In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
In this paper we propose a CBIR system for retrieval ofnormal anatomical regions present in Computed Tomography studies of the chest and abdomen. We implement and compare eight si...
Winnie Tsang, Andrew Corboy, Ken Lee, Daniela Stan...
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision. An efficient learning appro...