Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

[en] We propose a new method for content-based image retrieval which exploits the similarity measure and indexing structure of totally randomized tree ensembles induced from a set of subwindows randomly extracted from a sample of images. We also present the possibility of updating the model as new images come in, and the capability of comparing new images using a model previously constructed from a different set of images. The approach is quantitatively evaluated on various types of images and achieves high recognition rates despite its conceptual simplicity and computational efficiency.

Disciplines :

Computer science

Author, co-author :

Marée, Raphaël ; Université de Liège - ULiège > GIGA-Management : Plateforme bioinformatique

Geurts, Pierre ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation

Wehenkel, Louis ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation

Language :

English

Title :

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

Publication date :

30 January 2009

Journal title :

IPSJ Transactions on Computer Vision and Applications

eISSN :

1882-6695

Publisher :

Information Processing Society of Japan, Japan

Special issue title :

Special Issue on ACCV2007

Volume :

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://www.jstage.jst.go.jp/article/ipsjtcva/1/0/1_46/_article

Funders :

FEDER - Fonds Européen de Développement Régional
F.R.S.-FNRS - Fonds de la Recherche Scientifique
DGTRE - Région wallonne. Direction générale des Technologies, de la Recherche et de l'Énergie

Commentary :

The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). This material is published on this web page with the agreement of the author(s) and the IPSJ. Please comply with the Copyright Law of Japan and the Code of Ethics of IPSJ if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof. All Rights Reserved, Copyright (C) Information Processing Society of Japan.

Available on ORBi :

since 10 February 2009

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