Autoencoder with recurrent neural networks for video forgery detection

29 Aug 2017Dario D'AvinoDavide CozzolinoGiovanni PoggiLuisa Verdoliva

Video forgery detection is becoming an important issue in recent years, because modern editing software provide powerful and easy-to-use tools to manipulate videos. In this paper we propose to perform detection by means of deep learning, with an architecture based on autoencoders and recurrent neural networks... (read more)

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