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Reports (Research Report) Year : 2005

Comparison of video dynamic contents without feature matching by using rank-tests

Abstract

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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Other [cs.OH]
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Dates and versions

inria-00070421 , version 1 (19-05-2006)

Identifiers

  • HAL Id : inria-00070421 , version 1

Cite

Alain Lehmann, Patrick Bouthemy, Jian-Feng Yao. Comparison of video dynamic contents without feature matching by using rank-tests. [Research Report] RR-5586, INRIA. 2005, pp.15. ⟨inria-00070421⟩
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