Studente Rossi, Gianmaria
Facoltà/Dipartimento Scuola di Ingegneria
Corso di studio ICT FOR INTERNET AND MULTIMEDIA - INGEGNERIA PER LE COMUNICAZIONI MULTIMEDIALI E INTERNET
Anno Accademico 2020-01-07
Titolo originale Face forgery detection using conditional GAN
Abstract Face forgery in videos is an increasing threat due to an easy access to manipulation tools. This work propose a Deep Learning approach to generate a mask showing the region of a tampered face. A Conditional Generative Adversarial Network is used,a total of 16 features are extracted from the video and used as input of the network. This method is tested on videos from YouTube and a dataset from Google and Jigsaw. The results are extremely promising, although there is still room for improvements.
Parola chiave multimedia, video forgery, deepfake, neural networks, GAN
Relatore Milani, Simone
Correlatore Fontani, Marco
Appare nelle tipologie: Lauree magistrali
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12608/28846