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

Jürgen Bernard, Christian Ritter, David Sessler, Matthias Zeppelzauer, Jörn Kohlhammer, Dieter Fellner

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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.
Original languageEnglish
Title of host publicationVISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Pages75 - 87
Volume3
ISBN (Electronic)978-989758228-8
DOIs
Publication statusPublished - 9 Mar 2017
Externally publishedYes
Event12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISAPP 2017 - Porto, Portugal
Duration: 27 Feb 20171 Mar 2017
Conference number: 12
http://www.grapp.visigrapp.org/?y=2017

Conference

Conference12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Abbreviated titleVISIGRAPP
Country/TerritoryPortugal
CityPorto
Period27/02/171/03/17
Internet address

Keywords

  • cs.LG
  • cs.IR

Fields of Expertise

  • Information, Communication & Computing

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