Chroma key background detection for digital video using statistical correlation of blurring artifact

Bagiwa, Mustapha Aminu, Wahab, Ainuddin Wahid Abdul, Idris, Mohd Yamani Idna, Khan, Suleman and Choo, Kim-Kwang Raymond (2016) Chroma key background detection for digital video using statistical correlation of blurring artifact. Digital Investigation, 19. pp. 29-43. ISSN 1742-2876

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.diin.2016.09.001

Abstract

Video editing software can be used to combine different videos into one video using the chroma key feature. However, detecting such video manipulation is an understudied topic. Digital forgers may present a manipulated video from chroma key composition as evidence in court, thus creating a severe problem. In this paper, we propose a blind detection technique designed to analyze the statistical correlation of blurring artifact extracted from a digital video. This technique allows us to detect chroma key forgery in a manipulated composite video. Findings from our experiments demonstrate that the proposed detection technique can adequately determine the presence of manipulation on a video using chroma key, with a true positive detection rate of 91.12% and a false positive detection rate of 1.95%.

Item Type: Article
Uncontrolled Keywords: Chroma key, Green screen, Correlation of blurring artifact, Video composition
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 21 Oct 2019 13:20
Last Modified: 21 Oct 2019 13:20
URI: http://nrl.northumbria.ac.uk/id/eprint/41178

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