Videntifier" Forensic: large-scale video identification in practice

MiFor '10 Pub Date : 2010-10-29 DOI:10.1145/1877972.1877973
Herwig Lejsek, Hrönn Þormóðsdóttir, F. Ásmundsson, Kristleifur Daðason, Á. Jóhannsson, B. Jónsson, L. Amsaleg
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引用次数: 8

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.
“取证”:大规模视频识别的实践
识别被查获的硬盘驱动器和其他存储设备上的视频对法医调查人员来说是一项非常繁琐和耗时的任务。特别是,互联网上大量的可用材料和当今硬盘的大存储容量已经成为他们非常头疼的问题。“法医”是一项最新的法医视频识别服务,它基于最先进的高维描述符和高维索引。在本文中,我们描述了鉴别器“法医”如何处理非常大的视频材料集合,以及它对标准修改的健壮性。然后,我们提出了涉及四种不同数据集和三种多达25,000小时视频内容的收集大小的测量。我们的研究结果表明,无论是在服务的效率还是有效性方面,“身份验证者”的“取证”规模都非常好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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