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  4. Detecting Deepfakes with Haralicks Texture Properties
 
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2021
Conference Paper
Title

Detecting Deepfakes with Haralicks Texture Properties

Abstract
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.
Author(s)
Frick, Raphael Antonius
Zmudzinski, Sascha  
Steinebach, Martin  
Mainwork
IS&T International Symposium on Electronic Imaging Science and Technology 2021. Media Watermarking, Security, and Forensics  
Conference
International Symposium on Electronic Imaging Science and Technology (IS&T) 2021  
DOI
10.2352/ISSN.2470-1173.2021.4.MWSF-271
Language
English
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Keyword(s)
  • deepfake

  • Haralick features

  • multimedia forensics

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