With web image search engines, we face a situation where the results are very noisy, and when we ask for a specific object, we are not ensured that this object is contained in all...
We present an innovative approach for storing and processing extracted low-level image features based on current Semantic Web technologies. We propose to use the COMM multimedia o...
Removing image partial blur is of great practical importance. However, as existing recovery techniques usually assume a one-layer clear image model, they can not characterize the ...
In this paper, the problem of retrospective correction of intensity inhomogeneity in magnetic resonance (MR) images is addressed. A novel model-based correction method is proposed,...
This paper presents a technology capable of enabling the creation of a diffuse, calibrated vision-sensor network from the wealth of socially generated geo-referenced imagery, freel...
Paul Chippendale, Michele Zanin, Claudio Andreatta