A Fast Block Matching Algorithm for Video Motion Estimation Based on Particle Swarm Optimization and Motion Prejudgment
<|reference_start|>A Fast Block Matching Algorithm for Video Motion Estimation Based on Particle Swarm Optimization and Motion Prejudgment: In this paper, we propose a fast 2-D block-based motion estimation algorithm called Particle Swarm Optimization - Zero-motion Prejudgment(PSO-ZMP) which consists of three sequential routines: 1)Zero-motion prejudgment. The routine aims at finding static macroblocks(MB) which do not need to perform remaining search thus reduces the computational cost; 2)Predictive image coding and 3)PSO matching routine. Simulation results obtained show that the proposed PSO-ZMP algorithm achieves over 10 times of computation less than Diamond Search(DS) and 5 times less than the recent proposed Adaptive Rood Pattern Searching(ARPS). Meanwhile the PSNR performances using PSO-ZMP are very close to that using DS and ARPS in some less-motioned sequences. While in some sequences containing dense and complex motion contents, the PSNR performances of PSO-ZMP are several dB lower than that using DS and ARPS but in an acceptable degree.<|reference_end|>
@article{ren2006a,
    title={A Fast Block Matching Algorithm for Video Motion Estimation Based on
  Particle Swarm Optimization and Motion Prejudgment},
    author={Ran Ren, Madan mohan Manokar, Yaogang Shi, Baoyu Zheng},
    journal={arXiv preprint arXiv:cs/0609131},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0609131},
    primaryClass={cs.MM}
}