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.
VISIONE at Video Browser Showdown 2023
Amato G;Bolettieri P;Carrara F;Falchi F;Gennaro C;Messina N;Vadicamo L;Vairo C
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.File in questo prodotto:
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prod_486130-doc_201637.pdf
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Descrizione: Preprint - VISIONE at Video Browser Showdown 2023
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prod_486130-doc_201666.pdf
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Descrizione: VISIONE at Video Browser Showdown 2023
Tipologia:
Versione Editoriale (PDF)
Dimensione
1.39 MB
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Adobe PDF
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1.39 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
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