ.
Abstract :
This paper presents a novel modeling of MPEG video sequence. In this work, the sequence is modeled using mixture-exponential distribution. In order to capture long range dependence and self-similar characteristics of MPEG video sequence, the method of mixture-exponential is employed on the predicted model. Simulation results demonstrate that this model captures important statistical features of original sequence
Keywords :
exponential distribution; image sequences; video coding; MPEG-4 video sequence; long range dependence; mixture-exponential distribution; self-similar characteristics; Analytical models; Autocorrelation; Character recognition; MPEG 4 Standard; Prediction algorithms; Predictive models; Resource management; Telecommunication traffic; Traffic control; Video sequences;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345884
