Abstract
Augmented Reality (AR), which is an emerging information technology that combines physical and virtual realities, is used in wide spectrum of domains. Due to technological advances of mobile devices, the AR application users increase and services area becomes global scale in mobile environment. As a result, the volume of data that the AR applications should manage increases exponentially. However, the conventional AR applications, which rely on the sensors or image recognition of objects, are limited to the trackability and scalability of services in terms of timeliness and wireless communication. Motivated by these problems, we propose architecture of the middleware for Location-based AR Services (LARSs) in mobile environment. This paper focuses on two main aspects. First, a novel system framework for LARSs based on the spatial query is proposed. Second, for supporting mobility of users, middleware architecture for LARSs is designed in server-client framework.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., MacIntyre, B.: Recent advances in augmented reality. IEEE Computer Graphics and Applications 21(6), 34–47 (2001)
Layer: Layer, http://www.layar.com/browser/info/
Works, A.: Augmented geotravel, http://www.augmentedworks.com/geotravel/
Metaio: Junaio, http://www.junaio.com/develop/docs/
Wikitude: Wikitude, http://www.wikitude.com/developer/sdk
AG, M.: Gbanga, http://gbanga.com/press/
University of Washington, H.L.: Artoolkit, http://www.hitl.washington.edu/artoolkit/documentation/
Guttman, A.: R-trees: A dynamic index structure for spatial searching. In: International Conference on Management of Data, pp. 47–57. ACM (1984)
Beckmann, N., Kriegel, H.P., Schneider, R., Seeger, B.: The r*-tree: an efficient and robust access method for points and rectangles. In: SIGMOD 1990: Proceedings of the 1990 ACM SIGMOD International Conference on Management of Data, pp. 322–331. ACM, New York (1990)
Lee, K., Lee, W.C., Leong, H.V.: Nearest surrounder queries. In: Proceedings of the 22nd International Conference on Data Engineering, ICDE 2006, p. 85 (April 2006)
Lee, K., Schiffman, J., Zheng, B., Lee, W.C., Leong, H.V.: Tracking nearest surrounders in moving object environments. In: 2006 ACS/IEEE International Conference on Pervasive Services, pp. 3–12 (June 2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Chung, J., Gil, JM., Jeong, YS., Park, DS., Park, JH. (2012). LARSs: Design of Middleware for Location-Based Augmented Reality Services. In: Park, J., Leung, V., Wang, CL., Shon, T. (eds) Future Information Technology, Application, and Service. Lecture Notes in Electrical Engineering, vol 179. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5064-7_13
Download citation
DOI: https://doi.org/10.1007/978-94-007-5064-7_13
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5063-0
Online ISBN: 978-94-007-5064-7
eBook Packages: EngineeringEngineering (R0)