Chroma key background detection for digital video using statistical correlation of blurring artifact. (December 2016)

• Record Type: Journal Article
• Authors: Bagiwa, Mustapha Aminu; Wahab, Ainuddin Wahid Abdul; Idris, Mohd Yamani Idna; Khan, Suleman; Choo, Kim-Kwang Raymond
• Is Part Of: Digital investigation. Volume 19(2016)
• Page Start: 29
• Page End: 43
• Publication Date: 2016-12
• Subjects: Chroma key -- Green screen -- Correlation of blurring artifact -- Video composition; Forensic sciences -- Data processing -- Periodicals; Criminal investigation -- Data processing -- Periodicals; 363.250285
• DOI: 10.1016/j.diin.2016.09.001
• Languages: English
• ISSNs: 1742-2876

Abstract

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%. Graphical abstract: Highlights: Chroma key forgery detection in digital videos. Technique relies on correlation of blurring artifact extracted from a digital video. Technique achieving detection accuracy of 91.12% for chroma key forgery. Technique applicable to both compressed and non-compressed videos.