Motion editing is the key technology to improve the re-use of motion captured data and produce complex human animation. However

few techniques are capable of editing motion at high level. In this paper

wavelet transformation is introduced into motion multi-resolution analysis and some new algorithms

namely motion feature enhancement

motion fusion and motion feature extraction and synthesis

are proposed. Motion signal is decomposed into multi-resolution levels with wavelet analysis. The coarse level represents the overall pattern of a motion signal while the fine levels describe the details. Special motion style can be highlighted through enhancing the corresponding level content. And multiple motions can be fused by multi-resolution blending to create new motions somehow like to the blended motions. Special motion style can be synthesized into other motions by texturing them with related fine levels extracted from the related motions. The experiment shows that these algorithms are well suited for motion feature editing and enable animators to edit motion effectively at high level.