Amato G, Bolettieri P, Carrara F, Falchi F, Gennaro C, Messina N, Vadicamo L, Vairo C
Information search and retrieval Video search Content-based video retrieval Surrogate text representation
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}, doi = {10.1007/978-3-030-98355-0_52}, year = {2022} }
Amato, Giuseppe0000-0003-0171-4315
Bolettieri, Paolo0000-0002-5225-4278
Carrara, Fabio0000-0001-5014-5089
Falchi, Fabrizio0000-0001-6258-5313
Gennaro, Claudio0000-0002-3715-149X
Messina, Nicola0000-0003-3011-2487
Vadicamo, Lucia0000-0001-7182-7038
Vairo, Claudio Francesco0000-0003-2740-4331
Artificial Intelligence for Media and Humanities (2021-ongoing)