research-article

Videntifier™ forensic: a new law enforcement service for automatic identification of illegal video material

Authors:

Herwig Lejsek,

Ársæll Þ Jóhannsson,

Friðrik H. Ásmundsson,

Björn Þ Jónsson,

Kristleifur Daðason,

Laurent AmsalegAuthors Info & Claims

MiFor '09: Proceedings of the First ACM workshop on Multimedia in forensics

Pages 19 - 24

https://doi.org/10.1145/1631081.1631087

Published: 23 October 2009 Publication History

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Abstract

Tracking down producers and distributors of offensive video material, in particular child pornography, has become an ever growing focus of the world's law enforcement agencies. We describe Videntifier Forensic, a new service which radically improves the forensic video identification process, by providing law enforcement agencies with a robust, fast and easy-to-use video identification system. Using this service, a single mouse-click is sufficient to automatically scan an entire storage device and classify all videos. We give an overview of the service and the underlying technology components. We then describe an acceptance test, performed by the Icelandic police forces, which demonstrates the robustness of the service.

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Cited By

View all

Açar K(2019)Framework for a Single Global Repository of Child Abuse MaterialsGlobal Policy10.1111/1758-5899.1273911:1(178-190)Online publication date: 17-Oct-2019
https://doi.org/10.1111/1758-5899.12739
Luttenberger SCreutzburg RJónsson B(2015)Presentation of a Web service for video identification based on Videntifier techniquesMobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 201510.1117/12.2083155(94110T)Online publication date: 11-Mar-2015
https://doi.org/10.1117/12.2083155
Yannikos YAshraf NSteinebach MWinter C(2013)Automating Video File Carving and Content IdentificationAdvances in Digital Forensics IX10.1007/978-3-642-41148-9_14(195-212)Online publication date: 2013
https://doi.org/10.1007/978-3-642-41148-9_14
Show More Cited By

Index Terms

Videntifier™ forensic: a new law enforcement service for automatic identification of illegal video material
1. Information systems
  1. Information systems applications
    1. Multimedia information systems
      1. Multimedia databases
2. Social and professional topics
  1. Computing / technology policy
    1. Computer crime

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Information & Contributors

Information

Published In

MiFor '09: Proceedings of the First ACM workshop on Multimedia in forensics

October 2009

74 pages

ISBN:9781605587554

DOI:10.1145/1631081

General Chairs:
Rita Cucchiara
University of Modena and Reggio Emilia, Italy
,
Marcel Worring
University of Amsterdam, The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2009

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MM09

Sponsor:

SIGMM

MM09: ACM Multimedia Conference

October 23, 2009

Beijing, China

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Citations

Cited By

View all

Açar K(2019)Framework for a Single Global Repository of Child Abuse MaterialsGlobal Policy10.1111/1758-5899.1273911:1(178-190)Online publication date: 17-Oct-2019
https://doi.org/10.1111/1758-5899.12739
Luttenberger SCreutzburg RJónsson B(2015)Presentation of a Web service for video identification based on Videntifier techniquesMobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 201510.1117/12.2083155(94110T)Online publication date: 11-Mar-2015
https://doi.org/10.1117/12.2083155
Yannikos YAshraf NSteinebach MWinter C(2013)Automating Video File Carving and Content IdentificationAdvances in Digital Forensics IX10.1007/978-3-642-41148-9_14(195-212)Online publication date: 2013
https://doi.org/10.1007/978-3-642-41148-9_14
Yin HHui WLi HLin CZhu W(2012)A Novel Large-Scale Digital Forensics Service Platform for Internet VideosIEEE Transactions on Multimedia10.1109/TMM.2011.217055614:1(178-186)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1109/TMM.2011.2170556
Lejsek HÞormóðsdóttir HÁsmundsson FDaðason KJóhannsson ÁJónsson BAmsaleg LBattiato SEmmanuel SUlges AWorring M(2010)Videntifier" ForensicProceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence10.1145/1877972.1877973(1-6)Online publication date: 29-Oct-2010
https://dl.acm.org/doi/10.1145/1877972.1877973
Ásmundsson FLejsek HDaðason KJónsson BAmsaleg LGao WRui YHanjalic AXu CSteinbach EEl Saddik AZhou M(2009)Videntifier™ forensicProceedings of the 17th ACM international conference on Multimedia10.1145/1631272.1631488(999-1000)Online publication date: 23-Oct-2009
https://dl.acm.org/doi/10.1145/1631272.1631488

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Videntifier™ forensic: robust and efficient detection of illegal multimedia

Videntifier" Forensic: large-scale video identification in practice

Videntifier: identifying pirated videos in real-time