Title :
Subsampling Based Computation-Aware Motion Estimation
Author :
Chi-Kao Chang ; Min-Yuan Fang ; I-Chang Jou ; Nai-Chung Yang ; Chung-Ming Kuo
Author_Institution :
Dept. of Inf. Eng., I-Shou Univ., Kaohsiung, Taiwan
Abstract :
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.
Keywords :
image sampling; motion estimation; resource allocation; vectors; CA algorithm; computation power requirement; computational resource allocation; low-distortion based PCDB list; motion vectors; predicted computation-distortion benefit; subsampling based computation-aware motion estimation; visual quality; Algorithm design and analysis; Computational efficiency; Motion estimation; PSNR; Prediction algorithms; Signal processing algorithms; Visualization; Computation-aware (CA); motion estimation; subsampling;
Conference_Titel :
Biometrics and Security Technologies (ISBAST), 2013 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-5010-7
DOI :
10.1109/ISBAST.2013.30