We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
We describe a multimedia, multilingual and multimodal research system (CIMWOS) supporting content-based indexing, archiving, retrieval and on-demand delivery of audiovisual content...
Searching digital biomedical images is a challenging problem. Prevalent retrieval techniques involve human-supplied text annotations to describe image contents. Biomedical images,...
We describe our experiments for the High-level Feature Extraction (FE) and Search (SE) tasks. We submitted two automatic runs to the FE task, the first one (MMIS alexei) was based ...
In this paper, we describe an approach for the automatic medical image annotation task of the 2009 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused o...