A frame-level FSBM motion estimation architecture with large search range

Abstract

Motion estimation plays an important role in video compression to remove temporal redundancies between successive frames. It is also useful in aiding detection of moving objects. Full-search block-matching (FSBM) is the most preferred algorithm for motion estimation. Frame-level pipelined FSBM architectures have advantages over block-level pipelined architectures in their simpler control and reduced number of memory accesses. In this paper, a frame-level pipelined FSBM motion estimation array processor for large search range p = qN is presented where q/spl ges/ 1/2 and N/spl times/N is the block size.