Blotch Detection in Archive Films Based on Visual Saliency Map

Yildiz Aydin,Bekir Dizdaroğlu

doi:10.1155/2020/5965387

Abstract

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.

Highlights

With the archive films that have been used since the last periods of the 17th century, it is aimed to convey the social, cultural, and historical events experienced by societies to future generations
As a result of research studies, the benefits of films have been brought to the forefront and the interest in the film industry has increased rapidly, and this sector has gained an important place in the society. e videos taken during that period were stored with films made of light and sound sensitive materials. e analogue storage method used for the storage and transmission of these films, which is a valuable cultural and historical heritage for today’s societies, does not seem to be a reliable method anymore [1] because these films are likely to be exposed to physical deformations during transport due to poor storage conditions
The proposed method is block-based and compared to the Spike detector index (SDI) [10], which is a simplest pixel-based method, and other block-based methods used in blotch detection problems [1, 11] on five several datasets. e blotch detection system of the proposed method is implemented by using the MATLAB script language on the computer which has i7 CPU and 8 GB RAM

Summary

Introduction

With the archive films that have been used since the last periods of the 17th century, it is aimed to convey the social, cultural, and historical events experienced by societies to future generations. E blotches are usually caused by dust or chemical deterioration that accumulates over time on the films and are characterized by being irregular and approximately constant intensity, dispersed in different spatial locations, creating a temporary discontinuity. In such degraded regions, there is no correlation between the current frame and previous or frames [4–7]. (i) e need to predict the motion around the degraded regions in blotch detection algorithms, but the information in these areas is not safe (ii) e risk of false alarm (FA) rate may impair the original flow of the film (iii) Too much data to be processed to ensure temporal consistency in the film.

Related Studies

Proposed Blotch Detection Method

Experimental Results

Conclusion and Discussion