VERGE in VBS 2017
VERGE in VBS 2017
Citació
- Moumtzidou A, Mironidis T, Markatopoulou F, Andreadis S, Gialampoukidis I, Galanopoulos D, Ioannidou A, Vrochidis S, Mezaris V, Kompatsiaris I, Patras I. VERGE in VBS 2017. In: Amsaleg L, Guðmundsson G, Gurrin C, Jónsson B, Satoh S, editors. Proceedings of Video Browser Showdown (VBS'17) at the 23rd International Conference on MultiMedia Modeling (MMM'17); 2017 4 Jan; Reykjavik, Iceland, Part II. p. 486–92. [place unknonwn]: Springer, 2017. (LNCS; no. 10133). DOI: 10.1007/978-3-319-51814-5_46
Enllaç permanent
Descripció
Resum
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.Descripció
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.