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Face-Based People Searching in Videos

  • Conference paper
Advances in Information Retrieval (ECIR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7814))

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Abstract

We propose a system for retrieving people according to their faces in unannotated video streams. The system processes input videos to extract key-frames on which faces are detected. The detected faces are automatically grouped together to create clusters containing snapshots of the same person. The system also facilitates annotation and manual manipulations with created clusters. On the processed videos the system offers to search for persons in three distinct operations applicable to various scenarios. The system is presented online by indexing five high-quality video streams with the total length of nearly five hours.

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References

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Author information

Authors and Affiliations

  1. Masaryk University, Botanicka 68a, 602 00, Brno, Czech Republic

    Jan Sedmidubsky, Michal Batko & Pavel Zezula

Authors
  1. Jan Sedmidubsky
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  2. Michal Batko
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  3. Pavel Zezula
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Editor information

Editors and Affiliations

  1. Yandex, Leo Tolstoy, 16, 119021, Moscow, Russia

    Pavel Serdyukov  & Ilya Segalovich  & 

  2. Kontur Labs and Ural Federal University, Fonvizina 3-27, 620078, Yekaterinburg, Russia

    Pavel Braslavski

  3. National Research University Higher School of Economics (HSE), Pokrovskii bd 11, 109028, Moscow, Russia

    Sergei O. Kuznetsov

  4. University of Amsterdam, Turfdraagsterpad 9, 1012 XT, Amsterdam, The Netherlands

    Jaap Kamps

  5. Knowledge Media Institute, The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  6. Mathematics & Computer Science Department, Emory University, 400 dowman Drive, 30329, Atlanta, GA, USA

    Eugene Agichtein

  7. Department of Computer Science, University College London, Gower Street, WC1E 6BT, London, UK

    Emine Yilmaz

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© 2013 Springer-Verlag Berlin Heidelberg

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Sedmidubsky, J., Batko, M., Zezula, P. (2013). Face-Based People Searching in Videos. In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_101

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  • DOI: https://doi.org/10.1007/978-3-642-36973-5_101

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36972-8

  • Online ISBN: 978-3-642-36973-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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