VBR MPEG video traffic prediction based on intelligent integrated model

Xiaoying Liu; Xiaodong Liu; Qionghai Dai; Peng Tan

doi:10.1117/12.633207

24 June 2005 VBR MPEG video traffic prediction based on intelligent integrated model

Xiaoying Liu, Xiaodong Liu, Qionghai Dai, Peng Tan

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59604U (2005) https://doi.org/10.1117/12.633207
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

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 VBR MPEG videos, a novel intelligent integrated traffic prediction model is proposed based on fuzzy and neural network. The fuzzy predictor reduces the prediction error, and the implementation of neural network is used to lower the computational complexity for real-time operation. Experimental results show that the prediction errors of the proposed model are significantly smaller than the conventional AR models and provide an improved video traffic prediction technique.

Citation Download Citation

Xiaoying Liu, Xiaodong Liu, Qionghai Dai, and Peng Tan "VBR MPEG video traffic prediction based on intelligent integrated model", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59604U (24 June 2005); https://doi.org/10.1117/12.633207

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KEYWORDS

Video

Autoregressive models

Fuzzy logic

Neural networks

Integrated modeling

Video processing

Artificial intelligence

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