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Counter-Terrorism Video Analysis Using Hash-Based Algorithms

1
BISITE Digital Innovation Hub, University of Salamanca, Edificio Multiusos I+D+i, Calle Espejo 2, 37007 Salamanca, Spain
2
Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
3
Pusat Komputeran dan Informatik, Universiti Malaysia Kelantan, Karung Berkunci 36, Pengkaan Chepa, Kota Bharu 16100, Kelantan
*
Author to whom correspondence should be addressed.
Algorithms 2019, 12(5), 110; https://doi.org/10.3390/a12050110
Received: 15 April 2019 / Revised: 14 May 2019 / Accepted: 20 May 2019 / Published: 24 May 2019
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Abstract

The Internet is becoming a major source of radicalization. The propaganda efforts of new extremist groups include creating new propaganda videos from fragments of old terrorist attack videos. This article presents a web-scraping method for retrieving relevant videos and a pHash-based algorithm which identifies the original content of a video. Automatic novelty verification is now possible, which can potentially reduce and improve journalist research work, as well as reduce the spreading of fake news. The obtained results have been satisfactory as all original sources of new videos have been identified correctly. View Full-Text
Keywords: video processing; image matching; big data; software tool video processing; image matching; big data; software tool
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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García-Retuerta, D.; Bartolomé, Á.; Chamoso, P.; Corchado, J.M. Counter-Terrorism Video Analysis Using Hash-Based Algorithms. Algorithms 2019, 12, 110.

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