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ieee visualization Conference (Vis 2006)/ieee symposium on Information visualization (InfoVis 2006)

作者： de Leeuw, Wim Verschure, Pernette J. van Liere, Robert CWI Ctr Math & Comp Sci NL-1009 AB Amsterdam Netherlands

In this paper we propose an approach in which interactive visualization and analysis are combined with batch tools for the processing of large data collections. large and heterogeneous data collections are difficult to analyze and pose specific problems to interactive visualization. Application of the traditional interactive processing and visualization approaches as well as batch processing encounter considerable drawbacks for such large and heterogeneous data collections due to the amount and type of data. Computing resources are not sufficient for interactive exploration of the data and automated analysis has the disadvantage that the user has only limited control and feedback on the analysis process. In our approach, an analysis procedure with features and attributes of interest for the analysis is defined interactively. This procedure is used for off-line processing of large collections of data sets. The results of the batch process along with "visual summaries" are used for further analysis. visualization is not only used for the presentation of the result, but also as a tool to monitor the validity and quality of the operations performed during the batch process. Operations such as feature extraction and attribute calculation of the collected data sets are validated by visual inspection. This approach is illustrated by an extensive case study, in which a collection of confocal microscopy data sets is analyzed.

关键词： biomedical visualization features in volume data sets large data set visualization

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ieee Pacific visualization symposium

IEEE Pacific Visualization Symposium

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2015 8th ieee Pacific visualization symposium, PacificVis 2015

ISBN: (纸本)9781467368797

The proceedings contain 44 papers. The topics discussed include: interactive streamline exploration and manipulation using deformation;surface flow visualization using the closest point embedding;parallel unsteady flow line integral convolution for high-performance dense visualization;dendrogramix: a hybrid tree-matrix visualization technique to support interactive exploration of dendrograms;attribute-driven edge bundling for general graphs with applications in trail analysis;interactive visual summary of major communities in a large network;spherical layout and rendering methods for immersive graph visualization;multistory: visual analytics of dynamic multi-relational networks;variational circular treemaps for interactive visualization of hierarchical data;and applying feature integration theory to glyph-based information visualization.

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Application of Stochastic Point-based Rendering to Transparent visualization of large-scale Laser-scanned data of 3D Cultural Assets

Application of Stochastic Point-based Rendering to Transpare...

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ieee Pacific visualization symposium (PacificVis)

作者： Tanaka, Satoshi Uemura, Makoto Hasegawa, Kyoko Kitagawa, Takehiko Yoshida, Takahiro Sugiyama, Asuka Tanaka, Hiromi T. Okamoto, Atsushi Sakamoto, Naohisa Koyamada, Koji Ritsumeikan Univ Kyoto Japan Otemae Univ Nishinomiya Hyogo Japan Kyoto Univ Kyoto 6068501 Japan

ISBN: (纸本)9781479928736

We propose a new application of stochastic point-based rendering, which was recently proposed for implicit surfaces, to large-scale laser-scanned 3D point data. Specifically, we propose a scheme to apply the rendering to transparent and fused visualization of recent large and complex laser-scanned data from cultural assets. Our scheme uses 3D points that are directly acquired using a laser scanner as the rendering primitives. For laser-scanned data that consist of more than 10(7) or 10(8) 3D points, the pre-processing stage takes only a few minutes, and the rendering stage is executable at interactive frame rates. We do not encounter rendering artifacts originating from the indefiniteness of depth-sorted orders of rendering primitives. Fused visualization with various visual assistants is also possible. We demonstrate the effectiveness of our scheme by visualizing a campus building and a culturally important festival float.

关键词： Computer graphics [I.3.m]: Miscellaneous Image Processing and Computer Vision [I.4.8]: Scene Analysis Range data

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Eurographics Workshop on parallel graphics and visualization

Eurographics Workshop on Parallel Graphics and Visualization

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15th Eurographics symposium on parallel graphics and visualization, EG PGV 2015

ISBN: (纸本)9783905674811

The proceedings contain 12 papers. The topics discussed include: large-scale parallel visualization of particle-based simulations using point sprites and level-of-detail;memory-efficient on-the-fly voxelization of particle data;visualization of 2D wave propagation by Huygens' principle;visualization showcase: general-relativistic black hole visualization;SIMD parallel ray tracing of homogeneous polyhedral grids;packet-oriented streamline tracing on modern SIMD architectures;volume rendering via data-parallel primitives;visualization of high-resolution weather model data;TOD-tree: task-overlapped direct send tree image compositing for hybrid MPI parallelism;contour tree depth images for large data visualization;out-of-core framework for QEM-based mesh simplification;and visualizing groundwater flow through karst limestone.

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A parallelized surface extraction algorithm for large binary image data sets based on an adaptive 3D delaunay subdivision strategy

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2008年第1期14卷 160-172页

作者： Ma, YingLiang Saetzler, Kurt Guys Hosp Univ London Kings Coll Div Imaging Sci London SE1 9RT England Univ Ulster Sch Biomed Sci Coleraine BT52 1SA Londonderry North Ireland

In this paper, we describe a novel 3D subdivision strategy to extract the surface of binary image data. This iterative approach generates a series of surface meshes that capture different levels of detail of the underlying structure. At the highest level of detail, the resulting surface mesh generated by our approach uses only about 10 percent of the triangles in comparison to the Marching Cube ( MC) algorithm, even in settings where almost no image noise is present. Our approach also eliminates the so-called "staircase effect," which voxel-based algorithms like the MC are likely to show, particularly if nonuniformly sampled images are processed. Finally, we show how the presented algorithm can be parallelized by subdividing 3D image space into rectilinear blocks of subimages. As the algorithm scales very well with an increasing number of processors in a multithreaded setting, this approach is suited to process large image data sets of several gigabytes. Although the presented work is still computationally more expensive than simple voxel-based algorithms, it produces fewer surface triangles while capturing the same level of detail, is more robust toward image noise, and eliminates the above-mentioned "staircase" effect in anisotropic settings. These properties make it particularly useful for biomedical applications, where these conditions are often encountered.

关键词： isosurface extraction adaptive mesh generation Delaunay triangulation parallel computing

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parallel tag clouds to explore and analyze faceted text corpora

Parallel tag clouds to explore and analyze faceted text corp...

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VAST 09 - ieee symposium on Visual Analytics Science and Technology

作者： Collins, Christopher Viégas, Fernanda B. Wattenberg, Martin University of Toronto Canada IBM Research

ISBN: (纸本)9781424452835

Do court cases differ from place to place? What kind of picture do we get by looking at a country's collection of law cases? We introduce parallel Tag Clouds: a new way to visualize differences amongst facets of very large metadata-rich text corpora. We have pointed parallel Tag Clouds at a collection of over 600,000 US Circuit Court decisions spanning a period of 50 years and have discovered regional as well as linguistic differences between courts. The visualization technique combines graphical elements from parallel coordinates and traditional tag clouds to provide rich overviews of a document collection while acting as an entry point for exploration of individual texts. We augment basic parallel tag clouds with a details-in-context display and an option to visualize changes over a second facet of the data, such as time. We also address text mining challenges such as selecting the best words to visualize, and how to do so in reasonable time periods to maintain interactivity. ©2009 ieee.

关键词： visualization

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Uncovering clusters in crowded parallel coordinates visualizations

Uncovering clusters in crowded parallel coordinates visualiz...

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10th Annual ieee symposium on Information visualization (InfoVis 2004)

作者： Artero, AO de Oliveira, MCF Levkowitz, H Univ Sao Paulo Dept Comp Sci Sao Paulo Brazil

ISBN: (纸本)0780387791

The one-to-one strategy of mapping each single data item into a graphical marker adopted in many visualization techniques has limited usefulness when the number of records and/or the dimensionality of the data set are very high. In this situation, the strong overlapping of graphical markers severely hampers the user's ability to identify patterns in the data from its visual representation. We tackle this problem here with a strategy that computes frequency or density information from the data set, and uses such information in parallel Coordinates visualizations to filter out the information to be presented to the user, thus reducing visual clutter and allowing the analyst to observe relevant patterns in the data. The algorithms to construct such visualizations, and the interaction mechanisms supported, inspired by traditional image processing techniques such as grayscale manipulation and thresholding are also presented. We also illustrate how such algorithms can assist users to effectively identify clusters in very noisy large data sets.

关键词： information visualization visual clustering density-based visualization visual data mining

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ieee Pacific Visualisation symposium 2008, PacificVis - Proceedings

IEEE Pacific Visualisation Symposium 2008, PacificVis - Proc...

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2008 Pacific visualization symposium, PacificVis 2008

ISBN: (纸本)9781424419661

The proceedings contain 29 papers. The topics discussed include: capstone address: visualization of high dimensional data in brain and information sciences;second-order pre-integrated volume rendering;dynamic shader generation for flexible multi-volume visualization;interactive exploration of remote isosurfaces with point-based non-photorealistic rendering;crossing minimization meets simultaneous drawing;effects on crossing angles;visual statistics for collections of clustered graphs;energy-based hierarchical edge clustering of graphs;finite-time transport structures of flow fields;importance-driven particle techniques for flow visualization;illustrative streamline placement visualization;and optimizing parallel performance of streamline visualization for large distributed flow datasets.

关键词： Flow visualization

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parallel sets: Visual analysis of categorical data

Parallel sets: Visual analysis of categorical data

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ieee symposium on Information visualization (InfoVis 05)

作者： Bendix, F Kosara, R Hauser, H VRVis Research Center Austria Inte:Ligand

ISBN: (纸本)078039464X

The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical dimensions. Only few methods deal properly with such data, mostly because of the discrete nature of categorical data, which does not translate well into the continuous domains of space and color. parallel Sets is a new visualization method that adopts the layout of parallel coordinates, but substitutes the individual data points by a frequency-based representation. This abstracted view, combined with a set of carefully designed interactions, supports visual data analysis of large and complex data sets. The technique allows efficient work with meta data, which is particularly important when dealing with categorical datasets. By creating new dimensions from existing ones, for example, the user can filter the data according to his or her current needs. We also present the results from an interactive analysis of CRM data using parallel Sets. We demonstrate how the flexible layout eases the process of knowledge crystallization, especially when combined with a sophisticated interaction scheme.

关键词： categorical data meta information interaction

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Using difference intervals for time-varying isosurface visualization

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2006年第5期12卷 1275-1282页

作者： Waters, Kenneth W. Co, Christopher S. Joy, Kenneth I. Univ Calif Davis Inst Data Anal & Visualizat Davis CA 95616 USA

We present a novel approach to out-of-core time-varying isosurface visualization. We attempt to interactively visualize time-varying datasets which are too large to fit into main memory using a technique which is dramatically different from existing algorithms. Inspired by video encoding techniques, we examine the data differences between time steps to extract isosurface information. We exploit span space extraction techniques to retrieve operations necessary to update isosurface geometry from neighboring time steps. Because only the changes between time steps need to be retrieved from disk, I/O bandwidth requirements are minimized. We apply temporal compression to further reduce disk access and employ a point-based previewing technique that is refined in idle interaction cycles. Our experiments on computational simulation data indicate that this method is an extremely viable solution to large time-varying isosurface visualization. Our work advances the state-of-the-art by enabling all isosurfaces to be represented by a compact set of operations.

关键词： isosurface time-varying span space out-of-core point-based rendering

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