In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Image databases are nowadays widely exploited in a number of different contexts, ranging from history of art, through medicine, to education. Existing querying paradigms are based ...
Deformable contours are now widely used in image segmentation, using different models, criteria and numeric schemes. Some theoretical comparisons between few deformable model met...
Large collections of scanned documents (books and journals) are now available in Digital Libraries. The most common method for retrieving relevant information from these collectio...
This paper reports our multimedia information retrieval experiments carried out for the ImageCLEF track (ImageCLEFwiki). The task is to answer to user information needs, i.e. quer...