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International Conference on Multimedia Modeling

MMM 2017: MultiMedia Modeling pp 486–492Cite as

VERGE in VBS 2017

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10133)

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.

Keywords

  • Convolutional Neural Network
  • Video Retrieval
  • Video Shot
  • Original Query
  • Temporal Fusion

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

  1. 1.

    http://mklab-services.iti.gr/vss2016.

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Acknowledgements

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.

Author information

Authors and Affiliations

  1. Information Technologies Institute/Centre for Research and Technology Hellas, 6th Km. Charilaou - Thermi Road, 57001, Thermi-Thessaloniki, Greece

    Anastasia Moumtzidou, Theodoros Mironidis, Fotini Markatopoulou, Stelios Andreadis, Ilias Gialampoukidis, Damianos Galanopoulos, Anastasia Ioannidou, Stefanos Vrochidis, Vasileios Mezaris & Ioannis Kompatsiaris

  2. School of Electronic Engineering and Computer Science, QMUL, London, UK

    Fotini Markatopoulou & Ioannis Patras

Authors
  1. Anastasia Moumtzidou
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  2. Theodoros Mironidis
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  3. Fotini Markatopoulou
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  4. Stelios Andreadis
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  5. Ilias Gialampoukidis
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  6. Damianos Galanopoulos
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  7. Anastasia Ioannidou
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  8. Stefanos Vrochidis
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  9. Vasileios Mezaris
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  10. Ioannis Kompatsiaris
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  11. Ioannis Patras
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Corresponding author

Correspondence to Anastasia Moumtzidou .

Editor information

Editors and Affiliations

  1. CNRS–IRISA, Rennes, France

    Laurent Amsaleg

  2. Reykjavík University, Reykjavik, Iceland

    Gylfi Þór Guðmundsson

  3. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  4. Reykjavik University, Reykjavik, Ireland

    Björn Þór Jónsson

  5. National Institute of Informatics, Tokyo, Japan

    Shin’ichi Satoh

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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. https://doi.org/10.1007/978-3-319-51814-5_46

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  • DOI: https://doi.org/10.1007/978-3-319-51814-5_46

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