Unsupervised Extraction of Salient Region-Descriptors for Content Based Image Retrieval

Authors:
Alexander Dimai
Affiliations:
-
Venue:
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Year:
1999

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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 algorithms 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.