Contributo in atti di convegno, 2022, ENG, 10.1007/978-3-030-98355-0_52
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 content-based retrieval system that supports various search functionalities (text search, object/color-based search, semantic and visual similarity search, temporal search). It uses a full-text search engine as a search backend. In the latest version of our system, we modified the user interface, and we made some changes to the techniques used to analyze and search for videos.
MMM 2022 - 28th International Conference on Multimedia Modeling, pp. 543–548, Phu Quoc, Vietnam, 06-10/06/2022
Content-based video retrieval, Information search and retrieval, Surrogate text representation, Video search
Messina Nicola, Amato Giuseppe, Gennaro Claudio, Bolettieri Paolo, Vairo Claudio Francesco, Vadicamo Lucia, Carrara Fabio
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 468766
Year: 2022
Type: Contributo in atti di convegno
Creation: 2022-06-28 17:49:01.000
Last update: 2023-03-13 14:30:28.000
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1007/978-3-030-98355-0_52
URL: https://link.springer.com/chapter/10.1007/978-3-030-98355-0_52
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:468766
DOI: 10.1007/978-3-030-98355-0_52
Scopus: 2-s2.0-85127167090
ISI Web of Science (WOS): 000788273600052