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

Source: ICMR '23: International Conference on Multimedia Retrieval, pp. 649–653, Thessaloniki, Greece, 12-15/06/2023

Publisher: ACM - Association for Computing Machinery, New York, USA

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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, New York, USA},
	doi = {10.1145/3591106.3592226},
	booktitle = {ICMR '23: International Conference on Multimedia Retrieval, pp. 649–653, Thessaloniki, Greece, 12-15/06/2023},
	year = {2023}
}