Back to articles
Articles
Volume: 33 | Article ID: art00002
Image
Detecting Deepfakes with Haralick’s Texture Properties
  DOI :  10.2352/ISSN.2470-1173.2021.4.MWSF-271  Published OnlineJanuary 2021
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.

Subject Areas :
Views 77
Downloads 26
 articleview.views 77
 articleview.downloads 26
  Cite this article 

Raphael Antonius Frick, Sascha Zmudzinski, Martin Steinebach, "Detecting Deepfakes with Haralick’s Texture Propertiesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Media Watermarking, Security, and Forensics,  2021,  pp 271-1 - 271-7,  https://doi.org/10.2352/ISSN.2470-1173.2021.4.MWSF-271

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2021
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA