A searching and automatic video tagging tool for events of interest during volleyball training sessions
buir.contributor.author | Naghashi, Vahid | |
dc.citation.epage | 503 | en_US |
dc.citation.spage | 501 | en_US |
dc.contributor.author | Salim, F. A. | en_US |
dc.contributor.author | Postma, D. B. W. | en_US |
dc.contributor.author | Van Delden, R. | en_US |
dc.contributor.author | Reidsma, D. | en_US |
dc.contributor.author | Van Beijnum, B. -J. | en_US |
dc.contributor.author | Haider, F. | en_US |
dc.contributor.author | Luz, S. | en_US |
dc.contributor.author | Yengeç-Taşdemir, S. B. | en_US |
dc.contributor.author | Naghashi, Vahid | en_US |
dc.contributor.author | Tengiz, İ. | en_US |
dc.contributor.author | Cengiz, K. | en_US |
dc.contributor.editor | Gao, W. | |
dc.contributor.editor | Ling-Meng, H. M. | |
dc.contributor.editor | Turk, M. | |
dc.contributor.editor | Fussell, S. R. | |
dc.contributor.editor | Schuller, B. | |
dc.contributor.editor | Song, Y. | |
dc.contributor.editor | Yu, K. | |
dc.coverage.spatial | Suzhou, Jiangsu, China | en_US |
dc.date.accessioned | 2020-01-30T06:42:55Z | |
dc.date.available | 2020-01-30T06:42:55Z | |
dc.date.issued | 2019 | |
dc.department | Department of Computer Engineering | en_US |
dc.description | Date of Conference: 14-18 October 2019 | en_US |
dc.description | Conference Name: 21st ACM International Conference on Multimodal Interaction, ICMI 2019 | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | ACM SIGCHI | en_US |
dc.description.sponsorship | AISpeech | en_US |
dc.description.sponsorship | Baidu | en_US |
dc.description.sponsorship | Microsoft | en_US |
dc.description.sponsorship | Openstream | en_US |
dc.description.sponsorship | SenseTime | en_US |
dc.identifier.doi | 10.1145/3340555.3358660 | en_US |
dc.identifier.eisbn | 9781450368605 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/52915 | en_US |
dc.language.iso | English | en_US |
dc.publisher | Association for Computing Machinery, Inc | en_US |
dc.relation.isversionof | https://dx.doi.org/10.1145/3340555.3358660 | en_US |
dc.source.title | Proceedings of the 21st ACM International Conference on Multimodal Interaction, ICMI 2019 | en_US |
dc.subject | Human-media interaction | en_US |
dc.subject | Multimodal feedback | en_US |
dc.subject | Gestures analysis | en_US |
dc.title | A searching and automatic video tagging tool for events of interest during volleyball training sessions | en_US |
dc.type | Conference Paper | en_US |
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