Back to articles
Volume: 28 | Article ID: art00028
Fake Video Detection Using Facial Color
  DOI :  10.2352/issn.2169-2629.2020.28.27  Published OnlineNovember 2020

The field of image forgery is widely studied, and with the recent introduction of deep networks based image synthesis, detection of fake image sequences has increased the challenge. Specifically, detecting spoofing attacks is of grave importance. In this study we exploit the minute changes in facial color of human faces in videos to determine real from fake videos. Even when idle, human skin color changes with sub-dermal blood flow, these changes are enhanced under stress and emotion. We show that extracting facial color along a video sequence can serve as a feature for training deep neural networks to successfully determine fake vs real face sequences.

Subject Areas :
Views 20
Downloads 5
 articleview.views 20
 articleview.downloads 5
  Cite this article 

Hadas Shahar, Hagit Hel-Or, "Fake Video Detection Using Facial Colorin Proc. IS&T 28th Color and Imaging Conf.,  2020,  pp 175 - 180,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2020
Color and Imaging Conference
color imaging conf
Society for Imaging Science and Technology