Adaptive asymmetric diamond search algorithm for block-based motion estimation

Abstract

In this paper, an adaptive asymmetric diamond search (AADS) for block based motion estimation is presented. The proposed method exploits an adaptive search pattern based on the predicted motion vector. In addition, the accuracy of the prediction is improved by changing the initial search center position. Simulation results show that the proposed algorithm can reduce the search points up to about 30% compared to the regular diamond search while keeping the picture quality similar to other fast search algorithms.