Bagiwa, M.A. and Wahab, A.W.A. and Idris, M.Y.I. and Khan, S. and Choo, K.K.R. (2016) Chroma key background detection for digital video using statistical correlation of blurring artifact. Digital Investigation, 19. pp. 29-43. ISSN 1742-2876, DOI https://doi.org/10.1016/j.diin.2016.09.001.
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 |
|---|---|
| Funders: | Ministry of Education, Malaysia: University of Malaya High Impact Research Grant UM.C/625/1/HIR/MoE/FCSIT/17, Ahmadu Bello University, Zaria Nigeria: Tertiary Education Trust Fund (TETFund) |
| Uncontrolled Keywords: | Chroma key; Green screen; Correlation of blurring artifact; Video composition |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 05 Dec 2017 01:35 |
| Last Modified: | 05 Dec 2017 01:35 |
| URI: | http://eprints.um.edu.my/id/eprint/18432 |
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