Contributo in atti di convegno, 2022, ENG, 10.1007/978-3-030-98355-0_52

VISIONE at Video Browser Showdown 2022

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

Keywords

Content-based video retrieval, Information search and retrieval, Surrogate text representation, Video search

CNR authors

Messina Nicola, Amato Giuseppe, Gennaro Claudio, Bolettieri Paolo, Vairo Claudio Francesco, Vadicamo Lucia, Carrara Fabio

CNR institutes

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 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