A Query Language Combining Object Features and Semantic Events

LES AUTEURS : T. L Le, M. Thonnat, A. Boucher, F. Bremond

RESUME:

In this paper, we propose a novel query language for video
indexing and retrieval that (1) enables to make queries both at the image
level and at the semantic level (2) enables the users to define their own
scenarios based on semantic events and (3) retrieves videos with both exact
matching and similarity matching. For a query language, four main
issues must be addressed: data modeling, query formulation, query parsing
and query matching. In this paper we focus and give contributions
on data modeling, query formulation and query matching. We are currently
using color histograms and SIFT features at the image level and
10 types of events at the semantic level. We have tested the proposed
query language for the retrieval of surveillance videos of a metro station.
In our experiments the database contains more than 200 indexed physical
objects and 48 semantic events. The results using different types of
queries are promising.

Mots clé: Surveillance Video Indexing and Retrieval

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BibTeX reference:

@INPROCEEDINGS{lle_MMM_08,
AUTHOR =       {T. L Le, M. Thonnat, A. Boucher, F. Bremond},
TITLE =        {A Query Language Combining Object Features and
Semantic Events},
BOOKTITLE =    {The 14th International MultiMedia Modeling Conference
(MMM)},
YEAR =         {2008},
address =      {Kyoto},
month =        {January}
}

Dernière mise à jour : 23/11/07
Catherine.Martin@sophia.inria.fr