EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos

要旨

The popularity of racket sports (e.g., tennis and table tennis) leads to high demands for data analysis, such as notational analysis, on player performance. While sports videos offer many benefits for such analysis, retrieving accurate information from sports videos could be challenging. In this paper, we propose EventAnchor, a data analysis framework to facilitate interactive annotation of racket sports video with the support of computer vision algorithms. Our approach uses machine learning models in computer vision to help users acquire essential events from videos (e.g., serve, the ball bouncing on the court) and offers users a set of interactive tools for data annotation. An evaluation study on a table tennis annotation system built on this framework shows significant improvement of user performances in simple annotation tasks on objects of interest and complex annotation tasks requiring domain knowledge.

著者
Dazhen Deng
Zhejiang University, Hangzhou, Zhejiang, China
Jiang Wu
Zhejiang University, Hangzhou, Zhejiang, China
Jiachen Wang
Zhejiang University, Hangzhou, Zhejiang, China
Yihong Wu
Zhejiang University, Hangzhou, China
Xiao Xie
Zhejiang University, Hangzhou, Zhejiang, China
Zheng Zhou
Department of Sport Science, College of Education, Hangzhou, CHN/Zhejiang, China
Hui Zhang
Zhejiang University, Hangzhou, Zhejiang Province, China
Xiaolong (Luke). Zhang
Penn State, University Park, Pennsylvania, United States
Yingcai Wu
Zhejiang University, Hangzhou, Zhejiang, China
DOI

10.1145/3411764.3445431

論文URL

https://doi.org/10.1145/3411764.3445431

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Computational AI Development and Explanation

[B] Paper Room 02, 2021-05-14 01:00:00~2021-05-14 03:00:00 / [C] Paper Room 02, 2021-05-14 09:00:00~2021-05-14 11:00:00 / [A] Paper Room 02, 2021-05-13 17:00:00~2021-05-13 19:00:00
Paper Room 02
12 件の発表
2021-05-14 01:00:00
2021-05-14 03:00:00
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