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Authors: Hien Phuong Lai 1 ; Nhu Van Nguyen 1 ; Alain Boucher 2 and Jean-Marc Ogier 1

Affiliations: 1 L3I, Université de La Rochelle, France ; 2 Institut de la Francophonie pour l’Informatique, Vietnam

Keyword(s): Content-based image retrieval, Location-based information, Multidimensional indexing, SR-tree.

Abstract: This paper presents an approach for combining content-based and location-based information in an image retrieval system. With the performance for nearest neighbour queries in the area of multidimensional data and for spatial data structuring, the SR-tree (Katayama and Satoh, 1997) structure is chosen for structuring the images simultaneously in location space and visual content space. The proposed approach also uses the SR-tree structure to organize various geographic objects of a Geographic Information System (GIS). We apply then this approach to a decision-aid system in a situation of post-natural disaster in which images describe different disasters and geographic objects are monuments registered in GIS data in the form of polygons. The proposed system aims at finding emergencies in the city after a natural disaster and giving them an emergency level. Some scenarios showing the interest of using content-based and location-based search in different ways are also presented and teste d in the developed system. (More)

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Paper citation in several formats:
Phuong Lai, H.; Van Nguyen, N.; Boucher, A. and Ogier, J. (2010). USING SR-TREE IN A CONTENT-BASED AND LOCATION-BASED IMAGE RETRIEVAL SYSTEM. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP; ISBN 978-989-674-029-0; ISSN 2184-4321, SciTePress, pages 491-494. DOI: 10.5220/0002831504910494

@conference{visapp10,
author={Hien {Phuong Lai}. and Nhu {Van Nguyen}. and Alain Boucher. and Jean{-}Marc Ogier.},
title={USING SR-TREE IN A CONTENT-BASED AND LOCATION-BASED IMAGE RETRIEVAL SYSTEM},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP},
year={2010},
pages={491-494},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002831504910494},
isbn={978-989-674-029-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP
TI - USING SR-TREE IN A CONTENT-BASED AND LOCATION-BASED IMAGE RETRIEVAL SYSTEM
SN - 978-989-674-029-0
IS - 2184-4321
AU - Phuong Lai, H.
AU - Van Nguyen, N.
AU - Boucher, A.
AU - Ogier, J.
PY - 2010
SP - 491
EP - 494
DO - 10.5220/0002831504910494
PB - SciTePress

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