Massively Efficient Motion Estimation by Exploiting Inter-Pixel Similarities

In this paper, we propose a novel massively parallel motion estimation for HEVC using an efficient yet flexible predicate algorithm, ScalingFast that exploits inter-pixel similarities. When evaluated over four video test video sequences with changing resolution, the proposed algorithm outperforms the anchor algorithm by factor of up to 4.6, with little to no loss in rate-distortion (RD) performance.