GOP-level Transmission Distortion Modeling for Video Streaming over Mobile Networks

摘要：

A major challenge in video coding and transmission over mobile networks is that the wireless channel is errorprone and the channel resources are limited. In this work, we analyze the picture distortion caused by channel errors and the distortion propagation behavior in its subsequent frames along the motion prediction path. We propose a linear fitting approach algorithm to achieve a low complexity GOP-level transmission distortion modeling. It is a predictive modeling which allows the encoder to predict the transmission distortion before the whole GOP is compressed and transmitted. The simulation results demonstrate that the proposed modeling has low computational complexity and high accuracy. It can be used in allocating the limited channel resources optimally for mobile video applications.

关键词： transmission distortion predictive modeling video coding mobile network

作者: Yu Han Aidong Men Kan Chang Ziyi Quan

作者单位: School of Information and Telecommunication Engineering Beijing University of Posts and Telecommunications Beijing,P.R.China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 91-95

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）