Content-based retrieval using local descriptors: problems and issues from a database perspective

Laurent Amsaleg 1, * Patrick Gros 2
* Auteur correspondant
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Most existing content-based image retrieval systems built above a very large database typically compute a single descriptor per image, based for example on colour histograms. Therefore, these systems can only return images that are globally similar to the query image, but cannot return images that contain some of the objects that are in the query. Recent image processing techniques, however, focused on fine-grain image recognition to address the need of detecting similar objects in images. Fine-grain image recognition typically relies on computing many local descriptors per image. These techniques obviously increase the recognition power of retrieval systems, but also raise new problems in the design of fundamental lower-level functions such as indexes and secondary storage management. This paper addresses these problems: it shows that the three most efficient multi-dimensional indexing techniques known today do not efficiently cope with the deep changes in the retrieval process caused by the use of local descriptors. This paper also identifies several research directions to investigate before being able to build efficient image database systems supporting fine-grain recognition.
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Article dans une revue
Pattern Analysis and Applications, Springer Verlag, 2001, 4 (2-3), pp.108-124. 〈http://www.springerlink.com/content/ur51b4uj7c2p6guj/fulltext.pdf〉. 〈10.1007/s100440170011〉
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https://hal.inria.fr/inria-00568567
Contributeur : Patrick Gros <>
Soumis le : mercredi 23 février 2011 - 10:15:44
Dernière modification le : mercredi 16 mai 2018 - 11:23:06

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Laurent Amsaleg, Patrick Gros. Content-based retrieval using local descriptors: problems and issues from a database perspective. Pattern Analysis and Applications, Springer Verlag, 2001, 4 (2-3), pp.108-124. 〈http://www.springerlink.com/content/ur51b4uj7c2p6guj/fulltext.pdf〉. 〈10.1007/s100440170011〉. 〈inria-00568567〉

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