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.
Source: MMM 2022 - 28th International Conference on Multimedia Modeling, pp. 543–548, Phu Quoc, Vietnam, 06-10/06/2022
@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}, booktitle = {MMM 2022 - 28th International Conference on Multimedia Modeling, pp. 543–548, Phu Quoc, Vietnam, 06-10/06/2022}, year = {2022} }
Amato, Giuseppe0000-0003-0171-4315
Bolettieri, Paolo0000-0002-5225-4278
Carrara, Fabio0000-0001-5014-5089
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)