An accurate scene-based traffic model for MPEG video stream

Author

Zhang, Qian ; Lin, Chuang ; Yin, Hao ; Dai, Qiong-hai

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China

Volume

1

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

228

Abstract

In this paper, we propose an accurate scene-based traffic model for MPEG video stream. The autocorrelation structure of video stream is modeled by two Auto-Regress (AR) processes. We also take the correlation in GOP (Group of Picture) into account. According to the size of I frame, the size of B frame and P frame in the same GOP are determined by a lognormal distribution. As for the marginal distribution of the MPEG video stream, we use normal mixture distribution to fit it, and the parameters of normal mixture distribution are estimated through an Expecting Maximum (EM) algorithm. At last, the accuracy of the proposed model is validated with simulation experiments and the application of this model in network QoS (Quality of Service) evaluation.

Keywords

autoregressive processes; log normal distribution; maximum likelihood estimation; multimedia communication; normal distribution; quality of service; telecommunication computing; telecommunication traffic; video coding; visual communication; EM algorithm; MPEG video stream; accurate scene-based traffic model; autocorrelation structure; autoregressive processes; group of picture; lognormal distribution; long range dependency; marginal distribution; network QoS; normal mixture distribution; short range dependency; Autocorrelation; Bit rate; Computer science; Degradation; MPEG 4 Standard; Probability distribution; Quality of service; Streaming media; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on

Print_ISBN

0-7803-8163-7

Type

conf

DOI

10.1109/ICECS.2003.1302018

Filename

1302018