Collaborative Visualization in Rich Media Environments
In this article we present our approach of combining open and sophisticated technologies in order to establish an integrated rich media environment for collaborative visualization processes. Aiming to support comprehensive visualization settings of spatia
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Heinz Nixdorf Institute, University of Paderborn F¨urstenallee 11, 33102 Paderborn, Germany [email protected] 2 University of Paderborn F¨urstenallee 11, 33102 Paderborn, Germany [email protected] 3 University of Vienna Universit¨atsstrasse 10, A-1090 Wien, Austria [email protected]
Abstract. In this article we present our approach of combining open and sophisticated technologies in order to establish an integrated rich media environment for collaborative visualization processes. Aiming to support comprehensive visualization settings of spatially separated domain specialists, we deploy remote render farms for producing the visualization of complex datasets as video streams, separately for every collaboration partner. This makes our system capable also for low-end mobile devices, which only have to be able to render MEPG-4 compliant video streams. The cooperation support is provided by a full-featured CSCW system including a shared whiteboard based on the platform independent Eclipse framework. The visualization objects are embedded in the CSCW system’s persistent object space and presented by the rich media view of the shared whiteboard. Starting with a basic scenario of collaborative visualization we will present the architecture of the combined visualization and CSCW systems and the design of the plug-in based shared whiteboard.
1 Introduction Today’s scientific communities are often distributed over several continents, which is emphasized by globalization. In cooperative research over long distances the coordination of research processes becomes a major challenge. This is especially true for research communities of domain specialists exploring complex datasets with the support of visualization techniques. To identify the original incentive for the development of a cooperative visualization system we have to look at the past years. A few years ago the principal purposes of visualization systems were only the processing and the visual representation of complex datasets, which were generated from simulations or measurements. Analysis of the visualization and the underlying data happened at the same graphics workstation and at a distinguished spatial location.
Bernd Eßmann participated in the Heinz Nixdorf Institute’s postgraduate program ”Automatic Configuration in Open Systems” funded by the German Research Foundation (DFG).
Y. Manolopoulos et al. (Eds.): ICEIS 2006, LNBIP 3, pp. 375–387, 2008. c Springer-Verlag Berlin Heidelberg 2008
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B. Eßmann, F. G¨otz, and T. Hampel
Nowadays, groups of domain specialists (often scientists) want to discuss and understand new geological phenomena cooperatively while being situated all over the globe. They want to access huge datasets (e.g. measurements of a geographical phenomenon) in real-time, independent from their actual whereabouts. A local computer has to process the dataset into a meaningful three-dimensional graphical representation. This allows domain specialists to get an overall understanding of the data. Additionally, for a cooperative e
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