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| HAL: inria-00070421, version 1 |
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| Comparison of video dynamic contents without feature matching by using rank-tests |
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| Alain Lehmann 1Patrick Bouthemy 2 |
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| (2005) |
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| This report presents a novel and efficient dissimilarity measure between video segments. We consider local spatio-temporal descriptors. They are considered to be realizations of an unknown, but class-specific distribution. The similarity of two video segments is calculated by evaluating an appropriate statistic issued from a rank test. It does not require any matching of the local features between the two considered video segments, and can deal with a different number of computed local features in the two segments. Furthermore, our measure is self-normalized which allows for simple cue integration, and even on-line adapted class-dependent combination of the different descriptors. Satisfactory results have been obtained on real video sequences for two motion event recognition problems. |
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| 1: | INRIA Sophia Antipolis (INRIA Sophia Antipolis) |
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INRIA |
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| 2: | VISTA (INRIA - IRISA) |
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CNRS : UMR6074 – INRIA – Université de Rennes 1 – Institut National des Sciences Appliquées (INSA) |
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| 3: | Institut de Recherche Mathématique de Rennes (IRMAR) |
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CNRS : UMR6625 – Université de Rennes 1 – École normale supérieure de Cachan - ENS Cachan – Institut National des Sciences Appliquées (INSA) : - RENNES – Université de Rennes II - Haute Bretagne |
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| Domain | : | Computer Science/Other |
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| Dissimilarity measure – rank test – video sequence comparison |
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| inria-00070421, version 1 | |
| http://hal.inria.fr/inria-00070421 | |
| oai:hal.inria.fr:inria-00070421 | |
| From: Rapport De Recherche Inria | |
| Submitted on: Friday, 19 May 2006 20:26:39 | |
| Updated on: Wednesday, 24 March 2010 14:31:27 | |
