Computation-Aware Motion Estimation Based on Search-Point Constraint

Abstract

Computation-aware (CA) concept has been proposed to efficiently allocate computational resources under enviroments of power constraint. However, the computations of motion estimation could be overloaded in limited computing condition, even using the CA algorithms. In this paper, we introduce a method that achieves motion estimation in the extremely insufficient computational budget. We proposed a modified PCDB list to achieve better visual quality. To decrease the search points requirement, subsampling technique is combined with the proposed algorithm. The proposed method significantly reduces the requirement of search points in computing motion vectors. Satisfactory visual quality and computational consumption can be achieved under the extreme condition.