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ieee Annual International symposium Virtual Reality

作者： S. Pettifer J. Cook J. Mariani J. Trevor Advanced Interfaces Group Department of Computer Science University of Manchester Institute of Science and Technology Manchester UK Computing Department Lancaster University Lancaster UK

ISBN: (纸本)0769509487

Virtual environments present opportunities for novel interaction with and visualisation of abstract data. However, the inherent difficulties of rendering 3D environments, as well as bottlenecks in traditional virtual reality systems, make real-time manipulation of realistic amounts of data difficult. We present QSPACE, a data visualisation tool with which we have begun to explore techniques and architectures for making real-time interaction with largest amounts of data possible.

关键词： data visualization Virtual reality Books Virtual environment Rendering (computer graphics) Real time systems Hardware Clouds Computer science Computer interfaces

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Real-time data mining of multimedia objects

Real-time data mining of multimedia objects

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International symposium on Object-Oriented Real-Time Distributed Computing

作者： B. Thuraisingham C. Clifton J. Maurer M.G. Ceruti MITRE Corporation Bedford MA USA Space and Naval Warfare Systems Center San Diego San Diego CA USA

ISBN: (纸本)0769510892

Whereas much of the previous work on data mining has focused on mining data in relational databases, we discuss mining objects. Object models are very popular for representing multimedia data, and therefore we need to mine object databases to extract useful information from the large quantities of multimedia data. We first describe the motivation for multimedia data mining with examples and then discuss object mining with focus on text, image, video and audio mining. We also address the need for real time data mining for multimedia applications.

关键词： data mining Multimedia databases Relational databases Image databases Visual databases Technology management Machine learning Statistics parallel processing data visualization

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Accelerated isosurface extraction in time-varying fields

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2000年第2期6卷 98-107页

作者： Sutton, PM Hansen, CD Lawrence Livermore Natl Lab Livermore CA 94550 USA Univ Utah Dept Comp Sci Salt Lake City UT 84124 USA

For large time-varying data sets, memory and disk limitations can lower the performace of visualization applications. Algorithms and data structures must be explicitly designed to handle these data sets in order to achieve more interactive rates. The Temporal Branch-on-Need Octree (T-BON) extends the three-dimensional branch-on-need octree for time-varying isosurface extraction. This data structure minimizes the impact of the I/O bottleneck by reading from disk only those portions of the search structure and data necessary to construct the current isosurface. By performing a minimum of I/O and exploiting the hierarchical memory found in modern CPUs, the T-BON algorithm achieves high performance isosurface extraction in time-varying fields. This paper extends earlier work on the T-BON data structure by including techniques for better memory utilization, out-of-core isosurface extraction, and support for nonrectilinear grids. Results from testing the T-BON algorithm on large data sets show that its performance is similar to that of the three-dimensional branch-on-need octree for static data sets while providing substantial advantages for time-varying fields.

关键词： isosurface time-dependent scalar field visualization multiresolution methods octree bricking unstructured grid visualization out-of-core visualization

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WWW-based visualization of the real time run of a space weather forecasting model

WWW-based visualization of the real time run of a space weat...

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2nd Joint Eurographics and ieee TCVG symposium on visualization

作者： Maurtis, S McAllister, J Watkins, B Univ Alaska Fairbanks Arctic Reg Supercomp Ctr Fairbanks AK 99775 USA

ISBN: (纸本)3211835156

As use of earth-orbiting space technology increases, so does the need to understand and forecast the space weather. The University of Alaska Fairbanks Eulerian parallel Polar Ionosphere Model (UAF EPPIM) is a first principles three-dimensional time-dependant simulation, applied for real-time ionospheric forecasts. Its network-based continuous run uses on-line remote inputs, including current satellite data. Forecasted conditions are continuously visualized and disseminated via two mirrored WWW-sites ***/SpaceWeather and ***/similar to sergei in various formats such as GIF-files, including their JavaScript animation;NCAR graphics metafiles;and Vis5D databases. This paper describes practical approaches to issues such as synchronizing the model run to the rear-time inputs and achieving the highest possible resolution on a variety of computational platforms. Experience running the model with network inputs continuously for nearly three years is presented and summarized. Examples of remote use of model forecasts are discussed together with new opportunities this real-time approach provides for the U.S. National Space Weather Program.

关键词： Weather forecasting

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From trace generation to visualization: A performance framework for distributed parallel systems

From trace generation to visualization: A performance framew...

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2000 ACM/ieee Conference on Supercomputing, SC 2000

作者： Wu, C. Eric Bolmarcich, Anthony Snir, Marc Wootton, David Parpia, Farid Chan, Anthony Lusk, Ewing Gropp, William IBM T.J. Watson Research Center P.O. Box 218 Yorktown HeightsNY10598 United States IBM RS6000 Division 2455 South Road PoughkeepsieNY12601 United States Mathematics and Computer Science Division Angonne National Laboratory ArgonneIL60439 United States

ISBN: (纸本)0780398025

In this paper we describe a trace analysis framework, from trace generation to visualization. It includes a unified tracing facility on IBM® SPTMsystems, a self-defining interval file format, an API for framework extensions, utilities for merging and statistics generation, and a visualization tool with preview and multiple time-space diagrams. The trace environment is extremely scalable, and combines MPI events with system activities in the same set of trace files, one for each SMP node. Since the amount of trace data may be very large, utilities are developed to convert and merge individual trace files into a self-defining interval trace file with multiple frame directories. The interval format allows the development of multiple time-space diagrams, such as thread-activity view, processor-activity view, etc., from the same interval file. A visualization tool, Jumpshot, is modified to visualize these views. A statistics utility is developed using the API, along with its graphics viewer. © 2000 ieee.

关键词： visualization

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Very large scale visualization methods for astrophysical data

Very large scale visualization methods for astrophysical dat...

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2nd Joint Eurographics - ieee TCVG symposium on visualization, VisSym 2000

作者： Hanson, Andrew J. Fu, Chi-Wing Wernert, Eric A. Indiana University BloomingtonIN47405 United States

ISBN: (纸本)3211835156

We address the problem of interacting with scenes that contain a very large range of scales. Computer graphics environments normally deal with only a limited range of orders of magnitude before numerical error and other anomalies begin to be apparent, and the effects vary widely from environment to environment. Applications such as astrophysics, where a single scene could in principle contain visible objects from the subatomic scale to the intergalactic scale, provide a good proving ground for the multiple scale problem. In this context, we examine methods for interacting continuously with simultaneously active astronomical data sets ranging over 40 or more orders of magnitude. Our approach relies on utilizing a single scale of order 1.0 for the definition of all data sets. Where a single object, like a planet or a galaxy, may require moving in neighborhoods of vastly different scales, we employ multiple scale representations for the single object;normally, these are sparse in all but a few neighborhoods. By keying the changes of scale to the pixel size, we can restrict all data set scaling to roughly four orders of magnitude. Navigation problems are solved by designing constraint spaces that adjust properly to the large scale changes, keeping navigation sensitivity at a relatively constant speed in the user's screen space. © 2000 Eurographics Association. All rights reserved.

关键词： Automobile proving grounds

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Hierarchical data representations based on planar Voronoi diagrams

Hierarchical data representations based on planar Voronoi di...

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2nd Joint Eurographics - ieee TCVG symposium on visualization, VisSym 2000

作者： Schussman, Shirley Bertram, Martin Hamann, Bernd Joy, Kenneth I. Department of Computer Science University of California at Davis DavisCA95616-8562 United States

ISBN: (纸本)3211835156

Multiresolution representation of high-dimensional scattered data is a fundamental problem in scientific visualization. This paper introduces a data hierarchy of Voronoi diagrams as a versatile solution. Given an arbitrary set of points in the plane, our goal is the construction of an approximation hierarchy using the Voronoi diagram as the essential building block. We have implemented two Voronoi diagram-based algorithms to demonstrate their usefulness for hierarchical scattered data approximation. The first algorithm uses a constant function to approximate the data within each Voronoi cell, and the second algorithm uses the Sibson interpolant [14]. © 2000 Eurographics Association. All rights reserved.

关键词： data visualization

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New methods for the visualization of electric power system information

Proceedings of the IEEE Symposium on Information Visualizati...

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Proceedings of the ieee symposium on Information visualization 2000年 131-136页

作者： Overbye, Thomas J. Weber, Jamie D. Univ of Illinois at Urbana-Champaign Urbana-Champaign United States

One area in need of new research in information visualization is the operation and analysis of large-scale electric power systems. In analyzing power systems, one is usually confronted with a large amount of multivariate data. With systems containing tens of thousands of electrical nodes (buses), a key challenge is to present this data in a form so the user can assess the state of the system in an intuitive and quick manner. This is particularly true when trying to analyze relationships between actual network power flows, the scheduled power flows, and the capacity of the transmission system. With electric industry restructuring and the move towards having a single entity, such as an independent system operator or pool, operate a much larger system, this need has become more acute. This paper presents several power system visualization techniques to help in this task. These techniques include animation of power system flow values, contouring of bus and transmission line flow values, data aggregation techniques and interactive 3D data visualization.

关键词： Three dimensional computer graphics

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Level-of-Detail Volume Rendering via 3D Textures

Level-of-Detail Volume Rendering via 3D Textures

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ieee symposium on Volume visualization, VV

作者： Kurt Zimmermann Rudiger Westermann Thomas Ertl Chuck Hansen Manfred Weiler Visualization and Interactive Systems Group University of Stuttgart Germany

In this paper we present an adaptive approach to volume rendering via 3D textures at arbitrary levels of detail. The algorithm has been designed to enable interactive exploration of large-scale data sets while providing user-adjustable resolution levels. A texture map hierarchy is constructed in a way that minimizes the amount of texture memory with respect to the power-of-two restriction imposed by OpenGL implementations. In addition, our hierarchical level-of-detail representation guarantees consistent interpolation between different resolution levels. Special attention has been paid to the fixing of rendering artifacts that are introduced by non-corrected opacities at level transitions. By adapting the sample slice distance with regard to the desired level-of-detail, the number of texture lookups is reduced significantly.

关键词： Rendering (computer graphics) data visualization Interpolation Hardware large-scale systems graphics Permission Interactive systems Engines Algorithm design and analysis

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Radar image processing with clusters of computers

Radar image processing with clusters of computers

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ieee Conference on Aerospace

作者： A. Goller F. Leberl Chalmers University of Technology Gothenburg Sweden Institute for Computer Graphics and Vision Technical University of Graz Graz Austria

Some radar image processing algorithms such as shape-from-shading are particularly compute-intensive and time consuming. If, in addition, a data set to be processed is large, then it may make sense to perform the processing of images on multiple workstations or parallel processing systems. We have implemented shape-from-shading, stereo matching, resampling, gridding and visualization of terrain models in such a manner that they execute either on parallel machines or on clusters of workstations. We were motivated by the large image data set from NASA's Magellan mission to planet Venus, but received additional inspiration from the European Union's Center for Earth Observation program (CEO) and Austria's MISSION initiative for distributed processing of remote sensing images on remote workstations, using publicly accessible algorithms. We have developed a multi-processor approach that we denote as CDIP for Concurrent and Distributed Image Processing. The speedup for image processing tasks increases nearly linearly with the number of processors, be they on a parallel machine or arranged in a cluster of distributed workstations. Our approach adds benefits for users of complex image processing algorithms: the efforts for code porting and code maintenance are reduced and the necessity for specialized parallel processing hardware is eliminated.

关键词： Radar imaging Image processing Workstations Clustering algorithms parallel processing parallel machines data visualization Planets Venus Earth

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