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2008 IEEE 24th International Conference on Data Engineering
A Motion-Aware Approach to Continuous Retrieval of 3D Objects
Cancun, Mexico
April 07-April 12
ISBN: 978-1-4244-1836-7
Mohammed Eunus Ali, National ICT Australia; Department of Computer Science and Software Engineering, University of Melbourne, Australia. eunus@csse.unimelb.edu.au
Rui Zhang, Department of Computer Science and Software Engineering, University of Melbourne, Australia. rui@csse.unimelb.edu.au
Egemen Tanin, National ICT Australia; Department of Computer Science and Software Engineering, University of Melbourne, Australia. egemen@csse.unimelb.edu.au
Lars Kulik, National ICT Australia; Department of Computer Science and Software Engineering, University of Melbourne, Australia. lars@csse.unimelb.edu.au
With recent advances in mobile computing technologies, mobile devices can now render 3D objects realistically. Many users of these devices such as tourists, mixed-reality gamers, and rescue officers, need real-time retrieval of 3D objects over a wireless network. Due to bandwidth and latency restrictions in mobile settings, efficient continuous retrieval of 3D objects remains a challenge. In this paper, we describe a motion-aware approach to this problem. We first introduce multi-resolution ion storage and retrieval methods for 3D data, which restrict access to only the necessary content based on the client's motion pattern. We then propose a motion-aware buffer management technique as well as an efficient index using multi-resolution representations of objects. Our experiments demonstrate the effectiveness of our solution to continuous retrieval of complex spatial data in mobile settings.
Citation:
Mohammed Eunus Ali, Rui Zhang, Egemen Tanin, Lars Kulik, "A Motion-Aware Approach to Continuous Retrieval of 3D Objects," icde, pp.843-852, 2008 IEEE 24th International Conference on Data Engineering, 2008
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