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Revisiting SIRET Video Retrieval Tool

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MultiMedia Modeling (MMM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10705))

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Abstract

The known-item and ad-hoc video search tasks still represent challenging problems for the video retrieval community. During last years, the Video Browser Showdown identified several promising approaches that can improve the effectiveness of interactive video retrieval tools focusing on the tasks. We present a major revision of the SIRET interactive video retrieval tool that follows these findings. The new version employs three different query initialization approaches and provides several result visualization methods for effective navigation and browsing in sets of ranked keyframes.

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Notes

  1. 1.

    Only the supported set of labels L of a selected model M can be used to form the query (our UI keyword search element prompts the labels).

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Acknowledgments

This paper has been supported by Czech Science Foundation (GAČR) project Nr. 17-22224S and by grant SVV-2017-260451.

Author information

Authors and Affiliations

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

    Jakub Lokoč, Gregor Kovalčík & Tomáš Souček

Authors
  1. Jakub Lokoč
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  2. Gregor Kovalčík
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  3. Tomáš Souček
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Corresponding author

Correspondence to Jakub Lokoč .

Editor information

Editors and Affiliations

  1. Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria

    Klaus Schoeffmann

  2. Chulalongkorn University, Bangkok, Thailand

    Thanarat H. Chalidabhongse

  3. City University of Hong Kong, Hong Kong, China

    Chong Wah Ngo

  4. Chulalongkorn University, Bangkok, Thailand

    Supavadee Aramvith

  5. Dublin City University, Dublin, Ireland

    Noel E. O’Connor

  6. Gwangju Institute of Science and Technology, Gwangju, Korea (Republic of)

    Yo-Sung Ho

  7. Tampere University of Technology, Tampere, Finland

    Moncef Gabbouj

  8. Rutgers University, Piscataway, New Jersey, USA

    Ahmed Elgammal

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Lokoč, J., Kovalčík, G., Souček, T. (2018). Revisiting SIRET Video Retrieval Tool. In: Schoeffmann, K., et al. MultiMedia Modeling. MMM 2018. Lecture Notes in Computer Science(), vol 10705. Springer, Cham. https://doi.org/10.1007/978-3-319-73600-6_44

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  • DOI: https://doi.org/10.1007/978-3-319-73600-6_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73599-3

  • Online ISBN: 978-3-319-73600-6

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