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...
Abstract. Due to improvements in image acquisition and storage technology, terabyte-sized databases of images are nowadays common. This abundance of data leads us to two basic prob...
This paper details the behavioral evaluation of a qualitative image categorisation and retrieval approach using semantic features of images. Content based image retrieval and class...
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...