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Feature statistical retrieval applied to content-based copy identification

12 years 7 months ago
Feature statistical retrieval applied to content-based copy identification
In many image or video retrieval systems, the search of similar objects in the database includes a spatial access method to a multidimensional feature space. This step is generally considered as a problem independent of the features and the similarity type. The well known multidimensional nearest neighbor search was also widely studied by the database community as a generic method. In this paper, we propose a novel strategy dedicated to pseudo-invariant features retrieval and more specifically applied to content-based copy identification. The range of a query is computed during the search according to deviation statistics between original and observed features. Furthermore, this approximate search range is directly mapped onto a Hilbert space-filling curve allowing an efficient access to the database. Experimental results give excellent response times for very large databases both on synthetic and real data. This work is used in a TV monitoring system including more than 13000 hours o...
Alexis Joly, Carl Frélicot, Olivier Buisson
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2004
Where ICIP
Authors Alexis Joly, Carl Frélicot, Olivier Buisson
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