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      • Department of Computer Engineering
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      A searching and automatic video tagging tool for events of interest during volleyball training sessions

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      Author
      Salim, F. A.
      Postma, D. B. W.
      Van Delden, R.
      Reidsma, D.
      Van Beijnum, B. -J.
      Haider, F.
      Luz, S.
      Yengeç-Taşdemir, S. B.
      Naghashi, Vahid
      Tengiz, İ.
      Cengiz, K.
      Editor
      Gao, W.
      Ling-Meng, H. M.
      Turk, M.
      Fussell, S. R.
      Schuller, B.
      Song, Y.
      Yu, K.
      Date
      2019
      Source Title
      Proceedings of the 21st ACM International Conference on Multimodal Interaction, ICMI 2019
      Publisher
      Association for Computing Machinery, Inc
      Pages
      501 - 503
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      Quick and easy access to performance data during matches and training sessions is important for both players and coaches. While there are many video tagging systems available, these systems require manual effort. This paper proposes a system architecture that automatically supplements video recording by detecting events of interests in volleyball matches and training sessions to provide tailored and interactive multi-modal feedback.
      Keywords
      Human-media interaction
      Multimodal feedback
      Gestures analysis
      Permalink
      http://hdl.handle.net/11693/52915
      Published Version (Please cite this version)
      https://dx.doi.org/10.1145/3340555.3358660
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      • Department of Computer Engineering 1368
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