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Perfect Match in Video Retrieval

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Book cover MultiMedia Modeling (MMM 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13833))

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Abstract

This paper presents the first version of our video search system Perfect Match for the Video Browser Showdown 2023 competition. The system indexes videos from the large V3C video dataset and derives visual content descriptors automatically. Furthermore, it provides an interactive video search user interface (UI), which implements approaches from the domain of critiquing-based recommendation, to enable the user to find the desired video segment as fast as possible.

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Notes

  1. 1.

    https://ffmpeg.org.

  2. 2.

    https://tinder.com.

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Acknowledgements

The presented work has been developed within the research project Streamdiver which is funded by the Austrian Research Promotion Agency (FFG) under the project number 886205.

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Authors and Affiliations

  1. Graz University of Technology, Graz, Austria

    Sebastian Lubos & Alexander Felfernig

  2. Streamdiver GmbH, Klagenfurt am Wörthersee, Austria

    Massimiliano Rubino, Christian Tautschnig, Markus Tautschnig & Boda Wen

  3. Klagenfurt University, Klagenfurt am Wörthersee, Austria

    Klaus Schoeffmann

Authors
  1. Sebastian Lubos
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  2. Massimiliano Rubino
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  3. Christian Tautschnig
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  4. Markus Tautschnig
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  5. Boda Wen
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  6. Klaus Schoeffmann
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  7. Alexander Felfernig
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Corresponding author

Correspondence to Sebastian Lubos .

Editor information

Editors and Affiliations

  1. University of Bergen, Bergen, Norway

    Duc-Tien Dang-Nguyen

  2. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  3. Radboud University Nijmegen, Nijmegen, The Netherlands

    Martha Larson

  4. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  5. University of Amsterdam, Amsterdam, The Netherlands

    Stevan Rudinac

  6. National Institute of Information and Communications Technology, Tokyo, Japan

    Minh-Son Dao

  7. Department of Information Science and Media Studies, University of Bergen, Bergen, Norway

    Christoph Trattner

  8. La Trobe University, Melbourne, VIC, Australia

    Phoebe Chen

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Lubos, S. et al. (2023). Perfect Match in Video Retrieval. In: Dang-Nguyen, DT., et al. MultiMedia Modeling. MMM 2023. Lecture Notes in Computer Science, vol 13833. Springer, Cham. https://doi.org/10.1007/978-3-031-27077-2_51

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  • DOI: https://doi.org/10.1007/978-3-031-27077-2_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-27076-5

  • Online ISBN: 978-3-031-27077-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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