Reference : Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/12607
Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees
English
Marée, Raphaël mailto [Université de Liège - ULg > > GIGA-Management : Plateforme bioinformatique >]
Geurts, Pierre mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Wehenkel, Louis mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
2007
Proc. 8th Asian Conference on Computer Vision (ACCV), LNCS
Springer-Verlag
LNCS
4844
611-620
Yes
No
International
8th Asian Conference on Computer Vision (ACCV)
Tokyo
Japan
[en] biomagnet ; extra-trees ; cbir
[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 with state-of-the-art results despite its conceptual simplicity
and computational efficiency
http://hdl.handle.net/2268/12607
http://www.montefiore.ulg.ac.be/services/stochastic/pubs/2007/MGW07b
An extended version of this paper appears in IPSJ-CVA 2009.

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