Disparity-adjusted 3D multi-view video coding with dynamic background modelling

Capturing a scene using multiple cameras from different angles is expected to provide the necessary interactivity in the 3D space to satisfy end-users´ demands for observing objects and actions from different angles and depths. Existing multiview video coding (MVC) technologies are not sufficiently agile to exploit the interactivity and inefficient in terms of image quality and computational time. In this paper a novel technique is proposed using disparity-adjusted 3D MVC (DA-3D-MVC) with 3D motion estimation (ME) and 3D coding to overcome the problems. In the proposed scheme, a 3D frame is formed using the same temporal frames of all disparity-adjusted views and ME is carried out for the current 3D macroblock using the immediate previous 3D frame as a reference frame. Then, 3D coding technique is used for better compression. As all the same temporal position frames of all views are encoded at the same time, the proposed scheme provides better interactivity and reduced computational time compared to the H.264/MVC. To improve the rate-distortion (RD) performance of the proposed technique, an additional reference frame comprising dynamic background is also used. Experimental results reveal that the proposed scheme outperforms the H.264/MVC in terms of RD performance, computational time, and interactivity.