Visual browsing in image collections using wavelets
2006
Visual browsing is an important way of searching for images in large databases. In image retrieval, a lot
of problems have to be solved to get a good system: dimensionality curse, users' search context, size of the
database, visual features. In this article, a method trying to attenuate these problems is proposed. Each features
vector is organized into four signature vectors used in the classification process while building a fuzzy search tree
that is proposed to users for visual browsing. Our system gives good results in terms of speed and accuracy by
solving several problems of classical image retrieval methods.
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