demonstration

Videntifier™ forensic: robust and efficient detection of illegal multimedia

Authors:

Friðrik H. Ásmundsson,

Herwig Lejsek,

Kristleifur Daðason,

Björn Þ Jónsson,

Laurent AmsalegAuthors Info & Claims

MM '09: Proceedings of the 17th ACM international conference on Multimedia

Pages 999 - 1000

https://doi.org/10.1145/1631272.1631488

Published: 19 October 2009 Publication History

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Abstract

A large portion of the video material available on the Internet is distributed illegally. In this demonstration we present Videntifier Forensic, a new law enforcement solution for automatically identifying videos and images. Videntifier Forensic is very robust and efficient, even at a very large scale. We encourage ACM Multimedia participants to bring original videos and modified (yet visually acceptable) copies to challenge the capabilities of the system.

References

[1]

K. Daðason, H. Lejsek, F. H. Ásmundsson, B. Þ. Jónsson, and L. Amsaleg. Eff2 Videntifier: Identifying pirated videos in real-time. In Proceedings of ACM Multimedia (demonstration paper), pages 471--472, Augsburg, Germany, 2007.

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[2]

K. Daðason, H. Lejsek, B. T. Þ. Jónsson, and L. Amsaleg. Full {GPU} acceleration of local descriptors using {CUDA}. Technical report, Reykjavík University, 2009.

Google Scholar

[3]

A. Joly, O. Buisson, and C. Frélicot. Content--based copy detection using distortion-based probabilistic similarity search. IEEE Transactions on Multimedia, 9(2):293--306, 2007.

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Google Scholar

[4]

H. Lejsek, F. H. Ásmundsson, K. Daðason, Á. Þ. Jóhannsson, B. Þ. Jónsson, and L. Amsaleg. Videntifier Forensic: A new law enforcement service for automatic identification of illegal video material. In Proc. Multimedia in Forensics (MiFor), Beijing, China, 2009.

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[5]

H. Lejsek, F. H. Ásmundsson, B. Þ. Jónsson, and L. Amsaleg. NV-tree: An efficient disk-based index for approximate search in very large high-dimensional collections. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(5):869--883, 2009.

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Cited By

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Zawali BIkuesan RKebande VFurnell SA-Dhaqm A(2021)Realising a Push Button Modality for Video-Based ForensicsInfrastructures10.3390/infrastructures60400546:4(54)Online publication date: 2-Apr-2021
https://doi.org/10.3390/infrastructures6040054
Shaghaghi AHong JJha SHassan MBegen ATimmerer C(2014)An SDN-based Framework for Detection of Illegal Rebroadcasting of Channels in P2PTVProceedings of the 2014 Workshop on Design, Quality and Deployment of Adaptive Video Streaming10.1145/2676652.2683465(47-49)Online publication date: 2-Dec-2014
https://dl.acm.org/doi/10.1145/2676652.2683465
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
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Index Terms

Videntifier™ forensic: robust and efficient detection of illegal multimedia
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

MM '09: Proceedings of the 17th ACM international conference on Multimedia

October 2009

1202 pages

ISBN:9781605586083

DOI:10.1145/1631272

General Chairs:
Wen Gao
Peking University, China
,
Yong Rui
Microsoft, China
,
Alan Hanjalic
Delft University of Technology, The Netherlands
,
Program Chairs:
Changsheng Xu
Institute of Automation, Chinese Academy of Sciences, China
,
Eckehard Steinbach
Technical University of Munich, Germany
,
Abdulmotaleb El Saddik
University of Ottawa, Canada
,
Michelle Zhou
IBM T. J. Watson Research Center, USA

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2009

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Author Tags

Qualifiers

Demonstration

Conference

MM09

Sponsor:

SIGMM

MM09: ACM Multimedia Conference

October 19 - 24, 2009

Beijing, China

Acceptance Rates

Overall Acceptance Rate 995 of 4,171 submissions, 24%

Upcoming Conference

MM '24

Sponsor:
sigmm

The 32nd ACM International Conference on Multimedia

October 28 - November 1, 2024

Melbourne , VIC , Australia

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Cited By

View all

Zawali BIkuesan RKebande VFurnell SA-Dhaqm A(2021)Realising a Push Button Modality for Video-Based ForensicsInfrastructures10.3390/infrastructures60400546:4(54)Online publication date: 2-Apr-2021
https://doi.org/10.3390/infrastructures6040054
Shaghaghi AHong JJha SHassan MBegen ATimmerer C(2014)An SDN-based Framework for Detection of Illegal Rebroadcasting of Channels in P2PTVProceedings of the 2014 Workshop on Design, Quality and Deployment of Adaptive Video Streaming10.1145/2676652.2683465(47-49)Online publication date: 2-Dec-2014
https://dl.acm.org/doi/10.1145/2676652.2683465
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
Paisitkriangkrai SMei TZhang JHua X(2011)Clip-based hierarchical representation for near-duplicate video detectionInternational Journal of Computer Mathematics10.1080/00207160.2011.59294088:18(3817-3833)Online publication date: Dec-2011
https://doi.org/10.1080/00207160.2011.592940
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
Paisitkriangkrai SMei TZhang JHua XLi SGao XSebe N(2010)Scalable clip-based near-duplicate video detection with ordinal measureProceedings of the ACM International Conference on Image and Video Retrieval10.1145/1816041.1816062(121-128)Online publication date: 5-Jul-2010
https://dl.acm.org/doi/10.1145/1816041.1816062
Lejsek HJóhannsson ÁÁsmundsson FJónsson BDaðason KAmsaleg LCucchiara RWorring M(2009)Videntifier™ forensicProceedings of the First ACM workshop on Multimedia in forensics10.1145/1631081.1631087(19-24)Online publication date: 23-Oct-2009
https://dl.acm.org/doi/10.1145/1631081.1631087

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Videntifier: identifying pirated videos in real-time

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

Videntifier" Forensic: large-scale video identification in practice