Search Area Selective Reuse Algorithm in Motion Estimation

Motion estimation has been widely studied and used to improve coding efficiency with small data access for power-saving. Conventional search area reuse algorithm requires small memory access by reuse of search area, but, suffers from coding efficiency degradation in fast motion video sequence. In this paper, we propose a search area selective reuse algorithm. The proposed algorithm well selects search center for reducing memory access in slow motion region and for tracking real motion in fast motion region according to the motion vector and search center information of the neighbor block. Compared to the conventional reuse algorithm, our experimental results show that the proposed algorithm prevents the coding efficiency degradation with small memory access overhead by tracking real motion in fast motion frames.