A novel fusion method in distributed multi-view video coding over wireless video sensor network

To meet the special requirements of resource-limited video sensors in wireless video sensor network (WVSN), low-complexity video encoding technique is highly desired. In distributed multi-view video coding (DMVC) system, multi-view video sources are encoded separately and decoded dependently, so the burden of huge computation is shifted from the encoder side to the decoder side. The generation of the side information (SI) is an important part in the design of a DMVC system as it directly relates to the system´s performance. In this paper, a new fusion method combining the histogram matching and the minimum sum of the absolute differences (SAD) criterion is proposed to generate the final SI. The simulation results show that the proposed method generates more qualified SI and improves the peak signal to noise ratio (PSNR) performance at an average 1.6dB gain for reconstructed frame when compared to the traditional fusion methods in DMVC system.