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VISIONE Content-Based Video Retrieval System, VBS 2019

Software
Publication Date:
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.
Iris type:
05.11 Software
Keywords:
Content-based video retrieval system; User interface; VBS; Video analysis
List of contributors:
Falchi, Fabrizio; Vadicamo, Lucia; Carrara, Fabio; Amato, Giuseppe; Gennaro, Claudio; Debole, Franca; Bolettieri, Paolo; Vairo, CLAUDIO FRANCESCO
Authors of the University:
AMATO GIUSEPPE
BOLETTIERI PAOLO
CARRARA FABIO
DEBOLE FRANCA
FALCHI FABRIZIO
GENNARO CLAUDIO
VADICAMO LUCIA
VAIRO CLAUDIO FRANCESCO
Handle:
https://iris.cnr.it/handle/20.500.14243/392448
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/392448/137732/prod_402365-doc_139915.jpg
  • Overview

Overview

URL

http://bilioso.isti.cnr.it:8050/Visione/
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