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Unsupervised extraction of salient region-descriptors for content based image retrieval
Dimai, A.;
Image Analysis and Processing, 1999. Proceedings. International Conference on
27-29 Sept. 1999
Page(s):686
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691
Abstract:
Several content-based image retrieval systems use region-based descriptors of salient regions to represent the image content. In this application domain, no perfect pixel-wise segmentation is required, but instead, a stable and unsupervised extraction of salient region-descriptors is needed which might be generally applicable. Accordingly, in this paper an algorithm is proposed which combines local and area-based information of multidimensional features, such as luminance, color and texture to extract robustly region-descriptors of salient regions. Furthermore, the selection of the corresponding regions is parameter-free thus ensuring its general applicability. The algorithm is easy to extend to other feature types and has been used to extract salient regions from images of a large database consisting of outdoor scenes
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