An accurate scene-based traffic model for MPEG video stream

被引：0

作者：

Zhang, Q ^{[1
]}

Lin, C ^{[1
]}

Yin, H ^{[1
]}

Dai, QH ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China

来源：

ICECS 2003: PROCEEDINGS OF THE 2003 10TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-3 | 2003年

关键词：

MPEG4; video traffic model; long range dependency; short range dependency;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 AutoRegress (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.

引用

页码：228 / 231

页数：4

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