Event Detection in Soccer Video Based on Self-Attention

Sifan Ma, En Shao, Xiang Xie*, Wei Liu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)
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摘要

Sports big data technology has become an important technological means of modern sports competition. This paper realizes a novel soccer video event detection algorithm based on self-attention. It extracts key frames through self-attention mechanism, and then obtains the characteristics of time window level through NetVLAD network. Finally, each video clip is classified into 4 types of events (goals, red/yellow card, substitutions and others). The experimental results show that with the introduction of the self-attention mechanism, the classification accuracy on the SoccerNet data set has improved from 67.2% to 74.3%.

源语言英语
主期刊名2020 IEEE 6th International Conference on Computer and Communications, ICCC 2020
出版商Institute of Electrical and Electronics Engineers Inc.
1852-1856
页数5
ISBN(电子版)9781728186351
DOI
出版状态已出版 - 11 12月 2020
活动6th IEEE International Conference on Computer and Communications, ICCC 2020 - Chengdu, 中国
期限: 11 12月 202014 12月 2020

出版系列

姓名2020 IEEE 6th International Conference on Computer and Communications, ICCC 2020

会议

会议6th IEEE International Conference on Computer and Communications, ICCC 2020
国家/地区中国
Chengdu
时期11/12/2014/12/20

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引用此

Ma, S., Shao, E., Xie, X., & Liu, W. (2020). Event Detection in Soccer Video Based on Self-Attention. 在 2020 IEEE 6th International Conference on Computer and Communications, ICCC 2020 (页码 1852-1856). 文章 9344896 (2020 IEEE 6th International Conference on Computer and Communications, ICCC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCC51575.2020.9344896