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Fast Motion retrieval with the distance input space

Thibaut Le Naour 1 Nicolas Courty 1 Sylvie Gibet 1
1 SEASIDE - SEarch, Analyze, Synthesize and Interact with Data Ecosystems
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, UBS - Université de Bretagne Sud
Abstract : Accessing and querying large motion databases can be a time consuming operation since motions are by essence big multivariate time series. However, with the help of good dimensionality reduction methods, this problem can be alleviated. Yet, it appears that the intitial motion representation space if of great importance with regards to the final performances. This paper advocates the idea that the distance representation space (i.e. ensemble of joint-to-joint distances of the skeleton), though bigger, can yield a powerful representation of the motion. In order to validate this idea, comparisons with rotation and position based representations are experimented in a motion retrieval task performed with the HDM05 motion database. The final resulting retrieval algorithm is very fast with satisfying performances.
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Submitted on : Sunday, December 9, 2012 - 12:23:16 PM
Last modification on : Monday, January 10, 2022 - 3:12:01 PM
Long-term archiving on: : Monday, March 11, 2013 - 12:07:29 PM


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  • HAL Id : hal-00762922, version 1


Thibaut Le Naour, Nicolas Courty, Sylvie Gibet. Fast Motion retrieval with the distance input space. Motion in Games, Nov 2012, Rennes, France. pp.362-365. ⟨hal-00762922⟩



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