C4.5: programs for machine learning
C4.5: programs for machine learning
Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Motion Retrieval and Synthesis Based on Posture Features Indexing
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
3D motion retrieval with motion index tree
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Action synopsis: pose selection and illustration
ACM SIGGRAPH 2005 Papers
Efficient content-based retrieval of motion capture data
ACM SIGGRAPH 2005 Papers
Key frame selection by motion analysis
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Generating production rules from decision trees
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Content-based retrieval for human motion data
Journal of Visual Communication and Image Representation
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In order to retrieve similar motion data from Mocap database, each human joint's motion clip is regarded as a bag, while each of its segments is regarded as an instance. 3D temporal-spatial features are extracted and data driven decision trees are automatically constructed to reflect the influence of each point during the comparison of motion similarity. At last we use the method of multiple instance retrieval to complete motion retrieval. Experiment results show that our approaches are effective for motion data retrieval.