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International Conference on Multimedia Modeling

MMM 2017: MultiMedia Modeling pp 493–498Cite as

Video Hunter at VBS 2017

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

Abstract

After almost three years of development, the Video Hunter tool (formerly the Signature-Based Video Browser) has become a complex tool combining different query modalities, multi-sketches, visualizations and browsing techniques. In this paper, we present additional improvements of the tool focusing on keyword search. More specifically, we present a method relying on an external image search engine and a method relying on ImageNet labels. We also present a keyframe caching method employed by our tool.

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References

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Acknowledgments

This research was supported by grant SVV-2016-260331 and GAUK project no. 1134316. We would also like to thank Jan Pavlovský for helping us with 2D image maps.

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Authors and Affiliations

  1. SIRET Research Group, Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic

    Adam Blaz̆ek, Jakub Lokoc̆ & David Kubon̆

Authors
  1. Adam Blaz̆ek
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  2. Jakub Lokoc̆
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  3. David Kubon̆
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Corresponding author

Correspondence to Adam Blaz̆ek .

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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Blaz̆ek, A., Lokoc̆, J., Kubon̆, D. (2017). Video Hunter at 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_47

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  • DOI: https://doi.org/10.1007/978-3-319-51814-5_47

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51813-8

  • Online ISBN: 978-3-319-51814-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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