3D motion retrieval with motion index tree
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Learning an image manifold for retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Reference-based indexing of sequence databases
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Indexing large human-motion databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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In this paper, a novel approach is presented for motion retrieval based on double-reference inde(DRI) in Motion Capture(Mocap) database. Due to high dimensionality of motion's feature, the Isomap nonlinear dimensionality reduction is used. For handling new motion data, Isomap is generalized based on the estimation of underlying eigenfunctions. Then DRI is build based on selecting a small set of representative motion clips in the database. So we can get candidate set by abandoning most unrelated motion clips to reduce the number of costly similarity measure significantly. Experimental results show that our methods are effective for motion data retrieval in large database.