On modeling MPEG video traffics

被引：37

作者：

Ansari, N ^{[1
]}

Liu, H ^{[1
]}

Shi, YQ ^{[1
]}

Zhao, H ^{[1
]}

机构：

[1] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA

来源：

IEEE TRANSACTIONS ON BROADCASTING | 2002年 / 48卷 / 04期

关键词：

ARIMA; autocorrelation; motion pictures; MPEG; self-similar process; traffic modeling;

D O I：

10.1109/TBC.2002.806794

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper traces the development/evolution of three of our recently proposed MPEG coded video traffic models, that can capture the statistical properties of MPEG video data. The basic ideas behind these models are to decompose an MPEG compressed video sequence into several parts according to motion/scene complexity or data structure. Each part is described by a self-similar process. These different self-similar processes are then combined to form the respective models. In addition, Beta distribution is used to characterize the marginal cumulative distribution (CDF) of the self-similar processes. Comparison among the three models shows that the latest model (called the simple IPB composite model) is the most practical one in terms of accuracy and complexity. Simulations based on many real MPEG compressed movie sequences, including StarWars, have demonstrated that the simple model can capture the autocorrelation function (ACF) and the marginal CDF very closely.

引用

页码：337 / 347

页数：11

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