Document - VISIONE for newbies: an easier-to-use video retrieval system

2023

Conference article Open Access

VISIONE for newbies: an easier-to-use video retrieval system

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

Video search Video retrieval User interface Multimedia retrieval Interactive system Cross-modal search

This paper presents a revised version of the VISIONE video retrieval system, which offers a wide range of search functionalities, including free text search, spatial color and object search, visual and semantic similarity search, and temporal search. The system is designed to ensure scalability using advanced indexing techniques and effectiveness using cutting-edge Artificial Intelligence technology for visual content analysis. VISIONE was the runner-up in the 2023 Video Browser Showdown competition, demonstrating its comprehensive video retrieval capabilities. In this paper, we detail the improvements made to the search and browsing interface to enhance its usability for non-expert users. A demonstration video of our system with the restyled interface, showcasing its capabilities on over 2,300 hours of diverse video content, is available online at https://youtu.be/srD3TCUkMSg.

Publisher: ACM - Association for Computing Machinery

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@inproceedings{oai:it.cnr:prodotti:492070,
	title = {VISIONE for newbies: an easier-to-use video retrieval system},
	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 = {10.1145/3617233.3617261},
	year = {2023}
}