Cover Image

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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

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

Similar Items