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Journal Articles Annals of Telecommunications - annales des télécommunications Year : 2009

Model-based similarity estimation of multidimensional temporal sequences

Romain Tavenard
Guillaume Gravier
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  • IdRef : 110355415

Abstract

Content-based queries in multimedia sequence databases where information is sequential is a tough issue, especially when dealing with large-scale applications. One of the key points is similarity estimation between a query sequence and elements of the database. In this paper, we investigate two ways to compare multimedia sequences, one-that comes from the literature-being computed in the feature space while the other one is computed in a model space, leading to a representation less sensitive to noise. We compare these approaches by testing them on a real audio dataset, which points out the utility of working in the model space.

Dates and versions

inria-00567877 , version 1 (22-02-2011)

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Romain Tavenard, Laurent Amsaleg, Guillaume Gravier. Model-based similarity estimation of multidimensional temporal sequences. Annals of Telecommunications - annales des télécommunications, 2009, 64 (5), pp.381-390. ⟨10.1007/s12243-009-0091-4⟩. ⟨inria-00567877⟩
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