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Journal of Electronic Imaging

Automatic building of a visual interface for content-based multiresolution retrieval of Paleontology images
Author(s): Jerome Landre; Frederic Truchetet; Sophie Montuire; Bruno David
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Paper Abstract

In this article we present research work in the field of content-based image retrieval in large databases applied to the paleontology image database of the Universite´ de Bourgogne, Dijon, France, called ‘‘TRANS’TYFIPAL.’’ Our indexing method is based on multiresolution decomposition of database images using wavelets. For each family of paleontology images we try to find a model image that represents it. The K-means automatic classification algorithm divides the space of parameters into several clusters. A model image for each cluster is computed from the wavelet transform of each image of the cluster. Then a search tree is built to offer users a graphic interface for retrieving images. So users have to navigate through this tree of model images to find an image similar to that they are requesting. Our contribution in the field is the building of the model and of the search tree to make user access easier and faster. At the end of this article we give experimental results and a description of future work that will be done to enhance our indexing and retrieval method.

Paper Details

Date Published: 1 October 2001
PDF: 9 pages
J. Electron. Imag. 10(4) doi: 10.1117/1.1406505
Published in: Journal of Electronic Imaging Volume 10, Issue 4
Show Author Affiliations
Jerome Landre, Univ. de Bourgogne (France)
Frederic Truchetet, Univ. de Bourgogne (France)
Sophie Montuire, Univ. de Bourgogne (France)
Bruno David, Univ. de Bourgogne (France)


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