Abstract
The advancement of motion recording, analysis and synthesis techniques, together with the standardization of respective data formats, constitutes a solid foundation for research based on motion data sets in the context of various disciplines. However, most of the motion data sets available offer groups of files as acquired from the motion capture systems. The problem with such data is that it usually represents a single viewpoint, its context varies and is more or less implicit, and the lack of functionality implemented atop of such data set limits the data analysis and search potential. This encourages us to look at this problem domain from the database management systems (DBMS) state of the art point of view. In this paper, we outline some important aspects of applying a DBMS to motion data with the aim to provide a highly universal, extensible, shareable and searchable resource. To avoid being locked into a specific area of application, we take a very abstract view of the data and attempt to assure, a versatility and genericity of the resulting system.
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References
Sigal, L., Balan, A., Black, M.: Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion. IJCV 87(1), 4–27 (2010)
Forbes, K., Fiume, E.: An efficient search algorithm for motion data using weighted pca. In: 2005 ACM SIGGRAPH/Eurographics SCA, pp. 67–76 (July 2005)
Chiu, C.Y., Chao, S.P., Wu, M.Y., Yang, S.N.: Efficient content-based retrieval for motion capture data. Journal of Visual Communication and Image Representation 15, 446–466 (2004)
Kovar, L., Gleicher, M.: Automated extraction and parameterization of motions in large data sets. ACM Transactions on Graphics 23(3), 559–568 (2004)
Demuth, B., Müller, M., Eberhardt, B.: An information retrieval system for motion capture data. In: Lalmas, M., MacFarlane, A., Rüger, S.M., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds.) ECIR 2006. LNCS, vol. 3936, pp. 373–384. Springer, Heidelberg (2006)
Ren, L.: Statistical Analysis of Natural Human Motion for Animation. PhD thesis, CMU (2007)
Assa, J., Caspi, Y., Cohen-Or, D.: Action synopsis: pose selection and illustration. ACM Transactions on Graphics 24(3), 667–676 (2005)
Sakamoto, Y., Kuriyama, S., Kaneko, T.: Motion map: image-based retrieval and segmentation of motion data. In: 2004 ACM SIGGRAPH/Eurographics SCA, pp. 259–266 (July 2004)
Liu, G., Zhang, J., Wang, W., McMillan, L.: A system for analyzing and indexing human-motion databases. In: Proceedings of the ACM SIGMOD, pp. 924–926 (2005)
Gaeorgia Tech: HID Database, http://www.cc.gatech.edu/cpl/projects/hid
CMU: Carnegie-Mellon Mocap Database, http://mocap.cs.cmu.edu
CASIA Gait Database, http://www.sinobiometrics.com
Animeeple Animation Software, http://www.animeeple.com
GAITABASE, http://gaitabase.rch.org.au
Prabhakaran, B.: Multimedia Database Management Systems. Springer, Heidelberg (1996)
Global Alliance WS-Resource Framework, http://www.globus.org/wsrf
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Filipowicz, W., Habela, P., Kaczmarski, K., Kulbacki, M. (2010). A Generic Approach to Design and Querying of Multi-purpose Human Motion Database. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15910-7_12
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DOI: https://doi.org/10.1007/978-3-642-15910-7_12
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