Fake COVID-19 videos detector based on frames and audio watermarking

With the innovation and development of advanced video editing technology and the widespread use of video information and services in our society, it is increasingly necessary to maintain the reliability of video information. As a result, sensitive video contents in various fields such as surveillanc...

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Detalles Bibliográficos
Autores principales: Tarhouni, Nesrine, Masmoudi, Salma, Charfeddine, Maha, Amar, Chokri Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Regular Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514681/
https://www.ncbi.nlm.nih.gov/pubmed/36185947
http://dx.doi.org/10.1007/s00530-022-01006-5
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author Tarhouni, Nesrine
Masmoudi, Salma
Charfeddine, Maha
Amar, Chokri Ben
author_facet Tarhouni, Nesrine
Masmoudi, Salma
Charfeddine, Maha
Amar, Chokri Ben
author_sort Tarhouni, Nesrine
collection PubMed
description With the innovation and development of advanced video editing technology and the widespread use of video information and services in our society, it is increasingly necessary to maintain the reliability of video information. As a result, sensitive video contents in various fields such as surveillance, medical, and others should be secured against attempts to alter them because malicious modifications could impact decisions based on these videos. In this paper, we present a fake video detector based on combining audio and frames watermarking. Furthermore experimental results demonstrate good robustness and integrity verification results for COVID-19 video news.
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spelling pubmed-95146812022-09-28 Fake COVID-19 videos detector based on frames and audio watermarking Tarhouni, Nesrine Masmoudi, Salma Charfeddine, Maha Amar, Chokri Ben Multimed Syst Regular Paper With the innovation and development of advanced video editing technology and the widespread use of video information and services in our society, it is increasingly necessary to maintain the reliability of video information. As a result, sensitive video contents in various fields such as surveillance, medical, and others should be secured against attempts to alter them because malicious modifications could impact decisions based on these videos. In this paper, we present a fake video detector based on combining audio and frames watermarking. Furthermore experimental results demonstrate good robustness and integrity verification results for COVID-19 video news. Springer Berlin Heidelberg 2022-09-27 2023 /pmc/articles/PMC9514681/ /pubmed/36185947 http://dx.doi.org/10.1007/s00530-022-01006-5 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Regular Paper
Tarhouni, Nesrine
Masmoudi, Salma
Charfeddine, Maha
Amar, Chokri Ben
Fake COVID-19 videos detector based on frames and audio watermarking
title Fake COVID-19 videos detector based on frames and audio watermarking
title_full Fake COVID-19 videos detector based on frames and audio watermarking
title_fullStr Fake COVID-19 videos detector based on frames and audio watermarking
title_full_unstemmed Fake COVID-19 videos detector based on frames and audio watermarking
title_short Fake COVID-19 videos detector based on frames and audio watermarking
title_sort fake covid-19 videos detector based on frames and audio watermarking
topic Regular Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514681/
https://www.ncbi.nlm.nih.gov/pubmed/36185947
http://dx.doi.org/10.1007/s00530-022-01006-5
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