TY - JOUR
T1 - Chroma key background detection for digital video using statistical correlation of blurring artifact
AU - Aminu Bagiwa, Mustapha
AU - Wahid Abdul Wahab, Ainuddin
AU - Idna Idris, Mohd. Yamani
AU - Khan, Suleman
AU - Raymond Choo, Kim-Kwang
PY - 2016/12
Y1 - 2016/12
N2 - 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%.
AB - 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%.
KW - Chroma key
KW - Green screen
KW - Correlation of blurring artifact
KW - Video composition
U2 - 10.1016/j.diin.2016.09.001
DO - 10.1016/j.diin.2016.09.001
M3 - Article
VL - 19
SP - 29
EP - 43
JO - Digital Investigation
JF - Digital Investigation
SN - 1742-2876
ER -