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Efficient region-based approach for blotch detection in archived video using texture information

[+] Author Affiliations
Hamza Yous, Amina Serir

University of Science and Technology Houari Boumediene, Electronic and Computer Science Faculty, Department of Telecommunication, El Alia, Bab Ezouar, Algeria

J. Electron. Imaging. 26(2), 023019 (Apr 13, 2017). doi:10.1117/1.JEI.26.2.023019
History: Received October 10, 2016; Accepted March 27, 2017
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Abstract.  We propose a method for blotch detection in archived videos by modeling their spatiotemporal properties. We introduce an adaptive spatiotemporal segmentation to extract candidate regions that can be classified as blotches. Then, the similarity between the preselected regions and their corresponding motion-compensated regions in the adjacent frames is assessed by means of motion trajectory estimation and textural information analysis. Perceived ground truth based on just noticeable contrast is employed for the evaluation of our approach against the state-of-the-art, and the reported results show a better performance for our approach.

© 2017 SPIE and IS&T

Citation

Hamza Yous and Amina Serir
"Efficient region-based approach for blotch detection in archived video using texture information", J. Electron. Imaging. 26(2), 023019 (Apr 13, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.2.023019


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