VISIONE Content-Based Video Retrieval System, VBS 2019
Amato G., Bolettieri P., Carrara F., Debole F., Falchi F., Gennaro C., Vadicamo L., Vairo C.
Content-based video retrieval system User interface VBS Video analysis
VISIONE is a content-based video retrieval system that participated to VBS for the very first time in 2019. It is mainly based on state-of-the-art deep learning approaches for visual content analysis and exploits highly efficient indexing techniques to ensure scalability. The system supports query by scene tag, query by object location, query by color sketch, and visual similarity search.
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@misc{oai:it.cnr:prodotti:402365,
title = {VISIONE Content-Based Video Retrieval System, VBS 2019},
author = {Amato G. and Bolettieri P. and Carrara F. and Debole F. and Falchi F. and Gennaro C. and Vadicamo L. and Vairo C.},
year = {2019}
}Amato, Giuseppe
0000-0003-0171-4315
Bolettieri, Paolo0000-0002-5225-4278
Carrara, Fabio0000-0001-5014-5089
Debole, Franca0000-0002-0369-6045
Falchi, Fabrizio0000-0001-6258-5313
Gennaro, Claudio0000-0002-3715-149X
Vadicamo, Lucia0000-0001-7182-7038
Vairo, Claudio Francesco0000-0003-2740-4331
Networked Multimedia Information System (2002-2020)
Servizio Infrastruttura Informatica ISTI e Supporto ai Servizi (2018-ongoing)