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Blotch Detection in Archive Films Based on Visual Saliency Map
Joint Authors
Aydin, Yildiz
Dizdaroğlu, Bekir
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-07
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Degradations frequently occur in archive films that symbolize the historical and cultural heritage of a nation.
In this study, the problem of detection blotches commonly encountered in archive films is handled.
Here, a block-based blotch detection method is proposed based on a visual saliency map.
The visual saliency map reveals prominent areas in an input frame and thus enables more accurate results in the blotch detection.
A simple and effective visual saliency map method is taken into consideration in order to reduce computational complexity for the detection phase.
After the visual saliency maps of the given frames are obtained, blotch regions are estimated by considered spatiotemporal patches—without the requirement for motion estimation—around the saliency pixels, which are subjected to a prethresholding process.
Experimental results show that the proposed block-based blotch detection method provides a significant advantage with reducing false alarm rates over HOG feature (Yous and Serir, 2017), LBP feature (Yous and Serir, 2017), and regions-matching (Yous and Serir, 2016) methods presented in recent years.
American Psychological Association (APA)
Aydin, Yildiz& Dizdaroğlu, Bekir. 2020. Blotch Detection in Archive Films Based on Visual Saliency Map. Complexity،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1142643
Modern Language Association (MLA)
Aydin, Yildiz& Dizdaroğlu, Bekir. Blotch Detection in Archive Films Based on Visual Saliency Map. Complexity No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1142643
American Medical Association (AMA)
Aydin, Yildiz& Dizdaroğlu, Bekir. Blotch Detection in Archive Films Based on Visual Saliency Map. Complexity. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1142643
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142643