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      • Department of Computer Engineering
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      Multiscale motion saliency for keyframe extraction from motion capture sequences

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      Author
      Halit, C.
      Capin, T.
      Date
      2011
      Source Title
      Computer Animation and Virtual Worlds
      Print ISSN
      1546-4261
      Publisher
      John Wiley & Sons Ltd.
      Volume
      22
      Issue
      1
      Pages
      3 - 14
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      Motion capture is an increasingly popular animation technique; however data acquired by motion capture can become substantial. This makes it difficult to use motion capture data in a number of applications, such as motion editing, motion understanding, automatic motion summarization, motion thumbnail generation, or motion database search and retrieval. To overcome this limitation, we propose an automatic approach to extract keyframes from a motion capture sequence. We treat the input sequence as motion curves, and obtain the most salient parts of these curves using a new proposed metric, called 'motion saliency'. We select the curves to be analysed by a dimension reduction technique, Principal Component Analysis (PCA). We then apply frame reduction techniques to extract the most important frames as keyframes of the motion. With this approach, around 8% of the frames are selected to be keyframes for motion capture sequences. © 2011 John Wiley & Sons, Ltd.
      Keywords
      Keyframe extraction
      Motion capture
      Motion saliency
      PCA
      Animation techniques
      Multiscales
      Permalink
      http://hdl.handle.net/11693/22071
      Published Version (Please cite this version)
      http://dx.doi.org/10.1002/cav.380
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      • Department of Computer Engineering 1410
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