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Detecting Deepfakes with Haralicks Texture Properties

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


Society for Imaging Science and Technology -IS&T-:
IS&T International Symposium on Electronic Imaging Science and Technology 2021. Media Watermarking, Security, and Forensics : January 19-28, 2021, Online
Springfield/Va.: IS&T, 2021
International Symposium on Electronic Imaging Science and Technology (IS&T) <2021, Online>
Conference Paper
Fraunhofer SIT ()
deepfake; Haralick features; multimedia forensics

In the recent years, the detection of deepfake videos has become a major topic in the field of digital media forensics, as the amount of such videos circulating on the internet has drastically risen. Providers of content, such as Facebook and Amazon, have become aware of this new threat to spreading misinformation on the Internet. In this work, a novel forgery detection method based on the texture analysis known from image classification and segmentation is proposed. In the experimental results, its performance has shown to be comparable to related works.