In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
Recent advances in processing and networking capabilities of computers have led to an accumulation of immense amounts of multimedia data such as images. One of the largest reposit...
This paper describes our approach to the 2006 Adhoc Monolingual Information Retrieval run for French. The goal of our experiment was to compare the performance of a proposed stati...
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
In this paper we describe a distributed retrieval system for medical images based on a Human Centered Virtual Machine (HCVM). HCVM layered architecture allows indexing and retrieva...
R. Castelletti, Ernesto Damiani, Giovanni Righini,...