This paper presents our approaches and results of the four TRECVID 2008 tasks we participated in: high-level feature extraction, automatic video search, video copy detection, and ...
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
This paper describes the supervised acquisition of semantic event frames based pus of biomedical abstracts, in which the biological process of E. coli gene regulation has been lin...
Yutaka Sasaki, Paul Thompson, Philip Cotter, John ...
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
In this paper, we provide a general overview of our recent research contributions, with focus on the proposed approach for building service ontologies to serve as an interoperabili...
Devis Bianchini, Valeria De Antonellis, Michele Me...