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Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis [article]

Jürgen Bernard and Christian Ritter and David Sessler and Matthias Zeppelzauer and Jörn Kohlhammer and Dieter Fellner
2017 arXiv   pre-print
Taking the example of soccer players, we present a visual-interactive system that learns users' mental models of similarity.  ...  A visual-interactive retrieval technique is provided to validate the model and to execute downstream retrieval tasks for soccer player analysis.  ...  CONCLUSION We presented a tool for the visual-interactive similarity search for complex data objects by example of soccer players.  ... 
arXiv:1703.03385v1 fatcat:xfzr3gp4rzdn5dad4oxuaifhui

Visual-Interactive Search for Soccer Trajectories to Identify Interesting Game Situations

Lin Shao, Dominik Sacha, Benjamin Neldner, Manuel Stein, Tobias Schreck
2016 IS&T International Symposium on Electronic Imaging Science and Technology  
We present a system for searching trajectory data in soccer matches by means of an interactive search interface that enables the user to sketch a situation of interest.  ...  Recently, sports analytics has turned into an important research area of visual analytics and may provide interesting findings, such as the best player of the season, for various kinds of sports.  ...  Acknowledgments This work was partially funded by the Juniorprofessor Program of the Landesstiftung Baden-Württemberg within the research project Visual Search and Analysis Methods for Time-Oriented Annotated  ... 
doi:10.2352/issn.2470-1173.2016.1.vda-510 fatcat:75ce7ru545arjayf6dix3xycrq

Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction

Manuel Stein, Johannes Häußler, Dominik Jäckle, Halldór Janetzko, Tobias Schreck, Daniel Keim
2015 ISPRS International Journal of Geo-Information  
We propose a visual analysis system for interactive identification of soccer patterns and situations being of interest to the analyst.  ...  The system includes a range of useful visualizations to show the ranking of features over time and plots the change of game play situations, both helping the analyst to interpret complex game situations  ...  The paper was further revised by Tobias Schreck and Daniel A. Keim, who gave substantial contributions to the design and analysis of this work.  ... 
doi:10.3390/ijgi4042159 fatcat:psoocu3wr5cp3d3lksbxvkhspu

From Movement to Events: Improving Soccer Match Annotations [chapter]

Manuel Stein, Daniel Seebacher, Tassilo Karge, Tom Polk, Michael Grossniklaus, Daniel A. Keim
2018 Msphere  
Incorporating Allen's interval algebra into a visual analytics system, we enable analysts to visually define as well as search for complex, hierarchical events.  ...  The results of our evaluation show that the required annotation time for complete matches by using our system can be reduced to a few seconds while achieving a similar level of performance.  ...  Discussion and Conclusion Our proposed system enables analysts to define and search for complex soccer events in large amounts of player and ball movement data.  ... 
doi:10.1007/978-3-030-05710-7_11 fatcat:2co2yx6jz5ch3okydtvpjeali4

Bring It to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis

Manuel Stein, Halldor Janetzko, Andreas Lamprecht, Thorsten Breitkreutz, Philipp Zimmermann, Bastian Goldlucke, Tobias Schreck, Gennady Andrienko, Michael Grossniklaus, Daniel A. Keim
2018 IEEE Transactions on Visualization and Computer Graphics  
Furthermore, we apply advanced trajectory and movement analysis techniques to derive relevant team sport analytic measures for region, event and player analysis in the case of soccer analysis.  ...  Movement visualization techniques like interaction spaces (left) and free spaces (right) allow to analyze and explore soccer movement data in context of the original video.  ...  ACKNOWLEDGMENTS This work was supported by the ERC Starting Grant "Light Field Imaging and Analysis" and the SFB Transregio 161 "Quantitative Methods for Visual Computing".  ... 
doi:10.1109/tvcg.2017.2745181 pmid:28866578 fatcat:yqbnasxv4zbjjojq7wao7xxf7e

Dynamic Visual Abstraction of Soccer Movement

D. Sacha, F. Al-Masoudi, M. Stein, T. Schreck, D. A. Keim, G. Andrienko, H. Janetzko
2017 Computer graphics forum (Print)  
On the right, several player trajectories are shown for a few seconds of movement revealing similarly moving groups on the soccer pitch.  ...  Abstract Trajectory-based visualization of coordinated movement data within a bounded area, such as player and ball movement within a soccer pitch, can easily result in visual crossings, overplotting,  ...  Acknowledgments We wish to thank Andreas Riederer for his valuable feedback and discussions. The soccer data used in this publication was generously provided by Prozone/Stats.  ... 
doi:10.1111/cgf.13189 fatcat:h33icqxirvegjdzcdkc4a2naym

Video-based Analysis of Soccer Matches

Maximilian T. Fischer, Daniel A. Keim, Manuel Stein
2019 Proceedings Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports - MMSports '19  
This paper provides a comprehensive overview and categorization of the methods developed for the video-based visual analysis of soccer matches.  ...  However, while many visualization techniques for soccer have been developed in recent years, few have been directly applied to the video-based analysis of soccer matches.  ...  The central aim of video-based soccer analysis can be regarded as searching for ways to visualize relevant match information inside the actual video.  ... 
doi:10.1145/3347318.3355515 dblp:conf/mm/FischerKS19 fatcat:coxsymsfkbbrpcj2r4fxboag5e

Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis

Manuel Stein, Thorsten Breitkreutz, Johannes Haussler, Daniel Seebacher, Christoph Niederberger, Tobias Schreck, Michael Grossniklaus, Daniel Keim, Halldor Janetzko
2018 2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)  
In visual sports analytics, a range of different visual-interactive analysis techniques have been proposed, e.g., based on visualization using for example trajectories, graphs, heatmaps, and animations  ...  However, an interactive selection of appropriate visualizations is a difficult, complex, and timeconsuming task.  ...  ACKNOWLEDGMENT We thank our domain experts for their valuable feedback and discussions.  ... 
doi:10.1109/bdva.2018.8534022 dblp:conf/bdva/SteinBHSNSGKJ18 fatcat:m3dicdn6zzch5f2mcqjvnndl44

From game events to team tactics: Visual analysis of dangerous situations in multi-match data

Manuel Stein, Halldor Janetzko, Andreas Lamprecht, Daniel Seebacher, Tobias Schreck, Daniel Keim, Michael Grossniklaus
2016 2016 1st International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW)  
In this work, we propose a set of effective visual-interactive methods for investigating set plays as a first step towards semi-automated analysis of tactic behavior.  ...  In our analytic design, we follow the so-called Informationseeking Mantra by Ben Shneiderman by providing overview visualizations, interactive refinements, and detailed analysis views.  ...  Acknowledgments The soccer data used in this publication were generously provided by Prozone.  ... 
doi:10.1109/tishw.2016.7847777 dblp:conf/tishw/SteinJLSSKG16 fatcat:cfunfdkchfduboivdj27luuffe

Director's Cut: Analysis and Annotation of Soccer Matches

Manuel Stein, Halldor Janetzko, Thorsten Breitkreutz, Daniel Seebacher, Tobias Schreck, Michael Grossniklaus, Iain D. Couzin, Daniel A. Keim
2016 IEEE Computer Graphics and Applications  
Acknowledgments We thank our subject experts for their valuable feedback and discussions. The soccer data used in this publication were generously provided by Prozone.  ...  First, in visual and interactive data analysis, there is a growing need for effective tools to understand, search, and analyze large datasets as the size and complexity of data increases.  ...  If there are, for example, more players in the right half of the soccer pitch, it would be beneficial to pass to the left half of the soccer pitch.  ... 
doi:10.1109/mcg.2016.102 pmid:28113148 fatcat:32dieebg6zgjxc4zhaxanxe2ki

Mental Rotation Performance in Male Soccer Players

Petra Jansen, Jennifer Lehmann, Jessica Van Doren, Natasha M. Maurits
2012 PLoS ONE  
It is the main goal of this study to investigate the visual-spatial cognition in male soccer players.  ...  It is a new finding that soccer-players showed a faster reaction time for embodied stimuli.  ...  We thank Lukas Ulrich and Johannes Krinniger for administering the task. Author Contributions  ... 
doi:10.1371/journal.pone.0048620 pmid:23119073 pmcid:PMC3484043 fatcat:dbojhevhdva3tj45dkigxhnywy

How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects

Manuel Stein, Halldór Janetzko, Daniel Seebacher, Alexander Jäger, Manuel Nagel, Jürgen Hölsch, Sven Kosub, Tobias Schreck, Daniel Keim, Michael Grossniklaus
2017 Data  
Automatic and interactive data analysis is instrumental in making use of increasing amounts of complex data.  ...  We identify important components of team sport data, exemplified by the soccer case, and explain how to analyze team sport data in general.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/data2010002 fatcat:gx2tiq35r5gw5ks5nflc3gmf6i

An overview of Human Action Recognition in sports based on Computer Vision

Kristina Host, Marina Ivašić-Kos
2022 Heliyon  
As an action that can occur in the sports field refers to a set of physical movements performed by a player in order to complete a task using their body or interacting with objects or other persons, actions  ...  Because of that, a novel systematization of actions based on complexity and level of performance and interactions is proposed.  ...  The serve in tennis is an example of complex action consisting of two interactions with objects.  ... 
doi:10.1016/j.heliyon.2022.e09633 pmid:35706961 pmcid:PMC9189896 fatcat:5o4x4ywsanfcfo6wvkoc2g6lym

Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real World

Matthias Kraus, Niklas Weiler, Thorsten Breitkreutz, Daniel Keim, Manuel Stein
2019 Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
Therefore, conclusions and reasoning based on the analysis of this data pertain to the world represented by the data, and may not be valid for the real world.  ...  However, the considered data for the analysis is usually only a small fraction of the actual real-world data and lacks above all in context information.  ...  This could, for instance, be achieved as follows: the algorithm searches in video frames for objects using deep neural networks and collects for each object all frames the object appears in.  ... 
doi:10.5220/0007257400190027 dblp:conf/grapp/KrausWBKS19 fatcat:u6vjmzsp75hk7our254ce4fw3u

Data-driven Analysis for Understanding Team Sports Behaviors [article]

Keisuke Fujii
2021 arXiv   pre-print
Estimation of the rules from data, i.e., data-driven approaches such as machine learning, provides an effective way for the analysis of such behaviors.  ...  This survey focuses on data-driven analysis for quantitative understanding of invasion team sports behaviors such as basketball and football, and introduces two main approaches for understanding such multi-agent  ...  Acknowledgements I would like to thank Atom Scott, Masaki Onishi, and Rory Bunker for their valuable comments on this work.  ... 
arXiv:2102.07545v2 fatcat:hadans3a5nbbzcq4uezz2utj2e
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