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

Mustapha Aminu Bagiwa, Ainuddin Wahid Abdul Wahab, Mohd. Yamani Idna Idris, Suleman Khan, Kim-Kwang Raymond Choo

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

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%.
Original languageEnglish
Pages (from-to)29-43
Number of pages15
JournalDigital Investigation
Volume19
Early online date28 Sep 2016
DOIs
Publication statusPublished - Dec 2016

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