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

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.

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Hadas Shahar, Hagit Hel-Or, "Fake Video Detection Using Facial Colorin Proc. IS&T 28th Color and Imaging Conf.,  2020,  pp 175 - 180,  https://doi.org/10.2352/issn.2169-2629.2020.28.27

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Copyright © Society for Imaging Science and Technology 2020
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Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology