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Detection of A Facial Forgery Video with MesoNet

  • Unique Paper ID: 156985
  • Volume: 9
  • Issue: 5
  • PageNo: 570-577
  • Abstract:
  • This paper gives a technique to routinely and correctly locate face tampering in films, and specifically makes a speciality of current strategies used to generate hyper sensible cast films: Deepfake and Face2Face. Traditional photo forensics strategies are normally now no longer nicely ideal to films because of the compression that strongly degrades the data. Thus, this paper follows a deep getting to know technique and gives networks, each with a low quantity of layers to attention at the mesoscopic residences of images. We examine the ones rapid networks on each present dataset and a dataset we've got constituted from on-line films. The assessments reveal a completely a hit detection fee with extra than 98.4% for Deepfake and 95.3% for Face2Face.
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  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 5
  • PageNo: 570-577

Detection of A Facial Forgery Video with MesoNet

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