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IEICE TRANSACTIONS on Information

Real-Time Spatial Data Management for Scalable Networked Augmented Virtual Spaces

Masatoshi ARIKAWA, Shinji SHIMOJO, Akira AMANO, Kaori MAEDA, Reiji AIBARA, Kouji NISHIMURA, Kaduo HIRAKI, Kazutoshi FUJIKAWA

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Summary :

This paper proposes a new framework of managing virtual spaces based on spatial databases as an extension of VRML-based systems. The framework is suitable for treating continuous virtual spaces and for managing the quality of service (QoS) of the virtual spaces depending on user's operations and situations of computer resources. Levels of detail (LoD) of 3D objects is the most important rule for rendering scenes dynamically while managing the QoS. This paper describes a method of managing the QoS depending on the LoD in the form of spatial queries. An advantage of the framework is that spatial databases can incrementally construct virtual spaces in clients using differential descriptions based on VRML, that is, DVRML, proposed in this paper. Dynamic spatial data such as avatar's movement and real-time multimedia data such as videos should be shared by all participants in a virtual space in real time. Our framework can also handle dynamic spatial data by means of real-time updating of some spatial objects in spatial databases as well as static spatial data. We developed some experimental applications based on the framework in order to prove that it is feasible for networked virtual spaces with video components.

Publication
IEICE TRANSACTIONS on Information Vol.E82-D No.1 pp.99-112
Publication Date
1999/01/25
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Issue on New Generation Database Technologies)
Category
Spatial and Temporal Databases

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