Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

VISIONE at Video Browser Showdown 2023

Conference Paper
Publication Date:
2023
abstract:
In this paper, we present the fourth release of VISIONE, a tool for fast and effective video search on a large-scale dataset. It includes several search functionalities like text search, object and color-based search, semantic and visual similarity search, and temporal search. VISIONE uses ad-hoc textual encoding for indexing and searching video content, and it exploits a full-text search engine as search backend. In this new version of the system, we introduced some changes both to the current search techniques and to the user interface.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Content-based video retrieval; Video search; Information search and retrieval; Surrogate text representation; Multi-modal retrieval
List of contributors:
Amato, Giuseppe; Gennaro, Claudio; Bolettieri, Paolo; Falchi, Fabrizio; Vairo, CLAUDIO FRANCESCO; Vadicamo, Lucia; Carrara, Fabio; Messina, Nicola
Authors of the University:
AMATO GIUSEPPE
BOLETTIERI PAOLO
CARRARA FABIO
FALCHI FABRIZIO
GENNARO CLAUDIO
VADICAMO LUCIA
VAIRO CLAUDIO FRANCESCO
Handle:
https://iris.cnr.it/handle/20.500.14243/461414
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/461414/159207/prod_486130-doc_201637.pdf
Book title:
MultiMedia Modeling
  • Overview

Overview

URL

https://doi.org/10.1007/978-3-031-27077-2_48
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)