Motion retrieval based on movement notation language: Motion Capture and Retrieval

  • Authors:
  • Tao Yu;Xiaojie Shen;Qilei Li;Weidong Geng

  • Affiliations:
  • -;-;-;College of Computer Science, Zhejiang University, 310027 Hangzhou, China.

  • Venue:
  • Computer Animation and Virtual Worlds - CASA 2005
  • Year:
  • 2005

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Abstract

With the increased availability of motion capture data, the volume of motion library grows so large that it is difficult for animators to manually browse the dataset to search desired motions for reuse. To address this issue, we implement a framework, which allows the user to retrieve motions via Labanotation. For each motion clip in the library, we generate a corresponding Labanotation sequence as additional motion property. A similarity metric for Labanotation sequences is proposed and used to search the motions that have similar Laban descriptions. Our search algorithm is able to retrieve motion segments that only match part of the query Laban sequence. Then based on dynamic programming, these segments are stitched together to form a smooth output motion that is in an optimal sense of matching query Laban sequence. Experimental results demonstrate our method could effectively improve the utilization of motion data. Copyright © 2005 John Wiley & Sons, Ltd.