Stereo video coding using distributed compressive sensing with joint dictionary

Huihui Bai, Mengmeng Zhang, Anhong Wang, Yao Zhao

Abstract: For many practical applications, stereo-paired video is an important special case of multiview video coding (MVC). This paper presents a novel framework of stereo video coding based on distributed compressive sensing, which also can be easily extended to MVC. According to distributed video coding (DVC) at the encoder the video sequences from each view can be compressed independently without any communications between the cameras while at the decoder the inter-view correlation can be exploited for quality enhancement. Furthermore, due to compressive sensing (CS) principles, low complexity at the encoder side can result in low power consumption in the cameras, which may be promising in wireless camera sensor network. Here, the joint dictionary is applied in compressive sensing, which can make good use of inter-view and temporal correlation for better reconstruction quality of convex optimization. The experimental results validate the effectiveness of the proposed scheme with better performance than other compared schemes.