Wyner-Ziv coding of video using compressive sensing without feedback channel

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.