13 April 2017 Efficient region-based approach for blotch detection in archived video using texture information
Hamza Yous, Amina Serir
Author Affiliations +
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 1017-9909/2017/$25.00 © 2017 SPIE and IS&T
Hamza Yous and Amina Serir "Efficient region-based approach for blotch detection in archived video using texture information," Journal of Electronic Imaging 26(2), 023019 (13 April 2017). https://doi.org/10.1117/1.JEI.26.2.023019
Received: 10 October 2016; Accepted: 27 March 2017; Published: 13 April 2017
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Video

Sensors

Image segmentation

Motion estimation

Detection and tracking algorithms

Video processing

Digital filtering

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