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Using cascade CNN-LSTM-FCNs to identify AIaltered video based on eye state sequence

Deep learning is notably successful in data analysis, computer vision, and human control. Nevertheless, this approach has inevitably allowed the development of DeepFake video sequences and images that could be altered so that the changes are not easily or explicitly detectable. Such alterations have...

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Bibliographic Details
Main Authors:	Muhammad Salihin, Saealal, Mohd Zamri, Ibrahim, Mulvaney, David J., Mohd Ibrahim, Shapiai, Norasyikin, Fadilah
Format:	Article
Language:	English
Published:	Public Library of Science 2022
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/42755/1/Using%20cascade%20CNN-LSTM-FCNs%20to%20identify%20AIaltered%20video.pdf http://umpir.ump.edu.my/id/eprint/42755/ https://doi.org/10.1371/journal.pone.0278989 https://doi.org/10.1371/journal.pone.0278989
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