Multiscale motion saliency for keyframe extraction from motion capture sequences
Article first published online: 8 NOV 2010
Copyright © 2010 John Wiley & Sons, Ltd.
Computer Animation and Virtual Worlds
Volume 22, Issue 1, pages 3–14, January/February 2011
How to Cite
Halit, C. and Capin, T. (2011), Multiscale motion saliency for keyframe extraction from motion capture sequences. Comp. Anim. Virtual Worlds, 22: 3–14. doi: 10.1002/cav.380
- Issue published online: 22 FEB 2011
- Article first published online: 8 NOV 2010
- motion saliency;
- motion capture;
- keyframe extraction;
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. Copyright © 2010 John Wiley & Sons, Ltd.