The need for systems that can stock, represent, and provide efficient retrieval facilities of images of particular interest is becoming very high in medicine. In this respect, a l...
In content based image retrieval, the success of any distance-based indexing scheme depends critically on the quality of the chosen distance metric. We propose in this paper a ker...
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...
Effective keyword search on image databases is a major open problem, due to the inherent imprecision of keywords (tags) used to describe images' content. In this paper we pre...
We address the problem of large scale image retrieval in a wide-baseline setting, where for any query image all the matching database images will come from very different viewpoint...