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International Conference on Multimedia Modeling

MMM 2022: MultiMedia Modeling pp 569–574Cite as

diveXplore 6.0: ITEC’s Interactive Video Exploration System at VBS 2022

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13142))

Abstract

Continuously participating since the sixth Video Browser Showdown (VBS2017), diveXplore is a veteran interactive search system that throughout its lifetime has offered and evaluated numerous features. After undergoing major refactoring for the most recent VBS2021, however, the system since version 5.0 is less feature rich, yet, more modern, leaner and faster than the original system. This proved to be a sensible decision as the new system showed increasing performance in VBS2021 when compared to the most recent former competitions. With version 6.0 we reconsider shot segmentation, map search and introduce new features for improving concept as well as temporal context search.

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Acknowledgments

This work was funded by the FWF Austrian Science Fund under grant P 32010-N38.

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Authors and Affiliations

  1. Klagenfurt University, Institute of Information Technology (ITEC), Klagenfurt, Austria

    Andreas Leibetseder & Klaus Schoeffmann

Authors
  1. Andreas Leibetseder
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  2. Klaus Schoeffmann
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Corresponding author

Correspondence to Andreas Leibetseder .

Editor information

Editors and Affiliations

  1. IT University of Copenhagen, Copenhagen, Denmark

    Björn Þór Jónsson

  2. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  3. University of Science, VNU-HCM, Ho Chi Minh City, Vietnam

    Minh-Triet Tran

  4. University of Bergen, Bergen, Norway

    Duc-Tien Dang-Nguyen

  5. National Tsing Hua University, Hsinchu, Taiwan

    Anita Min-Chun Hu

  6. Hanoi University of Science and Technology, Hanoi, Vietnam

    Binh Huynh Thi Thanh

  7. Median Technologies, Valbonne, France

    Benoit Huet

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Leibetseder, A., Schoeffmann, K. (2022). diveXplore 6.0: ITEC’s Interactive Video Exploration System at VBS 2022. In: Þór Jónsson, B., et al. MultiMedia Modeling. MMM 2022. Lecture Notes in Computer Science, vol 13142. Springer, Cham. https://doi.org/10.1007/978-3-030-98355-0_56

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  • DOI: https://doi.org/10.1007/978-3-030-98355-0_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98354-3

  • Online ISBN: 978-3-030-98355-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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