Amato G, Bolettieri P, Carrara F, Falchi F, Gennaro C, Messina N, Vadicamo L, Vairo C
Content-based video retrieval Information search and retrieval Surrogate text representation Video search
VISIONE is a content-based retrieval system that supports various search functionalities (text search, object/color-based search, semantic and visual similarity search, temporal search). It uses a full-text search engine as a search backend. In the latest version of our system, we modified the user interface, and we made some changes to the techniques used to analyze and search for videos.
@inproceedings{oai:it.cnr:prodotti:468766, title = {VISIONE at Video Browser Showdown 2022}, author = {Amato G and Bolettieri P and Carrara F and Falchi F and Gennaro C and Messina N and Vadicamo L and Vairo C}, year = {2022} }
Amato, Giuseppe
0000-0003-0171-4315
Bolettieri, Paolo
0000-0002-5225-4278
Carrara, Fabio
0000-0001-5014-5089
Falchi, Fabrizio
0000-0001-6258-5313
Gennaro, Claudio
0000-0002-3715-149X
Messina, Nicola
0000-0003-3011-2487
Vadicamo, Lucia
0000-0001-7182-7038
Vairo, Claudio Francesco
0000-0003-2740-4331
Artificial Intelligence for Media and Humanities (2021-ongoing)