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Video Data

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Computer Science in Sport

Abstract

In this chapter, applications of video data for sports analysis are discussed using examples from the domain of soccer. Videos depict sport-specific actions, poses and movements, which contain rich information for further analyses. Computer vision approaches allow us to automatically enrich videos and position data with time-accurate information, for example, to enable efficient search in videos and large video collections. In addition, position data can be estimated from video recordings, enabling a range of other applications. In the future, the development of real-time approaches could help to evaluate and analyze live actions, events and movements in individual and team sports.

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Correspondence to Ralph Ewerth .

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© 2024 The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature

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Müller-Budack, E., Gritz, W., Ewerth, R. (2024). Video Data. In: Memmert, D. (eds) Computer Science in Sport. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-68313-2_4

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