Contributo in atti di convegno, 2023, ENG, 10.1145/3591106.3592226
Amato G.; Bolettieri P.; Carrara F.; Falchi F.; Gennaro C.; Messina N.; Vadicamo L.; Vairo C.
CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy
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
ICMR '23: International Conference on Multimedia Retrieval, pp. 649–653, Thessaloniki, Greece, 12-15/06/2023
Multimedia retrieval, Video search, Cross-modal search, Interactive system
Amato Giuseppe, Gennaro Claudio, Bolettieri Paolo, Falchi Fabrizio, Vairo Claudio Francesco, Vadicamo Lucia, Carrara Fabio, Messina Nicola
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 486089
Year: 2023
Type: Contributo in atti di convegno
Creation: 2023-09-06 17:30:23.000
Last update: 2023-10-23 15:31:08.000
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:486089
DOI: 10.1145/3591106.3592226
Scopus: 2-s2.0-85163696670