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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: Kristleifur Dadason , Herwig Lejsek , Fridrik Ásmundsson , Björn Jónsson , Laurent Amsaleg, Videntifier: identifying pirated videos in real-time, Proceedings of the 15th international conference on Multimedia, September 25-29, 2007, Augsburg, Germany [doi>10.1145/1291233.1291346]
• 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.
• 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.
• 4: Herwig Lejsek , Ársæll Þ Jóhannsson , Friðrik H. Ásmundsson , Björn Þ Jónsson , Kristleifur Daðason , Laurent Amsaleg, Videntifier™ forensic: a new law enforcement service for automatic identification of illegal video material, Proceedings of the First ACM workshop on Multimedia in forensics, October 23-23, 2009, Beijing, China [doi>10.1145/1631081.1631087]
• 5: Herwig Lejsek , Fridrik Heidar Ásmundsson , Björn Pór Jónsson , Laurent 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, v.31 n.5, p.869-883, May 2009 [doi>10.1109/TPAMI.2008.130]

INDEX TERMS

Primary Classification:
  K. Computing Milieux
  K.4 COMPUTERS AND SOCIETY
      K.4.1 Public Policy Issues
          Subjects: Abuse and crime involving computers

Additional Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.4 Systems
          Subjects: Multimedia databases

General Terms:
Algorithms, Performance

Keywords:
robustness, scalability, video detection