UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 8
August-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2108365


Registration ID:
314136

Page Number

c938-c943

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Title

DETECTION OF THE AI GENERATED DEEPFAKE VIDEO BY USING MULTI-TASK CASCADED CONVOLUTION NEURAL NETWORK

Abstract

In recent years, deepfake has gained popularity via the creation of deep fake pictures and videos, as well as the detection technique for false videos. There are many methods available for creating a deep fake video, including the generative adversarial network (GAN), which is used to generate false pictures or movies by superimposing different images on top of one another. The discriminator in the GAN is used to identify the generated fake pictures. In this study, we had created a web platform for detecting artificially produced deepfake video using Multi-task Cascaded Convolution Neural Network (MTCNN) and calculating the noise from face landmarks. We achieved an accuracy of 78.8 percent in the experimental environment.

Key Words

Generative Adversarial Networks, Multi-Task Cascaded Convolution Networks algorithm, Deepfake

Cite This Article

"DETECTION OF THE AI GENERATED DEEPFAKE VIDEO BY USING MULTI-TASK CASCADED CONVOLUTION NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.c938-c943, August-2021, Available :http://www.jetir.org/papers/JETIR2108365.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DETECTION OF THE AI GENERATED DEEPFAKE VIDEO BY USING MULTI-TASK CASCADED CONVOLUTION NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppc938-c943, August-2021, Available at : http://www.jetir.org/papers/JETIR2108365.pdf

Publication Details

Published Paper ID: JETIR2108365
Registration ID: 314136
Published In: Volume 8 | Issue 8 | Year August-2021
DOI (Digital Object Identifier):
Page No: c938-c943
Country: SRIRANGAPATNA, KARNATAKA, India .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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