MEASUREMENT COMPRESSION IN DISTRIBUTED COMPRESSIVE VIDEO SENSING

摘要：

simple encoder and complex decoder is desired. Distributed video coding (DVC) and compressive sensing (CS) theory proposed recently are two techniques suitable to such scenarios, and several video coding schemes that combine CS with DVC have appeared. However, in these existing integrated schemes, the dependencies between measurements of successive image frames have not yet been exploited. In this paper, we first propose a Gaussian distribution model to describe the correlations between the measurements of a CS frame and the measurements of its side information. And then, we propose to compress the measurements of CS frame using a channel coder similar to that in DVC. Experiment results indicate that the compression ratio of the proposed measurement compression scheme achieves 56.50％-71.66％ for four test sequences when measurement rates for key frame and CS frame are 50％ and 20％ respectively.

关键词： distributed compressive video sensing distributed video coding compressive sensing correlation model

作者: Xiaoran Hao Bojin Zhuang Anni Cai

作者单位: Multimedia Communication Key Laboratory of Chinese Ministry of Information Industry,Beijing Universi Multimedia Communication Key Laboratory of Chinese Ministry of Information Industry, Beijing Univers

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Broadband Network & Multimedia Technology(2010年第三届IEEE宽带网络与多媒体国际会议 IC-BNMT 2010)

会议地点: 北京

会议语种:英文

页码: 850-854

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）