Document - VISIONE: a large-scale video retrieval system with advanced search functionalities

2023

Conference article Open Access

VISIONE: a large-scale video retrieval system with advanced search functionalities

Amato G, Bolettieri P, Carrara F, Falchi F, Gennaro C, Messina N, Vadicamo L, Vairo C

Multimedia retrieval Video search Cross-modal search Interactive system

VISIONE is a large-scale video retrieval system that integrates multiple search functionalities, including free text search, spatial color and object search, visual and semantic similarity search, and temporal search. The system leverages cutting-edge AI technology for visual analysis and advanced indexing techniques to ensure scalability. As demonstrated by its runner-up position in the 2023 Video Browser Showdown competition, VISIONE effectively integrates these capabilities to provide a comprehensive video retrieval solution. A system demo is available online, showcasing its capabilities on over 2300 hours of diverse video content (V3C1+V3C2 dataset) and 12 hours of highly redundant content (Marine dataset). The demo can be accessed at https://visione.isti.cnr.it

Publisher: ACM - Association for Computing Machinery

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@inproceedings{oai:it.cnr:prodotti:486089,
	title = {VISIONE: a large-scale video retrieval system with advanced search functionalities},
	author = {Amato G and Bolettieri P and Carrara F and Falchi F and Gennaro C and Messina N and Vadicamo L and Vairo C},
	publisher = {ACM - Association for Computing Machinery},
	doi = {10.1145/3591106.3592226},
	year = {2023}
}