A searching and automatic video tagging tool for events of interest during volleyball training sessions
Date
2019
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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.
Source Title
Proceedings of the 21st ACM International Conference on Multimodal Interaction, ICMI 2019
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Association for Computing Machinery, Inc
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English