Deep Fake Video Detection Using Transfer Learning Approach

The usage of the internet as a fast medium for spreading fake news reinforces the requirement of computational utensils in order to fight for it. Fake videos also called deep fakes that create great intimidation in society in an assortment of social and political behaviour. It can also be utilized f...

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Veröffentlicht in:	Arabian journal for science and engineering Jg. 48; H. 8; S. 9727 - 9737
Hauptverfasser:	Suratkar, Shraddha, Kazi, Faruk
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023 Springer Nature B.V
Schlagworte:	Algorithms Artificial neural networks Computer Engineering and Computer Science Deception Engineering Humanities and Social Sciences Image manipulation Learning Model accuracy multidisciplinary Neural networks Recurrent neural networks Research Article-Computer Engineering and Computer Science Science Video Deep fake detection Recurrent neural networks (RNN) Convolutional neural networks (CNN) Transfer learning Autoencoders Residual images
ISSN:	2193-567X, 1319-8025, 2191-4281
Online-Zugang:	Volltext
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