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Videntifier" Forensic: large-scale video identification in practice

Published:29 October 2010Publication History

ABSTRACT

Identifying videos on seized hard drives and other storage devices is a very tedious and time consuming task for forensic investigators. In particular, the vast amount of available material on the Internet and the large storage capacities of today's hard drives have become a strong headache for them. Videntifier" Forensic is a recent service for forensic video identification, which is based on state-of-the-art high-dimensional descriptors and high-dimensional indexing. In this paper we describe how Videntifier" Forensic tackles very large collections of video material and how robust it is towards standard modifications. We then present measurements that involve four different datasets and three collection sizes of up to 25,000 hours of video content. Our results show that Videntifier" Forensic scales very well, both in terms of the efficiency and effectiveness of the service.

References

  1. F. H. Ásmundsson, H. Lejsek, K. Daðason, B. T. Jónsson, and L. Amsaleg. Videntifier Forensic: Robust and efficient detection of illegal multimedia. Proc. ACM Multimedia (demo paper), Beijing, China, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. K. Daðason, H. Lejsek, B. T. Jónsson, and L. Amsaleg. Full GPU acceleration of Eff2 descriptors using CUDA. Proc. ACM Multimedia, Firenze, Italy, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. H. Lejsek, F. H. Ásmundsson, B. T. Jónsson, and L. Amsaleg. NV-tree: An efficient disk-based index for approximate search in very large high-dimensional collections. IEEE TPAMI, 31(5):869--883, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91--110, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. MUSCLE Video Copy Detection Evaluation Benchmark. www-rocq.inria.fr/imedia/civr-bench.Google ScholarGoogle Scholar
  6. H. Lejsek, Á. Jóhannsson, F. Ásmundsson, B. Jónsson, K. Daðason, and L. Amsaleg. VidentifierTM Forensic: a new law enforcement service for automatic identification of illegal video material, Proc. MiFor, Beijing, China, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Conferences
        MiFor '10: Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
        October 2010
        134 pages
        ISBN:9781450301572
        DOI:10.1145/1877972

        Copyright © 2010 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 29 October 2010

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