VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces

  title={VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces},
  author={Tai Duy Nguyen and Shengbang Fang and Matthew C. Stamm},
Fake videos represent an important misinformation threat. While existing forensic networks have demonstrated strong performance on image forgeries, recent results reported on the Adobe VideoSham dataset show that these networks fail to identify fake content in videos. In this paper, we show that this is due to video coding, which introduces local variation into forensic traces. In response, we propose VideoFACT - a new network that is able to detect and localize a wide variety of video… 

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