Motion estimation using segmented Gibbs-modeled vector fields

The approach described in this paper improves block-based motion estimation and compensation by introduction of a block segmentation dividing each block into two parts. For each block a segmentation pattern is derived from the motion vectors, which circumvents the transmission of the segmentation as side information. Motion vectors are estimated for both parts of a block. Although the number of motion vectors increases, the coding overhead can be kept sufficiently low by incorporating a Gibbs-criterion into the motion estimation criterion to trade off coding rate versus prediction error