Skip to main content
SpringerLink
Log in

Autopiloting Feature Maps: The Deep Interactive Video Exploration (diveXplore) System at VBS2019

  • Conference paper
  • First Online:
MultiMedia Modeling (MMM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11296))

Included in the following conference series:

Abstract

We present the most recent version of our Deep Interactive Video Exploration (diveXplore) system, which has been successfully used for the latest two Video Browser Showdown competitions (VBS2017 and VBS2018) as well as for the first Lifelog Search Challenge (LSC2018). diveXplore is based on a plethora of video content analysis and processing methods, such as simple color, texture, and motion analysis, self-organizing feature maps, and semantic concept extraction with different deep convolutional neural networks. The biggest strength of the system, however, is that it provides a variety of video search and rich interaction features. One of the novelties in the most recent version is a Feature Map Autopilot, which ensures time-efficient inspection of feature maps without gaps and unnecessary visits.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Dang-Nguyen, D.-T., Schoeffmann, K., Hurst, W.: LSE 2018 panel - challenges of lifelog search and access. In: Proceedings of the 2018 ACM Workshop on the Lifelog Search Challenge, LSC 2018, pp. 1–2. ACM, New York (2018)

    Google Scholar 

  2. Leibetseder, A., Kletz, S., Schoeffmann, K.: Sketch-based similarity search for collaborative feature maps. In: Schoeffmann, K., et al. (eds.) MMM 2018. LNCS, vol. 10705, pp. 425–430. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73600-6_45

    Chapter  Google Scholar 

  3. Lokoc, J., Bailer, W., Schoeffmann, K., Muenzer, B., Awad, G.: On influential trends in interactive video retrieval: video browser showdown 2015–2017. IEEE Trans. Multimedia 20(12), 3361–3376 (2018). https://ieeexplore.ieee.org/abstract/document/8352047

    Article  Google Scholar 

  4. Münzer, B., Leibetseder, A., Kletz, S., Primus, M.J., Schoeffmann, K.: lifeXplore at the lifelong search challenge 2018. In: Proceedings of the 2018 ACM Workshop on the Lifelong Search Challenge, LSC 2018, pp. 3–8. ACM, New York (2018)

    Google Scholar 

  5. Primus, M.J., Münzer, B., Leibetseder, A., Schoeffmann, K.: The ITEC collaborative video search system at the video browser showdown 2018. In: Schoeffmann, K., et al. (eds.) MMM 2018. LNCS, vol. 10705, pp. 438–443. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73600-6_47

    Chapter  Google Scholar 

  6. Schoeffmann, K., et al.: Collaborative feature maps for interactive video search. In: Amsaleg, L., Guðmundsson, G.Þ., Gurrin, C., Jónsson, B.Þ., Satoh, S. (eds.) MMM 2017. LNCS, vol. 10133, pp. 457–462. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-51814-5_41

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Information Technology, Klagenfurt University, Klagenfurt, Austria

    Klaus Schoeffmann, Bernd Münzer, Andreas Leibetseder, Jürgen Primus & Sabrina Kletz

Authors
  1. Klaus Schoeffmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bernd Münzer
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Andreas Leibetseder
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jürgen Primus
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Sabrina Kletz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Klaus Schoeffmann .

Editor information

Editors and Affiliations

  1. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Ioannis Kompatsiaris

  2. EURECOM, Sophia Antipolis, France

    Benoit Huet

  3. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Vasileios Mezaris

  4. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  5. National Chiao Tung University, Hsinchu, Taiwan

    Wen-Huang Cheng

  6. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Stefanos Vrochidis

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Schoeffmann, K., Münzer, B., Leibetseder, A., Primus, J., Kletz, S. (2019). Autopiloting Feature Maps: The Deep Interactive Video Exploration (diveXplore) System at VBS2019. In: Kompatsiaris, I., Huet, B., Mezaris, V., Gurrin, C., Cheng, WH., Vrochidis, S. (eds) MultiMedia Modeling. MMM 2019. Lecture Notes in Computer Science(), vol 11296. Springer, Cham. https://doi.org/10.1007/978-3-030-05716-9_50

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05716-9_50

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05715-2

  • Online ISBN: 978-3-030-05716-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation