Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
Euripides G. M. Petrakis, Klaydios Kontis, Epimeni...
In this paper, a kernel-based method for multi-object retrieval in large image database is presented. First, our approach exploits a fuzzy region segmentation approach in order to...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
Cross language information retrieval is a field of study that has received significant research attention, resulting in systems that despite the errors of automatic translation (f...
Mark Sanderson, Paul Clough, Catherine Paterson, W...
When short queries and short image annotations are used in text-based cross-language image retrieval, small changes in word usage due to translation errors may decrease the retriev...
We reported some experiments conducted by our members in the SIG team at the IRIT laboratory in the CLEF medical retrieval task, namely ImageCLEFmed. In 2010, we are particularly i...