A Searching and Automatic Video Tagging Tool for Events of Interest During Volleyball Training Sessions
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
Assoc Computing Machinery
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
62
OpenAIRE Views
158
Publicly Funded
No
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Impulse
Average
Influence
Average
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Average
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.
Description
Haider, Fasih/0000-0002-5150-3359; Postma, Dees/0000-0002-1108-7549; Reidsma, Dennis/0000-0002-7503-573X; Van Delden, Robby/0000-0002-6592-1199
Keywords
Human-Media Interaction, Multimodal Feedback, Gestures Analysis, Gestures analysis, Human-Media Interaction, Multimodal Feedback, Human-media interaction, Multimodal feedback, Gestures Analysis, 2024 OA procedure
Turkish CoHE Thesis Center URL
Fields of Science
03 medical and health sciences, 0302 clinical medicine, 05 social sciences, 0501 psychology and cognitive sciences
Citation
WoS Q
N/A
Scopus Q
N/A
OpenCitations Citation Count
4
Source
21st ACM International Conference on Multimodal Interaction (ICMI) -- OCT 14-18, 2019 -- Suzhou, PEOPLES R CHINA
Volume
Issue
Start Page
501
End Page
503
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CrossRef : 4
Scopus : 7
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Mendeley Readers : 16
SCOPUS™ Citations
7
checked on Feb 04, 2026
Web of Science™ Citations
4
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1
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