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The content-based image retrieval (CBIR) system aims at searching and browsing the large image digital libraries based on automatically derived imagery features. This paper introduces two algorithms based on the normalized cut for images clustering. We extract the color and texture features for computing the distance between the images, and take advantage of the bipartition method and minimum spanning...
Content-based image auto-annotation becomes a hot research topic owing to the development of image retrieval system and the storing technology of multimedia information. It is a key step in most of those image processing applications. In this work, we adopt active learning to image annotation for reducing the number of labeled images required for supervised learning procedure. Localized Generalization...
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