Paper Info
Title
Integrated Real-Time Data Stream Analysis and Sketch-Based Video Retrieval in Team Sports
Abstract
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.
Year
DOI
Venue
2018
10.1109/BigData.2018.8622592
2018 IEEE International Conference on Big Data (Big Data)
Keywords
Field
DocType
Big Data Processing and Analysis,Complex Event Detection,Data Stream Analysis,Sketch Interfaces,SpatioTemporal Video Retrieval,Team Sports Analysis
Data mining,Data stream mining,Information retrieval,Video retrieval,Real-time data,Computer science,Event data,Stream processing,Big data,Data stream analysis,Sketch
Conference
ISSN
ISBN
Citations 
2639-1589
978-1-5386-5036-3
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Lukas Probst133.10
Fabian Rauschenbach200.34
H. Schuldt39820.60
Philipp Seidenschwarz402.03
Martin Rumo502.70