Spatio-temporal database research at the University of Melbourne
ACM SIGMOD Record
A motion-aware approach for efficient evaluation of continuous queries on 3D object databases
The VLDB Journal — The International Journal on Very Large Data Bases
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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.