A Parity-Based Error Control Method for Distributed Compressive Video Sensing

A novel framework called distributed compressive video sensing (DCVS), combining distributed video coding (DVC) and compressive sensing (CS), directly capture the raw video data as measurements with low-complexity and low-cost process. It meets the requirements of distributed system very well, because of its resource consumption shifting from encoder to decoder. Nevertheless, the issue of measurements transmission in bit error channel has not been considered yet in the previous work of DCVS. This paper improved the existing DCVS codec scheme by adding the quantization and inverse quantization process, and proposed a parity-based error control (PEC) method. This method is simple enough, and has high coding efficiency. The proposed method is shown to increase video recovery quality greatly under binary symmetric channel.