VERGE in VBS 2017

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Title:	VERGE in VBS 2017
Author:	Moumtzidou, Anastasia; Mironidis, Theodoros; Markatopoulou, Fotini; Andreadis, Stelios; Gialampoukidis, Ilias; Galanopoulos, Damianos; Ioannidou, Anastasia; Vrochidis, Stefanos; Mezaris, Vasileios; Kompatsiaris, Ioannis; Patras, Ioannis
Abstract:	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.
Abstract:	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.
Abstract:	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.
Subject(s):	-Cercadors -Vídeo interactiu
Rights:	© Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-51814-5_46
Document type:	Conference Object Article - Accepted version
Published by:	Springer
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