Data reusable search scan methods for low power motion estimation

This paper proposes the data reusable search scan methods for low power Motion Estimation (ME). The proposed Optimized Sub-region Partitioning (OSP) method can reduce the number of the required registers with the same data reusability. In addition, the proposed Center Biased Search Scan method (CBSS) for various fast search algorithms can improve the data reusability. The performance comparisons show that the proposed search scan methods can reduce redundant data loading average about 26.9% and 16.1% compared with raster scan and snake scan methods, respectively. Due to reduction of memory accesses, the proposed search scan methods are quite suitable for low power and high performance ME implementation.