Stretching, compression and shearing disparity compensated prediction techniques for stereo and multiview video coding

In multiview video coding, disparity compensated prediction exploits the correlation among different views. A common approach is to use the conventional motion compensated prediction to predict disparity effect among different views. However, the same object in different views usually has deformation of different extents and, thus, accurate disparity prediction cannot be achieved with such simple translational motion model. Previous attempts to achieve more accurate disparity prediction are usually too complex for practical implementation. In this paper, stretching, compression and shearing (SCSH) effects are investigated to better model the disparity effect in disparity compensated prediction. To achieve SCSH effects with minimal computation, an efficient disparity compensated prediction using subsampled block-matching technique is proposed. No affine parameters estimation or additional frame buffers is required and the overall increase in memory requirement and computational complexity is moderate. Experimental results show that the new technique can achieve up to 4.84% bitrate reduction in inter-view prediction using JM17.0 reference software implementation.