Back to articles
Volume: 28 | Article ID: art00027
Image
TennisMatchViz: A Tennis Match Visualization System
Xi He
Ying Zhu
  DOI :  10.2352/ISSN.2470-1173.2016.1.VDA-504  Published Online :  February 2016
Abstract

Sports data visualization can be a useful tool for analyzing or presenting sports data. In this paper, we present a new technique for visualizing tennis match data. It is designed as a supplement to online live streaming or live blogging of tennis matches. It can retrieve data directly from a tennis match live blogging web site and display 2D interactive view of match statistics. Therefore, it can be easily integrated with the current live blogging platforms used by many news organizations. The visualization addresses the limitations of the current live coverage of tennis matches by providing a quick overview and also a great amount of details on demand. The visualization is designed primarily for general public, but serious fans or tennis experts can also use this visualization for analyzing match statistics. We demonstrate this visualization technique with the example of 2015 French Open final match.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
Views 19
Downloads 7
 DOI 10.2352/ISSN.2470-1173.2016.1.VDA-504
 articleview.views 19
 articleview.downloads 7
  Cite this article 

Xi He, Ying Zhu, "TennisMatchViz: A Tennis Match Visualization System"  in Proc. IS&T Int’l. Symp. on Electronic Imaging: Visualization and Data Analysis,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.1.VDA-504

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
10.2352/ISSN.2470-1173.2016.1.VDA-504
2470-1173(20160214)2016:1L.1;1-
s27.phd
/ist/ei/2016/00002016/00000001/art00027
TennisMatchViz: A Tennis Match Visualization System
HeXi
ZhuYing
14022016
2016
1
1
7
2016
Sports data visualization can be a useful tool for analyzing or presenting sports data. In this paper, we present a new technique for visualizing tennis match data. It is designed as a supplement to online live streaming or live blogging of tennis matches. It can retrieve data directly from a tennis match live blogging web site and display 2D interactive view of match statistics. Therefore, it can be easily integrated with the current live blogging platforms used by many news organizations. The visualization addresses the limitations of the current live coverage of tennis matches by providing a quick overview and also a great amount of details on demand. The visualization is designed primarily for general public, but serious fans or tennis experts can also use this visualization for analyzing match statistics. We demonstrate this visualization technique with the example of 2015 French Open final match.