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Volume: 32 | Article ID: art00010
Detecting “DeepFakes” in H.264 Video Data Using Compression Ghost Artifacts
  DOI :  10.2352/ISSN.2470-1173.2020.4.MWSF-116  Published OnlineJanuary 2020

In recent years, the number of forged videos circulating on the Internet has immensely increased. Software and services to create such forgeries have become more and more accessible to the public. In this regard, the risk of malicious use of forged videos has risen. This work proposes an approach based on the Ghost effect knwon from image forensics for detecting forgeries in videos that can replace faces in video sequences or change the mimic of a face. The experimental results show that the proposed approach is able to identify forgery in high-quality encoded video content.

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Raphael Antonius Frick, Sascha Zmudzinski, Martin Steinebach, "Detecting “DeepFakes” in H.264 Video Data Using Compression Ghost Artifactsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Media Watermarking, Security, and Forensics,  2020,  pp 116-1 - 116-7,

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