Deepfakes: temporal sequential analysis to detect face-swapped video clips using convolutional long short-term memory-Reference-Cited by-同舟云学术

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Deepfakes: temporal sequential analysis to detect face-swapped video clips using convolutional long short-term memory

Published:2020-06-08 Issue:03 Volume:29 Page:1
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Kaur Sawinder¹,Kumar Parteek²,Kumaraguru Ponnurangam³

Affiliation:

1. Thapar Institute of Engineering and Technology, Doctoral Research Lab-II, Department of Computer Sci

2. Thapar Institute of Engineering and Technology, Department of Computer Science and Engineering, Pati

3. Indraprastha Institute of Information Technology, Department of Computer Science and Engineering, Ne

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review on deepfake generation and detection: bibliometric analysis;Multimedia Tools and Applications;2024-03-18

2. Optifake: optical flow extraction for deepfake detection using ensemble learning technique;Multimedia Tools and Applications;2024-02-26

3. Design and Implement Deepfake Video Detection Using VGG‐16 and Long Short‐Term Memory;Applied Computational Intelligence and Soft Computing;2024-01

4. Self-Information Forgery Mining for Face Forgery Detection;Applied Mathematics and Nonlinear Sciences;2024-01-01

5. Detection of Fake URLs Using Deep LSTM Architecture over Social Media;Lecture Notes in Networks and Systems;2024

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