Asymmetric Coding of Multi-View Video Plus Depth Based 3-D Video for View Rendering

The recent years have witnessed three-dimensional (3-D) video technology to become increasingly popular, as it can provide high-quality and immersive experience to end users, where view rendering with depth-image-based rendering (DIBR) technique is employed to generate the virtual views. Distortions in depth map may induce geometry changes in the virtual views, and distortions in texture video may be propagated to the virtual views. Thus, effective compression of both texture videos and depth maps is important for 3-D video system. From the perspective of bit allocation, asymmetric coding of the texture videos and depth maps is an effective way to get the optimal solution of 3-D video compression and view rendering problems. In this paper, a novel asymmetric coding method of multi-view video plus depth (MVD) based 3-D video is proposed on purpose of providing high-quality view rendering. In the proposed method, two models are proposed to characterize view rendering distortion and binocular suppression in 3-D video. Then, an asymmetric coding method of MVD-based 3-D video is proposed by combining two models in encoding framework. Finally, a chrominance reconstruction algorithm is presented to achieve accurate reconstruction. Experimental results show that compared with other methods, the proposed method can obtain higher performance of view rendering under the total bitrate constraint. Moreover, the perceptual visual quality of 3-D video is almost unaffected with the proposed method.