diveXplore 4.0: The ITEC Deep Interactive Video Exploration System at VBS2020

  • Andreas LeibetsederEmail author
  • Bernd Münzer
  • Jürgen Primus
  • Sabrina Kletz
  • Klaus Schoeffmann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11962)


Having participated in the three most recent iterations of the annual Video Browser Showdown (VBS2017–VBS2019) as well as in both newly established Lifelog Search Challenges (LSC2018–LSC2019), the actively developed Deep Interactive Video Exploration (diveXplore) system combines a variety of content-based video analysis and processing strategies for interactively exploring large video archives. The system provides a user with browseable self-organizing feature maps, color filtering, semantic concept search utilizing deep neural networks as well as hand-drawn sketch search. The most recent version improves upon its predecessors by unifying deep concepts for facilitating and speeding up search, while significantly refactoring the user interface for increasing the overall system performance.


Video retrieval Interactive video search Video analysis 



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


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Andreas Leibetseder
    • 1
    Email author
  • Bernd Münzer
    • 1
  • Jürgen Primus
    • 1
  • Sabrina Kletz
    • 1
  • Klaus Schoeffmann
    • 1
  1. 1.Klagenfurt University, Institute of Information Technology (ITEC)KlagenfurtAustria

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