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

被引：17

作者：

Bagiwa, Mustapha Aminu ^{[1
,2
]}

Wahab, Ainuddin Wahid Abdul ^{[1
]}

Idris, Mohd Yamani Idna ^{[1
]}

Khan, Suleman ^{[1
]}

Choo, Kim-Kwang Raymond ^{[3
,4
]}

机构：

[1] Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur, Malaysia

[2] Ahmadu Bello Univ, Fac Sci, Dept Math, Zaria, Nigeria

[3] Univ Texas San Antonio, Dept Informat Syst & Cyber Secur, San Antonio, TX USA

[4] Univ South Australia, Sch Informat Technol & Math Sci, Informat Assurance Res Grp, Adelaide, SA 5001, Australia

来源：

DIGITAL INVESTIGATION | 2016年 / 19卷

关键词：

Chroma key; Green screen; Correlation of blurring artifact; Video composition; FORGERIES;

D O I：

10.1016/j.diin.2016.09.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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%. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：29 / 43

页数：15

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