Abstract
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.
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Tenenbaum, J., de. Silva, V., Langford, J.: A global geometric framework for nonlinear dimensionality reduction. Science 290(5500), 2319–2323 (2000)
Bengio, Y., Paiement, J.F., Vincent, P.: Outofsample extensions for LLE, ISOMAP, MDS, Eigenmaps, and Spectral Clustering. In: Proceedings of Neural Information Processing Systems (2003)
Hei, X.F., Ma, W.Y., Zhang, H.J.: Learning an image manifold for retrieval. In: Proceedings of 12th ACM International Conference on Multimedia, pp. 17–23 (2004)
Keoph, E., Palpanas, T., Zordan, V.B.: Indexing large Human-motion database. In: Proceedings of the 30th. VLDB Conference, pp. 780–791 (2004)
Venkateswaran, J., Lachwani, D., kahveci, T., Jermaine, C.: Reference-based indexing of Sequence Databases. In: Proceeding of 32th. VLDB Conference. pp. 139–148 (2006)
Liu, F., Zhuang, Y.T., Wu, F., Pan, Y.H.: 3d Motion Retrieval with Motion Index Tree. Computer Vision and Image Understanding 92(2-3), 265–284 (2003)
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© 2007 Springer-Verlag Berlin Heidelberg
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Xiang, J., Zhu, H. (2007). Motion Retrieval Based on an Efficient Index Method for Large-Scale Mocap Database. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2007. Lecture Notes in Computer Science, vol 4561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73321-8_28
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DOI: https://doi.org/10.1007/978-3-540-73321-8_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73318-8
Online ISBN: 978-3-540-73321-8
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