Automated extraction and parameterization of motions in large data sets
ACM SIGGRAPH 2004 Papers
A system for analyzing and indexing human-motion databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Efficient content-based retrieval of motion capture data
ACM SIGGRAPH 2005 Papers
An efficient search algorithm for motion data using weighted PCA
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Indexing large human-motion databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Database techniques with motion capture
ACM SIGGRAPH 2007 courses
A group of novel approaches and a toolkit for motion capture data reusing
Multimedia Tools and Applications
A generic approach to design and querying of multi-purpose human motion database
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Progress in information retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
3D motion retrieval based on double index and user interaction
International Journal of Information and Communication Technology
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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.