A multi scale motion saliency method for keyframe extraction from motion capture sequences
Author
Halit, Cihan
Advisor
Çapın, Tolga
Date
2010Publisher
Bilkent University
Language
English
Type
ThesisItem 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 di cult 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 analyzed by a dimension reduction technique, Principal Component
Analysis. 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. We have
quanti ed our results both mathematically and through user tests.