VISIONE is a content-based video retrieval system that participated to VBS for the very first time in 2019. It is mainly based on state-of-the-art deep learning approaches for visual content analysis and exploits highly efficient indexing techniques to ensure scalability. The system supports query by scene tag, query by object location, query by color sketch, and visual similarity search.

VISIONE Content-Based Video Retrieval System, VBS 2019

Amato G;Bolettieri P;Carrara F;Debole F;Falchi F;Gennaro C;Vadicamo L;Vairo C
2019

Abstract

VISIONE is a content-based video retrieval system that participated to VBS for the very first time in 2019. It is mainly based on state-of-the-art deep learning approaches for visual content analysis and exploits highly efficient indexing techniques to ensure scalability. The system supports query by scene tag, query by object location, query by color sketch, and visual similarity search.
2019
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Content-based video retrieval system
User interface
VBS
Video analysis
File in questo prodotto:
File Dimensione Formato  
prod_402365-doc_139915.jpg

accesso aperto

Descrizione: VISIONE User Interface
Dimensione 339.28 kB
Formato JPEG
339.28 kB JPEG Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/392448
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact