Blotch Detection in Archive Films Based on Visual Saliency Map

Joint Authors

Aydin, Yildiz
Dizdaroğlu, Bekir

Source

Complexity

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

Philosophy

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