Adaptive motion estimation based on texture analysis

Texture classification applied to the frame difference signals can be used to design adaptive algorithms for a variety of video applications. In this paper an adaptive block matching motion estimation algorithm based on the interframe texture analysis is presented. The algorithm adaptively changes the size and shape of the search window of each block depending on the values of textural features. The chosen features are extracted from the temporal difference histogram and provide information about the speed of the moving objects and the most likely direction of their motion. Applications of the proposed algorithm to the normal and hierarchical motion estimators are shown. Compared to the known techniques, the presented methods reduce the computational effort by saving unnecessary searches while offering higher performance