24 June 2005 VBR MPEG video traffic prediction based on intelligent integrated model
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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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoying Liu, Xiaoying Liu, Xiaodong Liu, Xiaodong Liu, Qionghai Dai, Qionghai Dai, Peng Tan, 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); doi: 10.1117/12.633207; https://doi.org/10.1117/12.633207
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