Chroma key background detection for digital video using statistical correlation of blurring artifact
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 pr...
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Elsevier
2016
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author | Bagiwa, M.A. Wahab, A.W.A. Idris, M.Y.I. Khan, S. Choo, K.K.R. |
author_facet | Bagiwa, M.A. Wahab, A.W.A. Idris, M.Y.I. Khan, S. Choo, K.K.R. |
author_sort | Bagiwa, M.A. |
collection | UM |
description | 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%. |
first_indexed | 2024-03-06T05:45:24Z |
format | Article |
id | um.eprints-18432 |
institution | Universiti Malaya |
last_indexed | 2024-03-06T05:45:24Z |
publishDate | 2016 |
publisher | Elsevier |
record_format | dspace |
spelling | um.eprints-184322017-12-05T01:35:54Z http://eprints.um.edu.my/18432/ Chroma key background detection for digital video using statistical correlation of blurring artifact Bagiwa, M.A. Wahab, A.W.A. Idris, M.Y.I. Khan, S. Choo, K.K.R. QA75 Electronic computers. Computer science 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%. Elsevier 2016 Article PeerReviewed 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 <https://doi.org/10.1016/j.diin.2016.09.001>. https://doi.org/10.1016/j.diin.2016.09.001 doi:10.1016/j.diin.2016.09.001 |
spellingShingle | QA75 Electronic computers. Computer science Bagiwa, M.A. Wahab, A.W.A. Idris, M.Y.I. Khan, S. Choo, K.K.R. Chroma key background detection for digital video using statistical correlation of blurring artifact |
title | Chroma key background detection for digital video using statistical correlation of blurring artifact |
title_full | Chroma key background detection for digital video using statistical correlation of blurring artifact |
title_fullStr | Chroma key background detection for digital video using statistical correlation of blurring artifact |
title_full_unstemmed | Chroma key background detection for digital video using statistical correlation of blurring artifact |
title_short | Chroma key background detection for digital video using statistical correlation of blurring artifact |
title_sort | chroma key background detection for digital video using statistical correlation of blurring artifact |
topic | QA75 Electronic computers. Computer science |
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