Modeling MPEG-4 VBR video traffic by using ANFIS

被引：0

作者：

Fang, Zhijun ^{[1
]}

Xu, Shenghua ^{[1
]}

Wan, Changxuan ^{[1
]}

Wang, Zhengyou ^{[1
]}

Wu, Shiqian ^{[1
]}

Zeng, Weiming ^{[1
]}

机构：

[1] Jiangxi Univ Finance & Econ, Sch Informat Technol, Jiangxi 330013, Peoples R China

来源：

INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION | 2006年 / 345卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Video traffic predicting and modeling are very important for compressed video transmission. The traditional method delineates the process by a rigid model with several parameters, which are difficult to estimate. In this paper, the MPEG-4 VBR (Variable Bit Rate) video traffic is modeled by the ANFIS (Adaptive Neuro-Fuzzy Inference System). Then, it is applied to modeling and predicting the MPEG-4 VBR video traffic. Simulations show the GoP (Group of Pictures) loss probabilities in actual video traffic are very close to those in ANFIS modeling traffic at the same experimental conditions and the prediction errors (1/SNR) are very small.

引用

页码：958 / 963

页数：6

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