VBR MPEG video traffic prediction based on intelligent integrated model
Xiaoying Liu, Xiaodong Liu, Qionghai Dai, Peng Tan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
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.