Football match intelligent editing system based on deep learning

被引：10

作者：

Wang, Bin ^{[1
]}

Shen, Wei ^{[1
,2
]}

Chen, FanSheng ^{[3
]}

Zeng, Dan ^{[1
]}

机构：

[1] Shanghai Univ, Shanghai Inst Adv Commun & Data Sci, Key Lab Specialty Fiber Opt & Opt Access Networks, Joint Int ResearchLab Specialty Fiber Opt & Adv C, Shanghai 200444, Peoples R China

[2] Johns Hopkins Univ, Dept Comp Sci, Baltimore, MD 21218 USA

[3] Chinese Acad Sci, Key Lab Intelligent Infrared Percept, Shanghai 200083, Peoples R China

来源：

KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS | 2019年 / 13卷 / 10期

基金：

中国国家自然科学基金;

关键词：

live football match; intelligent editing system; highlight extraction; deep learning; object detection;

D O I：

10.3837/tiis.2019.10.017

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Football (soccer) is one of the most popular sports in the world. A huge number of people watch live football matches by TV or Internet. A football match takes 90 minutes, but viewers may only want to watch a few highlights to save their time. As far as we know, there is no such a product that can be put into use to achieve intelligent highlight extraction from live football matches. In this paper, we propose an intelligent editing system for live football matches. Our system can automatically extract a series of highlights, such as goal, shoot, corner kick, red yellow card and the appearance of star players, from the live stream of a football match. Our system has been integrated into live streaming platforms during the 2018 FIFA World Cup and performed fairly well.

引用

页码：5130 / 5143

页数：14

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