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Videntifier (TM) Forensic: large-scale video identification in practice

Herwig Lejsek 1, 2, * Hrönn Þórmódsdóttir 2 Friðrik-Heidar Heiðar Ásmundsson 2 Ársaell Þór Jóhannsson 2 Kristleifur Daðason 2 Björn Þór Jónsson 1 Laurent Amsaleg 3 
* Corresponding author
3 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
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.
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Submitted on : Monday, January 31, 2011 - 2:42:25 PM
Last modification on : Thursday, January 20, 2022 - 4:18:44 PM



Herwig Lejsek, Hrönn Þórmódsdóttir, Friðrik-Heidar Heiðar Ásmundsson, Ársaell Þór Jóhannsson, Kristleifur Daðason, et al.. Videntifier (TM) Forensic: large-scale video identification in practice. Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence, ACM, Oct 2010, Florence, Italy. ⟨10.1145/1877972.1877973⟩. ⟨inria-00561014⟩



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