3DTV-Oriented Multiview Video Coding Based on Stereoscopic Visual ROI

In this paper, a stereoscopic vision based region-of-interest (ROI) classification and the corresponding multiview video coding algorithm is proposed for three-dimensional television (3DTV), which takes advantage of the bottom-up statical visual attention, combined with motion and depth information. Then the regions received more attentions are allocated more bits, while those with less attentions are allocated less bits, so as to save bitrate by using human visual redundancy. The experimental results show that the proposed algorithm can improve the coding efficiency effectively. Compared with JMVM 7.0, the proposed algorithm can reduce about 18%~34% bitrate when quantization parameter (QP) is 22, and the SSIMs between the images reconstructed by the proposed algorithm and JMVM 7.0 are about 99%, which means that the quality of the reconstructed image is almost not decreased.