Retrieval of logically relevant 3D human motions by Adaptive Feature Selection with Graded Relevance Feedback

Author:

Tang Jeff K.T.,Leung Howard

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference33 articles.

1. Aksoy, S., Haralick, R.M., 2000. A weighted distance approach to relevance feedback. In: Proc. Internat. Conf. Pattern Recognition (ICPR00), Barcelona, Spain, vol. 4, pp. 812–815.

2. Baak, A., Müller, M., Seidel, H.P., 2008. An efficient algorithm for keyframe-based motion retrieval in the presence of temporal deformations. In: Proc. ACM Internat. Conf. Multimedia Information Retrieval (MIR), Vancouver, British Columbia, Canada, pp. 451–458.

3. Semantic Web: Concepts, Technologies and Applications (NASA Monographs in Systems and Software Engineering);Breitman,2006

4. Automatic routing and retrieval using smart: TREC-2;Buckley;Inform. Process. Manage.,1995

5. CityU Motion Capture Lab, City University of Hong Kong, 2010. (accessed 29.05.11).

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