The visual display of quantitative information
The visual display of quantitative information
Gigapixel-Size Real-Time Interactive Image Processing with Parallel Computers
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Communications of the ACM - Blueprint for the future of high-performance networking
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CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
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Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Beyond visual acuity: the perceptual scalability of information visualizations for large displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual Analytics: Realizing embodied interaction for visual analytics through large displays
Computers and Graphics
Capturing and viewing gigapixel images
ACM SIGGRAPH 2007 papers
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IEEE Computer Graphics and Applications
Enabling high resolution collaborative visualization in display rich virtual organizations
Future Generation Computer Systems
The OptIPortal, a scalable visualization, storage, and computing interface device for the OptiPuter
Future Generation Computer Systems
Giga-stack: A method for visualizing giga-pixel layered imagery on massively tiled displays
Future Generation Computer Systems
CGLX: A Scalable, High-Performance Visualization Framework for Networked Display Environments
IEEE Transactions on Visualization and Computer Graphics
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This paper introduces an approach to interactively visualize a large collection of high-resolution images in large-scale tiled display environments. Our approach fully utilizes the distributed computing and rendering capabilities of visualization clusters that are driving tiled display walls. A seamless and unified workspace spanning across the entire wall is provided, while view dependent resource management strategies support smooth and fully interactive data analysis of a collection of images. Interactive image filtering and graphing techniques are presented, allowing features in individual images and patterns in image sets to be visualized on the fly. The provided case studies show that the presented approach can scale well beyond terapixel-scale visualization while providing highly responsive interactive environments.