Key Frame Extraction from Motion Capture Data by Curve Saliency

We propose a new method for extracting key frames from a motion capture sequence. Our proposed approach consists of two steps. In the first step, we propose a new metric, curve saliency, for motion curves that specifies the important frames of the motion. In the second step, we detect the final key frames by clustering the computed important frames. As a result of our experimental results, on the average, by using only 3.7% of all frames as key frames, we can represent the captured motion sequence