PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees
Raphaël Marée, Pierre Geurts and Louis Wehenkel
IPSJ Transactions on Computer Vision and Applications 2009.

Abstract

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.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Theory & Algorithms
ID Code:6627
Deposited By:Louis Wehenkel
Deposited On:08 March 2010