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	Intelligent integrated traffic prediction modeling for VBR MPEG video transmission
	Liu Xiao-ying ; Dai Qiong-hai ; Liu Xiao-dong
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical/ data compression fuzzy neural nets prediction theory quality of service telecommunication computing telecommunication traffic variable rate codes video coding/ intelligent integrated traffic prediction model video transmission VBR variable bit rate MPEG moving picture experts group digital media network quality of service QoS fuzzy-neural network/ B6135C Image and video coding C7410F Communications computing C5260D Video signal processing C5290 Neural computing techniques
中文摘要	As a main video transmission mode for digital media networks, the capability to predict VBR video traffic can significantly improve the effectiveness of quality of services. Therefore, aiming at the complex characteristics of MPEG videos, a novel intelligent integrated traffic prediction model is proposed based on fuzzy and neural network. The prediction error is reduced by the fuzzy predictor, and the implementation of neural network is used to lower prediction computation for real time. Simulation results show that the proposed method is able to predict the original traffic more accurately than the normal AR method and can be easily applied into other methods.
语种	中文 ; 中文
出版者	Chinese Inst. Electron ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9008]
专题	清华大学
推荐引用方式 GB/T 7714	Liu Xiao-ying,Dai Qiong-hai,Liu Xiao-dong. Intelligent integrated traffic prediction modeling for VBR MPEG video transmission[J],2010, 2010.
APA	Liu Xiao-ying,Dai Qiong-hai,&Liu Xiao-dong.(2010).Intelligent integrated traffic prediction modeling for VBR MPEG video transmission..
MLA	Liu Xiao-ying,et al."Intelligent integrated traffic prediction modeling for VBR MPEG video transmission".(2010).

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