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Combining Qualitative and Quantitative Analysis in Football with SportSense

Seidenschwarz, Philipp and Jonsson, Adalsteinn and Rauschenbach, Fabian and Rumo, Martin and Probst, Lukas and Schuldt, Heiko. (2019) Combining Qualitative and Quantitative Analysis in Football with SportSense. In: Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports. pp. 34-41.

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Official URL: https://edoc.unibas.ch/73836/

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Abstract

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.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Databases and Information Systems (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Seidenschwarz, Philipp German and Probst, Lukas
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:ACM
e-ISBN:978-1-4503-6911-4
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:11 Mar 2020 08:38
Deposited On:11 Mar 2020 08:38

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