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Digital Video Stabilization Verification Based on Genetic Algorithm Template MatchingPAVLOVIC, M.   , BANJAC, Z. , KOVACEVIC, B. |
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Author keywords
formal verification, genetic algorithms, image motion analysis, multispectral imaging, pattern matching
References keywords
video(15), stabilization(11), systems(9), algorithm(8), genetic(7), algorithms(6), sensors(5), image(5), optical(4), matching(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2022-05-31
Volume 22, Issue 2, Year 2022, On page(s): 53 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.02007
Web of Science Accession Number: 000810486800007
SCOPUS ID: 85131721772
Abstract
Having high precision ground-truth data is a very important factor for the development and evaluation of computer vision algorithms such as digital video stabilization. However, generating this data is time consuming and cost intensive work, requiring a lot of manual effort. In this paper we both propose a way to automatically generate a large amount of accurate data for digital video stabilization verification and provide a comprehensive dataset of video sequences taken from multi-sensor imaging system with different types of disturbances. A novel method for generating verification data is based on genetic algorithm template matching. Paper provides quantitative analysis together with the visual assessment of digital video stabilization performance. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
