Key-frame reference selection for non-feedback video communication

查看全文 作　　者：PENG [1]Qiang;ZHANG [1]Lei;YANG Tian-[1]wu;CHEN Jim [2]X;ZHU [3]Ce

机构地区：[1]School of Information Science & Technology, Southwest Jiaotong University, Chengdu 610031, China;[2]School of Information Technology & Engineering, George Mason University, VA 22030, USA;[3]School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore

出　　处：《The Journal of China Universities of Posts and Telecommunications》索引2009年第16卷第5期,共11页

基　　金：supported by the National Natural Science Foundation of China (60672099) 摘　　要：This article addresses the problem of reference picture optimization in video communication over error prone networks. A novel estimation model for transmission distortion is proposed. This model is capable of recursively estimating the overall end-to-end distortion caused by quantization, error propagation, and error concealment. Simulation results show that this model can accurately estimate channel distortion. Then, based on the distortion estimation model, a new non-feedback key-frame reference picture selection (KRPS) algorithm is developed. The optimum reference picture minimizes the transmission distortion under the rate-distortion optimization framework. Extensive experiment results demonstrate that the proposed KRPS algorithm substantially achieves more peak signal to noise ratio (PSNR) gain over traditional prediction, especially in low bit-rate transmission. 关键词：视频通信关键帧反馈估计模型量化失真率失真优化优化问题错误隐藏

相关文献

参考文献（13）
引证文献（3）
耦合文献（0）

参考文献(13)

引证文献(3)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Key-frame reference selection for non-feedback video communication

参考文献(13)

引证文献(3)

用户提示