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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CITATION STYLE
Leibetseder, A., Münzer, B., Primus, J., Kletz, S., & Schoeffmann, K. (2020). diveXplore 4.0: The ITEC Deep Interactive Video Exploration System at VBS2020. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11962 LNCS, pp. 753–759). Springer. https://doi.org/10.1007/978-3-030-37734-2_65
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