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Cluster rendering on large high-resolution multi-displays using X3DOM and HTML

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Abstract

In this paper, we propose a platform-independent visualization method that uses HTML and X3DOM for large high-resolution displays. HTML is a platform-independent language used for developing web pages, and X3DOM is a Web 3D visualization framework based on X3D; X3D is a royalty-free ISO standard XML-based file format for representing a 3D scene graph. Large high-resolution displays are used in scientific visualization, immersive virtual reality environment, and collaborative designing to efficiently deliver a large amounts of information. We introduce a run-time cluster configuration method using the component technologies of HTML5 and a data distribution strategy for a cluster rendering system based on the X3DOM framework. The comparative performance analysis and visualization results in diverse large high-resolution displays and mobile devices using widespread web browsers are also introduced. Our approach provides a cluster rendering method that can be easily and readily applied for existing large high-resolution systems, involving various platforms, by enabling novel system architecture.

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Acknowledgments

This research was supported by the Basic Research Project of Korea Institute of Machinery and Materials (Project Code: NK190C) supported by a grant from Korea National Research Council of Science & Technology, the Plant Research Program (Project ID: 14IFIP-B091004-01) funded by the Land, Infrastructure and Transport of the Korean government, the Climate Change Research Hub of KAIST (Grant No. N01150026) and the Human Resources Development program (No. 20134030200300) of the Korea Institute of Energy Technology Evaluation and Planning(KETEP) grant funded by the Korea government Ministry of Trade, Industry and Energy.

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Correspondence to Soonhung Han.

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Communicated by A. U. Mauthe.

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Kim, H., Kang, Y., Cha, M. et al. Cluster rendering on large high-resolution multi-displays using X3DOM and HTML. Multimedia Systems 23, 265–279 (2017). https://doi.org/10.1007/s00530-015-0495-0

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