VERGE in VBS 2017

  • Anastasia Moumtzidou
  • Theodoros Mironidis
  • Fotini Markatopoulou
  • Stelios Andreadis
  • Ilias Gialampoukidis
  • Damianos Galanopoulos
  • Anastasia Ioannidou
  • Stefanos Vrochidis
  • Vasileios Mezaris
  • Ioannis Kompatsiaris
  • Ioannis Patras
Conference paper

DOI: 10.1007/978-3-319-51814-5_46

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10133)
Cite this paper as:
Moumtzidou A. et al. (2017) VERGE in VBS 2017. In: Amsaleg L., Guðmundsson G., Gurrin C., Jónsson B., Satoh S. (eds) MultiMedia Modeling. MMM 2017. Lecture Notes in Computer Science, vol 10133. Springer, Cham

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 detection, clustering, visual similarity search, object-based search, query analysis and multimodal and temporal fusion.

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Anastasia Moumtzidou
    • 1
  • Theodoros Mironidis
    • 1
  • Fotini Markatopoulou
    • 1
    • 2
  • Stelios Andreadis
    • 1
  • Ilias Gialampoukidis
    • 1
  • Damianos Galanopoulos
    • 1
  • Anastasia Ioannidou
    • 1
  • Stefanos Vrochidis
    • 1
  • Vasileios Mezaris
    • 1
  • Ioannis Kompatsiaris
    • 1
  • Ioannis Patras
    • 2
  1. 1.Information Technologies Institute/Centre for Research and Technology HellasThermi-ThessalonikiGreece
  2. 2.School of Electronic Engineering and Computer ScienceQMULLondonUK

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