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

Contributo in Atti di convegno
Data di Pubblicazione:
2023
Abstract:
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
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Multimedia retrieval; Video search; Cross-modal search; Interactive system
Elenco autori:
Amato, Giuseppe; Gennaro, Claudio; Bolettieri, Paolo; Falchi, Fabrizio; Vairo, CLAUDIO FRANCESCO; Vadicamo, Lucia; Carrara, Fabio; Messina, Nicola
Autori di Ateneo:
AMATO GIUSEPPE
BOLETTIERI PAOLO
CARRARA FABIO
FALCHI FABRIZIO
GENNARO CLAUDIO
VADICAMO LUCIA
VAIRO CLAUDIO FRANCESCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/463498
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/463498/155870/prod_486089-doc_201595.pdf
Titolo del libro:
ICMR '23: Proceedings of the 2023 ACM International Conference on Multimedia Retrieval
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URL

https://doi.org/10.1145/3591106.3592226
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