An Information Retrieval System for Motion Capture Data

  • Bastian Demuth
  • Tido Röder
  • Meinard Müller
  • Bernhard Eberhardt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3936)


Motion capturing has become an important tool in fields such as sports sciences, biometrics, and particularly in computer animation, where large collections of motion material are accumulated in the production process. In order to fully exploit motion databases for reuse and for the synthesis of new motions, one needs efficient retrieval and browsing methods to identify similar motions. So far, only ad-hoc methods for content-based motion retrieval have been proposed, which lack efficiency and rely on quantitative, numerical similarity measures, making it difficult to identify logically related motions. We propose an efficient motion retrieval system based on the query-by-example paradigm, which employs qualitative, geometric similarity measures. This allows for intuitive and interactive browsing in a purely content-based fashion without relying on textual annotations. We have incorporated this technology in a novel user interface facilitating query formulation as well as visualization and ranking of search results.


Motion Capture Dynamic Time Warping Information Retrieval System Computer Animation Inverted List 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bastian Demuth
    • 1
  • Tido Röder
    • 1
  • Meinard Müller
    • 1
  • Bernhard Eberhardt
    • 2
  1. 1.Institut für Informatik IIIUniversität BonnBonnGermany
  2. 2.Fachhochschule StuttgartHochschule der MedienStuttgartGermany

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