Integrated real-time data stream analysis and sketch-based video retrieval in team sports

Probst, Lukas; Rauschenbach, Fabian; Schuldt, Heiko; Seidenschwarz, Philipp; Rumo, Martin (2018). Integrated real-time data stream analysis and sketch-based video retrieval in team sports In: Abe, Naoki (ed.) 2018 IEEE International Conference on Big Data (pp. 548-555). Piscataway, NJ, USA: IEEE 10.1109/BigData.2018.8622592

Full text not available from this repository. (Request a copy)

Big data in sports comes with two closely related challenges: first, the online analysis of continuous data streams to identify characteristic events and second, advanced retrieval in video collections and/or event data that help game analysts to search for characteristic video scenes. For both challenges, dedicated big data stream processing and retrieval systems have been developed. However, there is no infrastructure yet that integrates retrieval and automatic online data stream analysis. In this paper, we close this gap by seamlessly combining STREAMTEAM, our real-time team sports analysis system, and SPORTSENSE, our team sports video retrieval system, to an integrated team sports analysis infrastructure that (i) automatically detects (collaborative) events and generates statistics in real-time based on a continuous stream of raw positions, (ii) visualizes the analysis results in real-time, (iii) stores the analysis results persistently for offline activities, and (iv) leverages the stored analysis results for intuitive sketch-based video retrieval.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	Swiss Federal Institute of Sports Magglingen SFISM > EHSM - Leistungssport > Sporttechnologie
Name:	Probst, Lukas; Rauschenbach, Fabian; Schuldt, Heiko; Seidenschwarz, Philipp; Rumo, Martin and Abe, Naoki
ISBN:	9781538650356
Publisher:	IEEE
Language:	English
Submitter:	Service Account
Date Deposited:	08 Dec 2021 13:32
Last Modified:	08 Dec 2021 13:32
Publisher DOI:	10.1109/BigData.2018.8622592
Uncontrolled Keywords:	Team sports Data analysis
URI:	https://arbor.bfh.ch/id/eprint/10441