Detecting Video Forgery by Estimating Extrinsic Camera Parameters

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• 关键词：Forgery detection ; Video forensics ; Extrinsic camera parameter
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9569
• 期：1
• 页码：28-38
• 全文大小：913 KB
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• 作者单位：Xianglei Hu (17)
  Jiangqun Ni (17) (18)
  Runbiao Pan (17)
  
  17. Sun Yat-Sen University, Xingang Xi Road No. 135, Guangzhou, 510275, People’s Republic of China
  18. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, People’s Republic of China
  
• 丛书名：Digital-Forensics and Watermarking
• ISBN：978-3-319-31960-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Nowadays, people can easily combine several videos into a fake one by means of matte painting to create visually convincing video contents. This raises the need to verify whether a video content is original or not. In this paper we propose a geometric technique to detect this kind of tampering in video sequences. In this technique, the extrinsic camera parameters, which describe positions and orientations of camera, are estimated from different regions in video frames. A statistical distribution model is then developed to characterize these parameters in tampering-free video and provides evidences of video forgery finally. The efficacy of the proposed method has been demonstrated by experiments on both authentic and tampered videos from websites.