Constructing Spaces and Times for Tactical Analysis in Football
暂无分享,去创建一个
Stefan Wrobel | Georg Fuchs | Gennady Andrienko | Dirk Hecker | Natalia Andrienko | Gabriel Anzer | Pascal Bauer | Guido Budziak | Hendrik Weber | S. Wrobel | G. Andrienko | N. Andrienko | D. Hecker | H. Weber | G. Fuchs | Pascal Bauer | Gabriel Anzer | Guido Budziak
[1] Shashi K. Gadia,et al. A homogeneous relational model and query languages for temporal databases , 1988, TODS.
[2] Daniel A. Keim,et al. Dynamic Visual Abstraction of Soccer Movement , 2017, Comput. Graph. Forum.
[3] Daniel Memmert,et al. Revolution im Profifußball , 2017 .
[4] Tobias Schreck,et al. Visual-Interactive Search for Soccer Trajectories to Identify Interesting Game Situations , 2016, Visualization and Data Analysis.
[5] Daniel A. Keim,et al. Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction , 2015, ISPRS Int. J. Geo Inf..
[6] Jie Li,et al. Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling , 2020, IEEE Transactions on Visualization and Computer Graphics.
[7] I. Giardina. Collective Animal Behavior David J.T. Sumpter Collective Animal Behavior , 2011, Animal Behaviour.
[8] Ross Maciejewski,et al. Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions , 2017, IEEE Transactions on Intelligent Transportation Systems.
[9] Gennady L. Andrienko,et al. Spatial Generalization and Aggregation of Massive Movement Data , 2011, IEEE Transactions on Visualization and Computer Graphics.
[10] Joachim Gudmundsson,et al. Football analysis using spatio-temporal tools , 2012, Comput. Environ. Urban Syst..
[11] Daniel Link,et al. Data Analytics in Professional Soccer , 2018, Springer Fachmedien Wiesbaden.
[12] Andreas Buja,et al. Interactive data visualization using focusing and linking , 1991, Proceeding Visualization '91.
[13] Ben Shneiderman,et al. Dynamic Query Tools for Time Series Data Sets: Timebox Widgets for Interactive Exploration , 2004, Inf. Vis..
[14] Dieter W. Fellner,et al. Feature-based automatic identification of interesting data segments in group movement data , 2014, Inf. Vis..
[15] Jonathan Wilson,et al. Inverting The Pyramid: The History of Soccer Tactics , 2008 .
[16] Daniel A. Keim,et al. Bring It to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis , 2018, IEEE Transactions on Visualization and Computer Graphics.
[17] Gennady L. Andrienko,et al. Understanding movement data quality , 2016, J. Locat. Based Serv..
[18] Joachim Gudmundsson,et al. Spatio-Temporal Analysis of Team Sports , 2016, ACM Comput. Surv..
[19] Gennady L. Andrienko,et al. Clustering Trajectories by Relevant Parts for Air Traffic Analysis , 2018, IEEE Transactions on Visualization and Computer Graphics.
[20] Charles Perin,et al. SoccerStories: A Kick-off for Visual Soccer Analysis , 2013, IEEE Transactions on Visualization and Computer Graphics.
[21] Gennady L. Andrienko,et al. Coordinate Transformations for Characterization and Cluster Analysis of Spatial Configurations in Football , 2016, ECML/PKDD.
[22] Daniel A. Keim,et al. Director's Cut: Analysis and Annotation of Soccer Matches , 2016, IEEE Computer Graphics and Applications.
[23] Gennady L. Andrienko,et al. Analysis of Flight Variability: a Systematic Approach , 2019, IEEE Transactions on Visualization and Computer Graphics.
[24] Cyril Ray,et al. Visual exploration of movement and event data with interactive time masks , 2017, Vis. Informatics.
[25] Natalia Adrienko,et al. Spatial Generalization and Aggregation of Massive Movement Data , 2011 .
[26] Jason Dykes,et al. Visual analysis of pressure in football , 2017, Data Mining and Knowledge Discovery.
[27] Jarke J. van Wijk,et al. Eurographics/ Ieee-vgtc Symposium on Visualization 2009 Visualization of Vessel Movements , 2022 .
[28] Daniel A. Keim,et al. Tackling Similarity Search for Soccer Match Analysis: Multimodal Distance Measure and Interactive Query Definition , 2019, IEEE Computer Graphics and Applications.
[29] Arie Segev,et al. A glossary of temporal database concepts , 1992, SGMD.
[30] Chris Weaver,et al. Cross-Filtered Views for Multidimensional Visual Analysis , 2010, IEEE Transactions on Visualization and Computer Graphics.
[31] Wei Chen,et al. ForVizor: Visualizing Spatio-Temporal Team Formations in Soccer , 2019, IEEE Transactions on Visualization and Computer Graphics.
[32] Christian Tominski,et al. Visualization of Trajectory Attributes in Space–Time Cube and Trajectory Wall , 2014 .
[33] Jürgen Perl,et al. Tactics Analysis in Soccer - An Advanced Approach , 2013, Int. J. Comput. Sci. Sport.
[34] Gennady L. Andrienko,et al. Spatio-temporal aggregation for visual analysis of movements , 2008, 2008 IEEE Symposium on Visual Analytics Science and Technology.
[35] Louise Barrett,et al. Space Transformation for Understanding Group Movement , 2013, IEEE Transactions on Visualization and Computer Graphics.
[36] Daniel A. Keim,et al. Feature-driven visual analytics of soccer data , 2014, 2014 IEEE Conference on Visual Analytics Science and Technology (VAST).
[37] Sridha Sridharan,et al. Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data , 2014, 2014 IEEE International Conference on Data Mining.
[38] Sridha Sridharan,et al. Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data , 2014, 2014 IEEE International Conference on Data Mining Workshop.
[39] Joachim Gudmundsson,et al. Automated Classification of Passing in Football , 2015, PAKDD.