Abstract. The recognition of events in videos is a relevant and challenging task of automatic semantic video analysis. At present one of the most successful frameworks, used for ob...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
The SLIF project combines text-mining and image processing to extract structured information from biomedical literature. SLIF extracts images and their captions from published pap...
In this paper, we present a methodology to estimate a detailed state of a video scene involving multiple humans and vehicles. In order to annotate and retrieve videos containing a...
The cultural heritage domain dealing with digital surrogates of rare and fragile historic artifacts is one of the most promising areas for establishing collaboratories, i.e. shared...
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...