Combining Qualitative and Quantitative Analysis in Football with SportSense

被引:1
|
作者
Seidenschwarz, Philipp [1 ,2 ]
Jonsson, Adalsteinn [1 ]
Rauschenbach, Fabian [1 ]
Rumo, Martin [2 ]
Probst, Lukas [1 ]
Schuldt, Heiko [1 ]
机构
[1] Univ Basel, Dept Math & Comp Sci, Basel, Switzerland
[2] Bern Univ Appl Sci, Ctr Technol Sports & Med, Nidau, Switzerland
关键词
Data-Driven Analysis; Video Analysis; Sketch-based Video Retrieval; Quantitative and Qualitative Match Analysis; Performance Analysis; Spatio-Temporal Data; Graphical User Interfaces;
D O I
10.1145/3347318.3355519
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The task of performance analysts and coaches in football (and other team sports) is manifold: they need to assess the performance of individual players of their team, they need to monitor the interaction between players of their team and their tactical compliance, and they need to analyze other teams. For this, they usually have to consider various sources of information: video footage, tracking data, event data, and aggregated statistics. On the basis of this information, analysts have to generate quantitative summaries of events including their spatial and temporal distribution, and the qualitative assessment of individual events by considering the associated video footage. In this paper, we present SportSense, a system for sports video retrieval, that seamlessly combines quantitative and qualitative analysis. For this, SportSense provides dedicated filters that help analysts in selecting the events they are interested in. Moreover, it supports the comparative analysis of stored queries with respect to specific parameters. Essentially, SportSense allows to easily switch between qualitative and quantitative analyses to support coaches and analysts in a best possible way in their task. Based on a user study, we show the effectiveness of the proposed approach.
引用
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页码:34 / 41
页数:8
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