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: