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.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 |
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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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