Content-based color image retrieval with relevance feedback

We describe the main features of Quicklook, a prototype system that allows the user to query an image database and progressively refine the system´s response by indicating the relevance, or nonrelevance of the retrieved items. Our experience with Quicklook demonstrates that user interaction with the system greatly improves retrieval results, making it possible, with no significant effort by the user, to tune the similarity measure used by the system to the user´s notion of image similarity