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A Realistic Framework for Counter-terrorism in Multimedia

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Handbook of Computational Approaches to Counterterrorism

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Abstract

The internet has become an easy platform for video broadcasting by providing an inexpensive but weak publishing barrier to everyone and eventually attracting the huge audience. Terrorists make use of videos as an efficient medium for spreading their message; showing violence to attract sympathies, terrify viewers and promoting radicalization; videos act as an important weapon towards their mission. Existing internet security solutions and blocking methods rely on textual data and lack analysis of visual content. In this paper, we propose a novel framework that can realistically automate the screening of such videos using visual content analysis and consequently alert the authorities. After examining existing discrete definitions of violence, we classify the broad spectrum of violence in videos into four streams which serve as the core functions of the proposed system. The system is capable of evaluating the semantic context as well as the extent of violence in the videos. Being fully automatic and comprehensive, the system works efficiently and more effectively in comparison to any existing systems proving itself as a powerful combating tool in controlling the means and effects of this mode of terrorism.

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Notes

  1. 1.

    No children under 17 (NC-17), www.en.wikipedia.org/wiki/List_of_NC-17_rated_films.

  2. 2.

    Movies that are restricted for children or require parental check/guideline.

  3. 3.

    Many of these videos were later removed from the video sharing sites after user complaints and flagging.

  4. 4.

    See www.wikipedia.org for explanation of these terms.

  5. 5.

    TRECVID is a worldwide competition organized annually by the National Institute of Standards and Technology, USA. It provides large video datasets to participants for performing experiments for various tasks of the video analysis process. It has served as a platform leading to state of the art technologies. See more at: http://trecvid.nist.gov/

  6. 6.

    Available at: http://www.anvil-software.de

  7. 7.

    http://www.ee.bilkent.edu.tr/~signal/VisiFire/index.html

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Authors and Affiliations

  1. The Maersk McKinney Moller Institute University of Southern Denmark, Odense, Denmark

    Durat-ul-Ain Mirza & Nasrullah Memon

Authors
  1. Durat-ul-Ain Mirza
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  2. Nasrullah Memon
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Correspondence to Nasrullah Memon .

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Editors and Affiliations

  1. , Computer Science Department, University of Maryland, AV Williams Building, College Park, 20854, Maryland, USA

    V.S. Subrahmanian

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Mirza, DuA., Memon, N. (2013). A Realistic Framework for Counter-terrorism in Multimedia. In: Subrahmanian, V. (eds) Handbook of Computational Approaches to Counterterrorism. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5311-6_19

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  • DOI: https://doi.org/10.1007/978-1-4614-5311-6_19

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  • Print ISBN: 978-1-4614-5310-9

  • Online ISBN: 978-1-4614-5311-6

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