VERGE in VBS 2017
- Moumtzidou, Anastasia
- Mironidis, Theodoros
- Markatopoulou, Fotini
- Andreadis, Stelios
- Gialampoukidis, Ilias
- Galanopoulos, Damianos
- Ioannidou, Anastasia
- Vrochidis, Stefanos
- Mezaris, Vasileios
- Kompatsiaris, Ioannis
- Patras, Ioannis
Publication date
January 2017
DOI Publisher
Springer Science and Business Media LLC ISSN
0302-9743 Journal
0302-9743 Citation count (estimate)
1Abstract
Comunicació presentada a Video Browser Showdown (VBS'17), a 23rd International Conference on MultiMedia Modeling (MMM'17), celebrat el 4 de gener de 2017 a Reykjavik, Islàndia.This paper presents VERGE interactive video retrieval engine, which is capable of browsing and searching into video content. The system integrates several content-based analysis and retrieval modules including concept detec-tion, clustering, visual similarity search, object-based search, query analysis and multimodal and temporal fusion.This work was supported by the EU’s Horizon 2020 research and innovation programme under grant agreements H2020-687786 InVID, H2020-693092 MOVING, H2020-645012 KRISTINA and H2020-700024 TENSOR
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