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Proceedings Paper

Component-oriented approach to adaptive collaborative visualization
Author(s): Julian Gallop; Gordon S. Blair; Chris Cooper; Geoff Coulson; David Duce; Tom Fitzpatrick; Ian Johnson
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Paper Abstract

Collaborative tools are developed to support work being undertaken by dispersed teams. As well as allowing voice and audio, several initiatives have supported collaborative information-rich tasks by enabling dispersed participants to share their visualization insights and to exercise some distributed control. In previous work, tools for collaborative visualization have been based on dataflow visualization systems, allowing visual programs to be rapidly prototyped and allowing not only the sharing of final results but also the process of obtaining them. However there are a number of issues: (1) the need for software policy changes, according to different meeting styles; (2) the presence of competing continuous flows, including voice and video of the participants and visualization movie sequences, in addition to bulk data flows; and (3) the dynamics of available resources which vary between participants or between mobile and office situations or within a single meeting. This need for adaptation is being studied in the Visual Beans project in the UK. The technologies under study include component technology, based on Java and CORBA, the use of continuous media in CORBA components, quality of service (QoS) monitoring and the use of open bindings.

Paper Details

Date Published: 12 March 2002
PDF: 6 pages
Proc. SPIE 4665, Visualization and Data Analysis 2002, (12 March 2002); doi: 10.1117/12.458776
Show Author Affiliations
Julian Gallop, Rutherford Appleton Lab. (United Kingdom)
Gordon S. Blair, Lancaster Univ. (United Kingdom)
Chris Cooper, Oxford Brookes Univ. (United Kingdom)
Geoff Coulson, Lancaster Univ. (United Kingdom)
David Duce, Oxford Brookes Univ. (United Kingdom)
Tom Fitzpatrick, Lancaster Univ. (United Kingdom)
Ian Johnson, Rutherford Appleton Lab. (United Kingdom)

Published in SPIE Proceedings Vol. 4665:
Visualization and Data Analysis 2002
Robert F. Erbacher; Philip C. Chen; Matti Groehn; Jonathan C. Roberts; Craig M. Wittenbrink, Editor(s)

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