Three-dimensional Region Forgery Detection and Localization in Videos

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Xuan Hau Nguyen 1,2,* Yongjian Hu 1 Muhmmad Ahmad Amin 1 Khan Gohar Hayat 1 Van Thinh Le 2 Dinh Tu Truong 3

1. School of Electronics and Information Engineering, South China University of Technology, Guangzhou 510640, P.R.China.

2. Faculty Electronics of and Informatics Engineering Mien Trung Industrial and Trade College, Phu Yen 620000, Vietnam

3. Faculty of Information Technology Ton Duc Thang University, Ho Chi Minh 700000, Vietnam

* Corresponding author.


Received: 29 Sep. 2019 / Revised: 9 Oct. 2019 / Accepted: 28 Oct. 2019 / Published: 8 Dec. 2019

Index Terms

Passive forensics, three-dimensional regions duplication, video forensics, video forgery detection, video authenticity


Nowadays, with the extensive use of cameras in many areas of life, every day millions of videos are uploaded on the internet. In addition, with rapidly developing video editing software applications, it has become easier to forge any video. These software applications have made it challenging to detect forged videos, especially with forged videos have duplication of three-dimensional (3-D) regions. Recently, there has been increased interest in detecting forged videos, but there are very limited studies to detect forged videos which were duplicated 3-D regions. So, our research focused on this weakness and proposed a new method, which can be used for detecting and locating 3-D duplicated regions in videos based on the phase-correlation of 3-D regions residual more efficiently. To evaluate the efficiency of the proposed method, we experimented with two realistic datasets VFDD-3D and REWIND-3D. The results of the experiments proved that the proposed method is efficient and robust for detecting small 3-D regions duplication and frame sequences duplication, especially localization of duplication forgery in videos has shown impressive results.

Cite This Paper

Xuan Hau Nguyen, Yongjian Hu, Muhmmad Ahmad Amin, Khan Gohar Hayat, Van Thinh Le, Dinh Tu Truong, " Three-dimensional Region Forgery Detection and Localization in Videos", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.12, pp. 1-13, 2019. DOI: 10.5815/ijigsp.2019.12.01


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