Exploiting depth information for efficient Multi-View Video Coding

The Multi-view Video Coding (MVC) technique provides significantly better coding efficiency compared to simulcast transmission of different camera view-points. This is done by exploiting both motion and disparity compensation techniques to compress the different view-point videos. This paper proposes a more efficient MVC technique that transmits the optimally selected compensation replacements with respect to more accurate compensation vector predictors obtained using the multi-view geometry and the depth information. In this technique, the SKIP mode is also modified to adapt its compensation direction from both the temporal and the view-point reference frames. Experimental results show that the proposed MVC technique gives an average gain in video quality of about 0.5dB, for the interview predicted view-points.