Alex Papushoy

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In this paper we propose to employ human visual attention models for content based image retrieval. This approach is called query by saliency content retrieval (QSCR) and considers visual saliency at both local and global image levels. Each image, from a given database, is segmented and specific features are evaluated locally for each of its regions. The(More)
A new image retrieval method, based on human visual attention models, called query by saliency content retrieval (QSCR) is presented in this paper. Each image is segmented and a set of characteristic features is evaluated for each region. The saliency for each image region, as it would be perceived by a human observer, is estimated for each region and then(More)
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