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  4. Visual-interactive similarity search for complex objects by example of soccer player analysis
 
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2017
Conference Paper
Titel

Visual-interactive similarity search for complex objects by example of soccer player analysis

Abstract
The definition of similarity is a key prerequisite when analyzing complex data types in data mining, information retrieval, or machine learning. However, the meaningful definition is often hampered by the complexity of data objects and particularly by different notions of subjective similarity latent in targeted user groups. Taking the example of soccer players, we present a visual-interactive system that learns users' mental models of similarity. In a visual-interactive interface, users are able to label pairs of soccer players with respect to their subjective notion of similarity. Our proposed similarity model automatically learns the respective concept of similarity using an active learning strategy. A visual-interactive retrieval technique is provided to validate the model and to execute downstream retrieval tasks for soccer player analysis. The applicability of the approach is demonstrated in different evaluation strategies, including usage scenarions and cross-validation tests.
Author(s)
Bernard, Jürgen
TU Darmstadt GRIS
Ritter, Christian
TU Darmstadt GRIS
Sessler, David
TU Darmstadt GRIS
Zeppelzauer, Matthias
Univ. St. Pölten
Kohlhammer, Jörn
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Fellner, Dieter W.
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Hauptwerk
12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017. Proceedings. Vol.3
Konferenz
International Joint Conference on Computer Vision and Computer Graphics Theory and Applications (VISIGRAPP) 2017
International Conference on Information Visualization Theory and Applications (IVAPP) 2017
Thumbnail Image
DOI
10.5220/0006116400750087
Language
English
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Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • information visualization

  • Visual analytics

  • similarity search

  • feature selection

  • complex data

  • information retrieval

  • Lead Topic: Visual Computing as a Service

  • Research Line: Computer graphics (CG)

  • Research Line: Modeling (MOD)

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