The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Video Sequence Analysis for On-Table Tennis Player Ranking and Analysis
Abstract
With the rapidly developing of the scientific research in the field of sports, big data analytics and information science are used to carry out technical and tactical statistical analysis of competition or training videos. The table tennis is a skill oriented sport. The technique and tactics in table tennis are the core factors to win the game. With the endlessly emerging innovative playing techniques and tactics, the players have their own competition styles. According to the competition events among athletes, the athletes’ competition relationship network is constructed and the players’ ranking is established. The ranking can be used to help table tennis players improve daily training and understand their ability. In this paper, the table tennis players’ ranking is established their competition videos and their prestige scores in the table tennis players’ competition relationship network.
Related Content
|
Wanqiao Wang, Jian Su, Hui Zhang, Luyao Guan, Qingrong Zheng, Zhuofan Tang, Huixia Ding.
© 2024.
16 pages.
|
|
.
© 2024.
|
|
Xinhong You, Pengping Zhang, Minglin Liu, Lingqi Lin, Shuai Li.
© 2023.
18 pages.
|
|
Nan Zhao, Jiaye Wang, Bo Jin, Ru Wang, Minghu Wu, Yu Liu, Lufeng Zheng.
© 2023.
17 pages.
|
|
Tongyao Nie, Xinguang Lv.
© 2023.
14 pages.
|
|
Ali Bonyadi Naeini, Ali Golbazi Mahdipour, Rasam Dorri.
© 2023.
24 pages.
|
|
Agnitè Maxim Wilfrid Straiker Edoh, Tahirou Djara, Abdou-Aziz Sobabe Ali Tahirou, Antoine Vianou.
© 2023.
16 pages.
|
|
|