Paper
29 January 2007 A modular extensible visualization system architecture for culled prioritized data streaming
James P. Ahrens, Nehal Desai, Patrick S. McCormick, Ken Martin, Jonathan Woodring
Author Affiliations +
Proceedings Volume 6495, Visualization and Data Analysis 2007; 64950I (2007) https://doi.org/10.1117/12.706325
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Massive dataset sizes can make visualization difficult or impossible. One solution to this problem is to divide a dataset into smaller pieces and then stream these pieces through memory, running algorithms on each piece. This paper presents a modular data-flow visualization system architecture for culling and prioritized data streaming. This streaming architecture improves program performance both by discarding pieces of the input dataset that are not required to complete the visualization, and by prioritizing the ones that are. The system supports a wide variety of culling and prioritization techniques, including those based on data value, spatial constraints, and occlusion tests. Prioritization ensures that pieces are processed and displayed progressively based on an estimate of their contribution to the resulting image. Using prioritized ordering, the architecture presents a progressively rendered result in a significantly shorter time than a standard visualization architecture. The design is modular, such that each module in a user-defined data-flow visualization program can cull pieces as well as contribute to the final processing order of pieces. In addition, the design is extensible, providing an interface for the addition of user-defined culling and prioritization techniques to new or existing visualization modules.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James P. Ahrens, Nehal Desai, Patrick S. McCormick, Ken Martin, and Jonathan Woodring "A modular extensible visualization system architecture for culled prioritized data streaming", Proc. SPIE 6495, Visualization and Data Analysis 2007, 64950I (29 January 2007); https://doi.org/10.1117/12.706325
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Visualization

Data processing

Data modeling

Algorithm development

Image processing

Cameras

Skin

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