Subsampling Based Computation-Aware Motion Estimation
Chi-Kao Chang, Min-Yuan Fang, I‐Chang Jou, Nai-Chung Yang, Chung‐Ming Kuo · 2013
Computation-aware (CA) scheme has been proposed to efficiently allocate computational resources. However, the computations of motion estimation could be overloaded in limited computing environments, even using the CA algorithms. In this paper, we introduce a method that achieves motion estimation in the extremely insufficient computation power. We proposed a low-distortion based PCDB list to achieve better visual quality. To decrease the computation-power requirement, sub sampling technique is coupled with the proposed algorithm. The proposed method significantly reduces the requirement of computation power in computing motion vectors. Satisfactory visual quality can be obtained under the extreme condition.