2 May 2006 Content-based video indexing and searching with wavelet transformation
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Biometric databases form an essential tool in the fight against international terrorism, organised crime and fraud. Various government and law enforcement agencies have their own biometric databases consisting of combination of fingerprints, Iris codes, face images/videos and speech records for an increasing number of persons. In many cases personal data linked to biometric records are incomplete and/or inaccurate. Besides, biometric data in different databases for the same individual may be recorded with different personal details. Following the recent terrorist atrocities, law enforcing agencies collaborate more than before and have greater reliance on database sharing. In such an environment, reliable biometric-based identification must not only determine who you are but also who else you are. In this paper we propose a compact content-based video signature and indexing scheme that can facilitate retrieval of multiple records in face biometric databases that belong to the same person even if their associated personal data are inconsistent. We shall assess the performance of our system using a benchmark audio visual face biometric database that has multiple videos for each subject but with different identity claims. We shall demonstrate that retrieval of relatively small number of videos that are nearest, in terms of the proposed index, to any video in the database results in significant proportion of that individual biometric data.
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Florian Stumpf, Naseer Al-Jawad, Hongbo Du, Sabah Jassim, "Content-based video indexing and searching with wavelet transformation", Proc. SPIE 6250, Mobile Multimedia/Image Processing for Military and Security Applications, 62500Q (2 May 2006); doi: 10.1117/12.668365; https://doi.org/10.1117/12.668365

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