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VISIONE at Video Browser Showdown 2022

Conference Paper
Publication Date:
2022
abstract:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Content-based video retrieval; Information search and retrieval; Surrogate text representation; Video search
List of contributors:
Messina, Nicola; Amato, Giuseppe; Gennaro, Claudio; Bolettieri, Paolo; Vairo, CLAUDIO FRANCESCO; Vadicamo, Lucia; Carrara, Fabio
Authors of the University:
AMATO GIUSEPPE
BOLETTIERI PAOLO
CARRARA FABIO
GENNARO CLAUDIO
VADICAMO LUCIA
VAIRO CLAUDIO FRANCESCO
Handle:
https://iris.cnr.it/handle/20.500.14243/416951
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/416951/158837/prod_468766-doc_189558.pdf
https://iris.cnr.it//retrieve/handle/20.500.14243/416951/158840/prod_468766-doc_189578.pdf
Book title:
MultiMedia Modeling
  • Overview

Overview

URL

https://link.springer.com/chapter/10.1007/978-3-030-98355-0_52
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