An Intelligent based Motion Estimation with Initial Search Center Prediction

ISSN: 1877-6124 (Online)
ISSN: 2210-6863 (Print)

Volume 5, 2 Issues, 2015

Download PDF Flyer

Recent Patents on Signal Processing

Aims & ScopeAbstracted/Indexed in

Submit Abstracts Online Submit Manuscripts Online

Zeev Zalevsky
School of Engineering
Bar-Ilan University

View Full Editorial Board

Subscribe Purchase Articles Order Reprints

An Intelligent based Motion Estimation with Initial Search Center Prediction

Author(s): S. Immanuel Alex Pandian and G. Josemin Bala

Affiliation: Assistant Professor, ECE Dept., Karunya University.


Block matching motion estimation is a popular method in developing video coding applications. The use of fixed pattern prevents the motion estimation algorithms from locating the actual position of the global distortion minimum. Hence, to address the problem of local optima in motion estimation, it can be viewed as an optimization process to find the best matching block with reduced number of search points which is solved by the PSO technique. Due to the center biased nature of the videos, the proposed approach uses an initial pattern to speed up the convergence of the algorithm. To further improve the performance an initial search center prediction and early termination are integrated with pattern based PSO. Simulation results show that the proposed approach has significantly reduced the number of search points when compared to other fixed pattern fast block matching algorithms, without degradation in quality. In this paper we have considered several recent patents “Motion estimation methods and systems in video encoding for battery-powered appliances”, “Motion estimation for mobile device user interaction”, “Simple next search position selection for motion estimation iterative search”.

Keywords: Early termination, initial search center prediction, motion estimation, pattern based PSO

Purchase Online Order Reprints Order Eprints Rights and Permissions


Article Details

Volume: 4
First Page: 1
Last Page: 9
Page Count: 9
DOI: 10.2174/2210686304666140820011742

Related Journals

Webmaster Contact: Copyright © 2015 Bentham Science