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conference on visualization and data analysis 2002

作者： Baumgartner, JL Waugh, TA Indiana Univ Sch Lib & Informat Sci Bloomington IN 47405 USA

ISBN: (纸本)0819444057

Thesauri, such as Roget's Thesaurus, show the semantic relationships among terms and concepts. Understanding these relationships can lead to a greater understanding of linguistic structure and could be applied to creating more efficient natural-language recognition and processing programs. A general assumption is that focus and context displays of hyperbolic trees accelerate browsing ability over conventional trees. It is believed that allowing the user to visually browse the thesaurus will be more effective than keyword searching, especially when the terms in the thesaurus are not known in advance. The visualization can also potentially provide insight into semantic structure of terms. The novelty of this visualization lay in its implementation of various direct manipulation functions, tightly coupled windows, and how data is read into visualization. The direct manipulation functions allow the user to customize the appearance of the tree, to view the density of terms associated with particular concepts, and to view the thesaurus entries associated with each term. Input data is in an XML file format. The extensibility and ability to model complex hierarchies made XML a convenient choice. The object-oriented design of the code allows for displaying virtually any hierarchical data if it is in the XML format.

关键词： hyperbolic tree Roget's thesaurus direct manipulation XML

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Combining physical and semantical navigation in three-dimensional information visualization

Combining physical and semantical navigation in three-dimens...

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conference on visualization and data analysis 2002

作者： dos Santos, CR Gros, P Abel, P Inst Eurecom F-06904 Sophia Antipolis France

ISBN: (纸本)0819444057

The field of information visualization is in permanent expansion and new and innovative ways of visualizing large volumes of abstract data are being developed. The use of virtual metaphoric worlds is one of them, but these visualizations per se are only truly useful if the user is provided a means of exploring the information. A common way of data exploration is navigation. In the case of three-dimensional (3D) information visualization, navigation as a means of information exploration attains even more importance due to the extra exploitable dimension. Nonetheless, navigation in large virtual worlds is still a difficult task and not only for naive users, there is anecdotal evidence that electronic navigation is considered difficult even by the virtual worlds builders. Wayfinding, "knowing where to go", is sometimes perceived as the hardest part;other times, it is the locomotion, "getting there", that is found difficult. This paper presents a navigation strategy that attempts to solve these problems by combining physical/metaphoric navigation with semantic navigation. We present a framework for navigating large virtual worlds that relies heavily on the use of visual metaphors. The combination of physical and semantic navigation embedded in the metaphor components allows for a powerful data exploration and electronic navigation mechanism.

关键词： navigation 3D information visualization visual metaphors semantical navigation metaphoraware navigation

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Distributed feature extraction

Distributed feature extraction

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conference on visualization and data analysis 2002

作者： Chen, J Kusurkar, Y Silver, D Rutgers State Univ Dept Elect & Comp Engn Piscataway NJ 08855 USA

ISBN: (纸本)0819444057

Time varying simulations are common in many scientific domains to study the evolution of phenomena or features. The data produced in these simulations is massive. Instead of just one dataset of 512(3) or 1024(3) (for regular gridded simulations) there could now be hundreds to thousands of timesteps. For datasets with evolving features, feature analysis and visualization tools are crucial to help interpret all the information. For example, it is usually important to know how many regions are evolving, what are their lifetimes, do they merge with others, how does the volume/mass change, etc. Therefore, feature based approaches, such as feature tracking and feature quantification are needed to follow identified regions over time. In our previous work, we have developed a methodology for analyzing time-varying datasets which tracks 3D amorphous features as they evolve in time. However, the implementation is for single-processor non-adaptive grids and for massive multiresolution datasets this approach needs to be distributed and enhanced. In this paper, we describe extensions to our feature extraction and tracking methodology for distributed AMR simulations. Two different paradigms are described, a "fully distributed" and a "partial-merge" strategy. The benefits and implementations of both are discussed.

关键词： Feature extraction visualization Detection and tracking algorithms Computer simulations Image processing algorithms and systems Information visualization Visual analytics data acquisition data communications databases

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Infoticles: Information modeling in immersive environments 6

Infoticles: Information modeling in immersive environments

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6th International conference on Information Visualisation

作者： Vande Moere, A Swiss Fed Inst Technol Chair Architecture Zurich Switzerland

ISBN: (纸本)0769516564

This paper introduces an immersive virtual reality application that allows users to browse and explore the contents of database systems. We have implemented a visualization metaphor that is based upon the intrinsic characteristics of particles, coined 'infoticles', which are used as representations of data objects. Users are able to interact with the dynamic, three-dimensional visualization by manipulating forces and surfaces. These tools, representing respectively user interests and data filters, influence the collection of infoticles according to the rules of Newtonian mechanics. Informational values are expressed through the presence of both dynamic and static characteristics such as motion, directionality, and form. We demonstrate these principles trough a prototype that uses our university's financial budget data.

关键词： information visualization virtual reality database exploratory data analysis

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Breakdown visualization: Multiple foci polyarchies of values and attributes

Breakdown Visualization: Multiple foci polyarchies of values...

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conference on Human Factors in Computing Systems, CHI EA 2002

作者： Prabhakar, Sandeep Conklin, Nathan North, Chris Thirunavukkarasu, Muthukumar Dandapani, Anusha Panchanathan, Ganesh Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg VA 24061 United States

ISBN: (纸本)1581134541

Breakdown analysis involves decomposing data into sub-groups to allow for comparison and identification of problem areas. Good analysis requires the ability to group data based on attributes or values. Breakdown visualization provides a mechanism to support this analysis through user guided decomposition and exploration of tabular data with a polyarchy structure. This is useful in domains such as sports statistics and corporate financial reports. Breakdown visualization utilizes a spreadsheet format for comparison of adjacent visualizations.

关键词： visualization

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Remote transformation and local 3-D reconstruction and visualization of biomedical data sets in Java3D

Remote transformation and local 3-D reconstruction and visua...

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conference on visualization and data analysis 2002

作者： Pinnamaneni, P Saladi, S Meyer, J Mississippi State Univ Dept Comp Sci Starkville MS 39759 USA

ISBN: (纸本)0819444057

Advanced medical imaging technologies have enabled biologists and other researchers in biomedicine, biochemistry and bio-informatics to gain better insight in complex, large-scale data sets. These datasets, which occupy large amounts of space, can no longer archived on local hard drives. San Diego Supercomputer Center (SDSC) maintains a large data repository, called High Performance Storage System (HPSS), where large-scale biomedical data sets can be stored. These data sets must be transmitted over an open or closed network (Internet or Intranet) within a reasonable amount of time to make them accessible in an interactive fashion to researchers all over the world. Our approach deals with extracting and transforming these data sets using Haar wavelets, and transmitting them over a low- to medium-bandwidth network. These compressed data sets are then reconstructed into a 3-D volume on the client side, and rendered using texture mapping in Java3D. The data sets are handled using the Scalable visualization Toolkits developed within an NPACI (National Partnership for Advanced Computational Infrastructure) framework. Sub-volumes of the data sets are extracted to provide a detailed view of a particular region of interest (ROI). This application has also been ported to a C++ platform to obtain higher rendering speed and better performance but lacks platform independency.

关键词： 3-D Haar wavelet transformation texture mapping transparency scalable visualization toolkits medical data sets

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Interactive visualization of large scale time varying data sets 02

Interactive visualization of large scale time varying data s...

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International conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2002

作者： Ljung, Patric Dieckmann, Mark Ynnerman, Anders Scientific Visualization Group University of Linköping Campus Norrköping Sweden

ISBN: (纸本)1581135254

Visual analysis of time varying scientific data can be divided into four different categories with an increasing degree of user interaction. 1) Production of static images representing scientific data at selected times. 2) Production of video sequences in which graphical representation, time line and viewpoints are predefined. 3) Interactive streaming of logged data sets, allowing the user to alter graphical representation, filtering, time lines and viewpoints. 4) Real time interaction with the simulation or experiment that produces the data, allowing the user to alter parameters, graphical representation, filtering, time lines and viewpoints.

关键词： visualization

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Interactive visualization and analysis for gene expression data 35

Interactive visualization and analysis for gene expression d...

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35th Annual Hawaii International conference on System Sciences, HICSS 2002

作者： Tang, Chun Zhang, Li Zhang, Aidong Department of Computer Science and Engineering State University of New York at Buffalo BuffaloNY14260 United States

ISBN: (纸本)0769514359

Currently, the cDNA and genomic sequence projects are processing at such a rapid rate that more and more gene data become available. New methods are needed to efficiently and effectively analyze and visualize this data. We present a visualization method which maps the samples' n-dimensional gene vectors into 2-dimensional points. This mapping is effective in keeping correlation coefficient similarity which is the most suitable similarity measure for analyzing the gene expression data. Our analysis method first removes noise genes from the gene expression matrix, then adjusts the weight for each remaining gene. We have integrated our gene analysis algorithm into a visualization tool based on this mapping method. We can use this tool to monitor the analysis procedure, to adjust parameters dynamically, and to evaluate the result of each step. The experiments based on two groups of multiple sclerosis (MS) and treatment data demonstrate the effectiveness of this approach. © 2002 IEEE.

关键词： Gene expression

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Region-based interactive 3D image analysis of structures in medical data by hybrid rendering

Region-based interactive 3D image analysis of structures in ...

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Medical Imaging 2002 conference

作者： Hinz, M Pohle, R Shin, HO Tönnies, KD Otto Von Guericke Univ D-39106 Magdeburg Germany

ISBN: (纸本)081944426X

In this paper we present a method for interactive analysis of non-segmented medical volume data. We discuss both, different rendering methods for visualization, and different possibilities for interaction in relation to segmentation results. Furthermore, the adaptive region growing approach is applied to both, segmentation of a structure of interest, as well as generation of transfer function for volume rendering of the same structure. The adaptive region growing method is based on the statistical evaluation of 3D-neighbourhood. The method is used for determination of a homogeneity criterion for the structure of interest. Subsequently this criterion is used for segmenting of data and for generating of an initial transfer function for volume rendering. We utilize this for displaying a hybrid 3D-visualization of the segmented structure and the specific gray-value interval of original data. Based on this rendering we discuss possibilities for user-guided validation of segmentation results, based on the variation of several rendering parameters.

关键词： Image segmentation Volume rendering Tumors Liver 3D image processing visualization Analytical research Image analysis Opacity Binary data

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Segmentation of two- and three-dimensional data from electron microscopy using eigenvector analysis

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JOURNAL OF STRUCTURAL BIOLOGY 2002年第1-2期138卷 105-113页

作者： Frangakis, AS Hegerl, R Max Planck Inst Biochem D-82152 Martinsried Germany

An automatic image segmentation method is used to improve processing and visualization of data obtained by electron microscopy. Exploiting affinity criteria between pixels, e.g., proximity and gray level similarity, in conjunction with an eigenvector analysis, the image is subdivided into areas which correspond to objects or meaningful regions. Extending a proposal by Shi and Malik (1997, Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp. 731-737) the approach was adapted to the field of electron microscopy, especially to three-dimensional application as needed by electron tomography. Theory, implementation, parameter setting, and results obtained with a variety of data are presented and discussed. The method turns out to be a powerful tool for visualization with the potential for further improvement by developing and tuning new affinity. (C) 2002 Elsevier Science (USA). All rights reserved.

关键词： THREE-dimensional imaging ELECTRON microscopy EIGENVECTORS

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