Multi‐objective genetic algorithm on hexagonal search for fast motion estimation-Reference-Cited by-同舟云学术

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Multi‐objective genetic algorithm on hexagonal search for fast motion estimation

Published:2019-08-02 Issue:11 Volume:13 Page:1892-1902
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Palaniraj Palanivel¹,Sakthivel Ganesan¹

Affiliation:

1. Department Electronics and instrumentation EngineeringAnnamalai UniversityAnnamalai Nagar608002TamilnaduIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5918

Reference23 articles.

1. On fast and accurate block‐based motion estimation algorithms using particle swarm optimization;Cai J.;Inf. Sci.,2012

2. Motion estimation based on artificial fish‐swarm in H.264/AVC coding;Fei C.;WSEAS Trans. Signal Process.,2014

3. 2010 12th Int. Conf. on Computer Modelling and Simulation Cambridge UK M. A. Kakhki D. S. Javan O. H. Ghouchani Motion estimation using the gradient method by genetic algorithm 252 255

4. A genetic algorithm for motion estimation;El Ouaazizi A.;IJCSNS Int. J. Comput. Sci. Network Security,2011

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