We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Abstract. This paper provides baseline results for the medical automatic annotation task of CLEF 2007 by applying the image retrieval in medical applications (IRMA)-based algorithm...
Images are being produced and made available in ever increasing numbers; but how can we find images "like this one" that are of interest to us? Many different systems hav...
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Traditional approaches for content-based image querying typically compute a single signature for each image based on color histograms, texture, wavelet transforms etc., and return...