Rate control technique based on 3D quality optimization for 3D video encoding

This paper presents a new 3D video (in color plus depth format) encoding system, featured of 3D quality optimization and joint rate control between color and depth components. An SVR-based prediction model is pre-built for estimating the best bit rate allocation between color and depth for each frame by analyzing edge features in the color and the depth component images. We also modify rate control scheme in H.264/SVC JSVM reference software to be suitable for joint rate control of the color and depth sequences. Accordingly, bit rates can be dynamically and accurately allocated between color and depth components to achieve optimized 3D video quality. From the experiment results, it is shown that our proposed method is capable of achieving more accuracy in rate control and better 3D quality for visual perception.