2010 IEEE Pacific Visualization Symposium (PacificVis)最新文献

Context preserving dynamic word cloud visualization 保持上下文的动态词云可视化

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-11-01 DOI: 10.1109/PACIFICVIS.2010.5429600

Weiwei Cui, Yingcai Wu, Shixia Liu, Furu Wei, Michelle X. Zhou, Huamin Qu

{"title":"Context preserving dynamic word cloud visualization","authors":"Weiwei Cui, Yingcai Wu, Shixia Liu, Furu Wei, Michelle X. Zhou, Huamin Qu","doi":"10.1109/PACIFICVIS.2010.5429600","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2010.5429600","url":null,"abstract":"In this paper, we introduce a visualization method that couples a trend chart with word clouds to illustrate temporal content evolutions in a set of documents. Specifically, we use a trend chart to encode the overall semantic evolution of document content over time. In our work, semantic evolution of a document collection is modeled by varied significance of document content, represented by a set of representative keywords, at different time points. At each time point, we also use a word cloud to depict the representative keywords. Since the words in a word cloud may vary one from another over time (e.g., words with increased importance), we use geometry meshes and an adaptive force-directed model to lay out word clouds to highlight the word differences between any two subsequent word clouds. Our method also ensures semantic coherence and spatial stability of word clouds over time. Our work is embodied in an interactive visual analysis system that helps users to perform text analysis and derive insights from a large collection of documents. Our preliminary evaluation demonstrates the usefulness and usability of our work.","PeriodicalId":149295,"journal":{"name":"2010 IEEE Pacific Visualization Symposium (PacificVis)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132240593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 292

Visualizing field-measured seismic data 可视化现场测量地震数据

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429610

Tung-Ju Hsieh, Cheng-Kai Chen, K. Ma

{"title":"Visualizing field-measured seismic data","authors":"Tung-Ju Hsieh, Cheng-Kai Chen, K. Ma","doi":"10.1109/PACIFICVIS.2010.5429610","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2010.5429610","url":null,"abstract":"This paper presents visualization of field-measured, time-varying multidimensional earthquake accelerograph readings. Direct volume rendering is used to depict the space-time relationships of seismic readings collected from sensor stations in an intuitive way such that the progress of seismic wave propagation of an earthquake event can be directly observed. The resulting visualization reveals the sequence of seismic wave initiation, propagation, attenuation over time, and energy releasing events. We provide a case study on the magnitude scale Mw 7.6 Chi-Chi earthquake in Taiwan, which is the most thoroughly recorded earthquake event ever in the history. More than 400 stations recorded this event, and the readings from this event increased global strong-motion records five folds. Each station measured east-west, north-south, and vertical component of acceleration for approximately 90 seconds. The sensor network released the initial raw data within minutes after the Chi-Chi mainshock. It is essential to have a visualization system for fast data exploring and analyzing, offering crucial visual analytical information for scientists to make quick judgments. Raw data requires preprocessing before it can be rendered. We generated a sequence of ground-motion wave-field maps of 350 × 200 regular grid covers the entire Taiwan island from the sensor network readings. The result is a total of 1000 ground-motion wave-field maps with 0.1 second interval, forming a 1000 × 350 × 200 volume data set. We show that visualizing the time-varying component of the data spatially uncovers the changing features hidden in the data.","PeriodicalId":149295,"journal":{"name":"2010 IEEE Pacific Visualization Symposium (PacificVis)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124537471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Shape-based transfer functions for volume visualization 基于形状的体积可视化传递函数

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429624

Jörg-Stefan Praßni, T. Ropinski, Jörg Mensmann, K. Hinrichs

{"title":"Shape-based transfer functions for volume visualization","authors":"Jörg-Stefan Praßni, T. Ropinski, Jörg Mensmann, K. Hinrichs","doi":"10.1109/PACIFICVIS.2010.5429624","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2010.5429624","url":null,"abstract":"We present a novel classification technique for volume visualization that takes the shape of volumetric features into account. The presented technique enables the user to distinguish features based on their 3D shape and to assign individual optical properties to these. Based on a rough pre-segmentation that can be done by windowing, we exploit the curve-skeleton of each volumetric structure in order to derive a shape descriptor similar to those used in current shape recognition algorithms. The shape descriptor distinguishes three main shape classes: longitudinal, surface-like, and blobby shapes. In contrast to previous approaches, the classification is not performed on a per-voxel level but assigns a uniform shape descriptor to each feature and therefore allows a more intuitive user interface for the assignment of optical properties. By using the proposed technique, it becomes for instance possible to distinguish blobby heart structures filled with contrast agents from potentially occluding vessels and rib bones. After introducing the basic concepts, we show how the presented technique performs on real world data, and we discuss current limitations.","PeriodicalId":149295,"journal":{"name":"2010 IEEE Pacific Visualization Symposium (PacificVis)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123169496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 58

Crossing-free many-to-one boundary labeling with hyperleaders 具有超前导的无交叉多对一边界标记

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429592

Chun-Cheng Lin

{"title":"Crossing-free many-to-one boundary labeling with hyperleaders","authors":"Chun-Cheng Lin","doi":"10.1109/PACIFICVIS.2010.5429592","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2010.5429592","url":null,"abstract":"In boundary labeling, each point site is uniquely connected to a label placed on the boundary of an enclosing rectangle by a leader, which may be a rectilinear or straight line segment. Most of the results reported in the literature for boundary labeling deal with the so-called one-to-one boundary labeling, i.e., different sites are labelled differently. In certain applications of boundary labeling, however, more than one site may be required to be connected to a common label. In this case, the presence of crossings among leaders often becomes inevitable such that the labeling often has a high degree of confusion in visualization. In this paper, for multi-site-to-one-label boundary labeling, crossings among leaders are avoided by substituting hyperleaders for leaders and by applying dummy labels (i.e., copies/duplicates of labels). Minimizing the number of dummy labels becomes a critical design issue as dummy labels are not required in the initial setting. Therefore, we consider the problem of minimizing the number of dummy labels for multi-site-to-one-label boundary labeling, i.e., finding the placements of labels and hyperleaders such that the total number of dummy labels is minimized and there are no crossings among hyperleaders. Furthermore, after the number of dummy labels is determined, minimizing the total hyperleader length as well as the bends of hyperleaders is also concerned in postprocessing procedure. In this paper, we present polynomial time algorithms for the above one-side and two-side labeling schemes, and show their correctness from a theoretical point of view. In addition, we provide a simulated annealing algorithm for the four-side labeling schemes with objective to minimize the total number of dummy labels as well as the total leader length. Experimental results show that our four-side solutions look promising, as compared to the optimal solutions.","PeriodicalId":149295,"journal":{"name":"2010 IEEE Pacific Visualization Symposium (PacificVis)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134050271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 30

Volume exploration using ellipsoidal Gaussian transfer functions 体积勘探使用椭球高斯传递函数

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429612

Yunhai Wang, Wei Chen, Guihua Shan, Tingxing Dong, Xue-bin Chi

引用次数: 19

Quantitative effectiveness measures for direct volume rendered images 直接体渲染图像的定量有效性度量

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429623

Yingcai Wu, Huamin Qu, Ka-Kei Chung, Ming-Yuen Chan, Hong Zhou

引用次数: 11

Caleydo: Design and evaluation of a visual analysis framework for gene expression data in its biological context Caleydo:设计和评估基因表达数据在生物学背景下的可视化分析框架

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429609

A. Lex, M. Streit, E. Kruijff, D. Schmalstieg

{"title":"Caleydo: Design and evaluation of a visual analysis framework for gene expression data in its biological context","authors":"A. Lex, M. Streit, E. Kruijff, D. Schmalstieg","doi":"10.1109/PACIFICVIS.2010.5429609","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2010.5429609","url":null,"abstract":"The goal of our work is to support experts in the process of hypotheses generation concerning the roles of genes in diseases. For a deeper understanding of the complex interdependencies between genes, it is important to bring gene expressions (measurements) into context with pathways. Pathways, which are models of biological processes, are available in online databases. In these databases, large networks are decomposed into small sub-graphs for better manageability. This simplification results in a loss of context, as pathways are interconnected and genes can occur in multiple instances scattered over the network. Our main goal is therefore to present all relevant information, i.e., gene expressions, the relations between expression and pathways and between multiple pathways in a simple, yet effective way. To achieve this we employ two different multiple-view approaches. Traditional multiple views are used for large datasets or highly interactive visualizations, while a 2.5D technique is employed to support a seamless navigation of multiple pathways which simultaneously links to the expression of the contained genes. This approach facilitates the understanding of the interconnection of pathways, and enables a non-distracting relation to gene expression data. We evaluated Caleydo with a group of users from the life science community. Users were asked to perform three tasks: pathway exploration, gene expression analysis and information comparison with and without visual links, which had to be conducted in four different conditions. Evaluation results show that the system can improve the process of understanding the complex network of pathways and the individual effects of gene expression regulation considerably. Especially the quality of the available contextual information and the spatial organization was rated good for the presented 2.5D setup.","PeriodicalId":149295,"journal":{"name":"2010 IEEE Pacific Visualization Symposium (PacificVis)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129859671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 77

Volume visualization based on statistical transfer-function spaces 基于统计传递函数空间的体可视化

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429615

M. Haidacher, Daniel Patel, S. Bruckner, A. Kanitsar, E. Gröller

引用次数: 62

GMap: Visualizing graphs and clusters as maps GMap:将图形和集群可视化为地图

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429590

E. Gansner, Yifan Hu, S. Kobourov

引用次数: 137

Stack zooming for multi-focus interaction in time-series data visualization 时序数据可视化中多焦点交互的堆栈缩放

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429613

Waqas Javed, N. Elmqvist

引用次数: 64