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

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Book cover MultiMedia Modeling (MMM 2020)

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Abstract

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.

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Acknowledgements

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

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Correspondence to Andreas Leibetseder .

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Leibetseder, A., Münzer, B., Primus, J., Kletz, S., Schoeffmann, K. (2020). diveXplore 4.0: The ITEC Deep Interactive Video Exploration System at VBS2020. In: Ro, Y., et al. MultiMedia Modeling. MMM 2020. Lecture Notes in Computer Science(), vol 11962. Springer, Cham. https://doi.org/10.1007/978-3-030-37734-2_65

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  • DOI: https://doi.org/10.1007/978-3-030-37734-2_65

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  • Online ISBN: 978-3-030-37734-2

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