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Detecting "DeepFakes" in H.264 Video Data Using Compression Ghost Artifacts

: Frick, Raphael Antonius; Zmudzinski, Sascha; Steinebach, Martin

Fulltext ()

Society for Imaging Science and Technology -IS&T-:
IS&T International Symposium on Electronic Imaging 2020. Media Watermarking, Security, and Forensics. Online resource
Springfield/Va.: IS&T, 2020
Annual Symposium on Electronic Imaging, Science and Technology <2020, Burlingame/Calif.>
Conference Paper, Electronic Publication
Fraunhofer SIT ()
authentication; video; ghosting; deepfake; forensics; H.264

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