Wyner-Ziv Coding of Video using Compressive Sensing Without Feedback Channel

摘要：

In this paper, we propose a novel Wyner-Ziv coding of video using compressive sensing (CS) without using feedback channel. Firstly, the proposed joint sparse model of inter frames is presented. Then, the CS based Wyner-Ziv (WZ) frame coding method is introduced. In proposed method, WZ frame is coded by block based CS measure, quantization, and entropy coding, with rate-distortion (RD) optimization through adaptive measurement collection. In order to obtain a better recover performance, WZ frame jointly reconstructed using side information (SI) based on inter-frame joint sparse representation at the decoder. Finally, experimental results are reported to demonstrate the effectiveness of the proposed coding method.

关键词： Wyner-Ziv video coding Compressive sensing joint sparse model l1-l2optimization

作者: Zongliang Gan Lina Qi Xiuchang Zhu

作者单位: College of Telecommunications & Information Engineering Nanjing University of Posts and Telecommunications, Nanjing, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1129-1132

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）