2009 IEEE Pacific Visualization Symposium最新文献_第2页

An organization topographic map for visualizing business hierarchical relationships 用于可视化业务层次关系的组织地形图

2009 IEEE Pacific Visualization Symposium Pub Date : 2009-04-20 DOI: 10.1109/PACIFICVIS.2009.4906834

Rieko Otsuka, K. Yano, Nobuo Sato

引用次数: 8

Optimized data transfer for time-dependent, GPU-based glyphs 优化的数据传输的时间依赖，基于gpu的字形

2009 IEEE Pacific Visualization Symposium Pub Date : 2009-04-20 DOI: 10.1109/PACIFICVIS.2009.4906839

Sebastian Grottel, G. Reina, T. Ertl

{"title":"Optimized data transfer for time-dependent, GPU-based glyphs","authors":"Sebastian Grottel, G. Reina, T. Ertl","doi":"10.1109/PACIFICVIS.2009.4906839","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2009.4906839","url":null,"abstract":"Particle-based simulations are a popular tool for researchers in various sciences. In combination with the availability of ever larger COTS clusters and the consequently increasing number of simulated particles the resulting datasets pose a challenge for real-time visualization. Additionally the semantic density of the particles exceeds the possibilities of basic glyphs, like splats or spheres and results in dataset sizes larger by at least an order of magnitude. Interactive visualization on common workstations requires a careful optimization of the data management, especially of the transfer between CPU and GPU. We propose a flexible benchmarking tool along with a series of tests to allow the evaluation of the performance of different CPU/GPU combinations in relation to a particular implementation. We evaluate different uploading strategies and rendering methods for point-based compound glyphs suitable for representing the aforementioned datasets. CPU and GPU-based approaches are compared with respect to their rendering and storage efficiency to point out the optimal solution when dealing with time-dependent datasets. The results of our research are of general interest since they can be transferred to other applications where CPU-GPU bandwidth and a high number of graphical primitives per dataset pose a problem. The employed tool set for streamlining the measurement process is made publicly available.","PeriodicalId":133992,"journal":{"name":"2009 IEEE Pacific Visualization Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130693667","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: 39

Point-based tree representation: A new approach for large hierarchies 基于点的树表示:大型层次结构的新方法

2009 IEEE Pacific Visualization Symposium Pub Date : 2009-04-20 DOI: 10.1109/PACIFICVIS.2009.4906841

Hans-Jörg Schulz, S. Hadlak, H. Schumann

引用次数: 20

A graph reading behavior: Geodesic-path tendency 一种读图行为:测地线路径倾向

2009 IEEE Pacific Visualization Symposium Pub Date : 2009-04-20 DOI: 10.1109/PACIFICVIS.2009.4906848

Weidong Huang, P. Eades, Seok-Hee Hong

引用次数: 65

Correlation study of time-varying multivariate climate data sets 时变多变量气候数据集的相关性研究

2009 IEEE Pacific Visualization Symposium Pub Date : 2009-04-20 DOI: 10.1109/PACIFICVIS.2009.4906852

Jeffrey Sukharev, Chaoli Wang, K. Ma, A. Wittenberg

引用次数: 49

Visualization of signal transduction processes in the crowded environment of the cell 细胞拥挤环境中信号转导过程的可视化

2009 IEEE Pacific Visualization Symposium Pub Date : 2009-04-20 DOI: 10.1109/PACIFICVIS.2009.4906853

M. Falk, Michael Klann, M. Reuss, T. Ertl

{"title":"Visualization of signal transduction processes in the crowded environment of the cell","authors":"M. Falk, Michael Klann, M. Reuss, T. Ertl","doi":"10.1109/PACIFICVIS.2009.4906853","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2009.4906853","url":null,"abstract":"In this paper, we propose a stochastic simulation to model and analyze cellular signal transduction. The high number of objects in a simulation requires advanced visualization techniques: first to handle the large data sets, second to support the human perception in the crowded environment, and third to provide an interactive exploration tool. To adjust the state of the cell to an external signal, a specific set of signaling molecules transports the information to the nucleus deep inside the cell. There, key molecules regulate gene expression. In contrast to continuous ODE models we model all signaling molecules individually in a more realistic crowded and disordered environment. Beyond spatiotemporal concentration profiles our data describes the process on a mesoscopic, molecular level, allowing a detailed view of intracellular events. In our proposed schematic visualization individual molecules, their tracks, or reactions can be selected and brought into focus to highlight the signal transduction pathway. Segmentation, depth cues and depth of field are applied to reduce the visual complexity. We also provide a virtual microscope to display images for comparison with wet lab experiments. The method is applied to distinguish different transport modes of MAPK (mitogen-activated protein kinase) signaling molecules in a cell. In addition, we simulate the diffusion of drug molecules through the extracellular space of a solid tumor and visualize the challenges in cancer related therapeutic drug delivery.","PeriodicalId":133992,"journal":{"name":"2009 IEEE Pacific Visualization Symposium","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127912587","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: 36

Visualizing time-varying features with TAC-based distance fields 用基于tac的距离场可视化时变特征

2009 IEEE Pacific Visualization Symposium Pub Date : 2009-04-20 DOI: 10.1109/PACIFICVIS.2009.4906831

Teng-Yok Lee, Han-Wei Shen

{"title":"Visualizing time-varying features with TAC-based distance fields","authors":"Teng-Yok Lee, Han-Wei Shen","doi":"10.1109/PACIFICVIS.2009.4906831","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2009.4906831","url":null,"abstract":"To analyze time-varying data sets, tracking features over time is often necessary to better understand the dynamic nature of the underlying physical process. Tracking 3D time-varying features, however, is non-trivial when the boundaries of the features cannot be easily defined. In this paper, we propose a new framework to visualize time-varying features and their motion without explicit feature segmentation and tracking. In our framework, a time-varying feature is described by a time series or Time Activity Curve (TAC). To compute the distance, or similarity, between a voxel's time series and the feature, we use the Dynamic Time Warping (DTW) distance metric. The purpose of DTW is to compare the shape similarity between two time series with an optimal warping of time so that the phase shift of the feature in time can be accounted for. After applying DTW to compare each voxel's time series with the feature, a time-invariant distance field can be computed. The amount of time warping required for each voxel to match the feature provides an estimate of the time when the feature is most likely to occur. Based on the TAC-based distance field, several visualization methods can be derived to highlight the position and motion of the feature. We present several case studies to demonstrate and compare the effectiveness of our framework.","PeriodicalId":133992,"journal":{"name":"2009 IEEE Pacific Visualization Symposium","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128600117","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: 32

Dual streamline seeding 双流线播种

2009 IEEE Pacific Visualization Symposium Pub Date : 2009-04-20 DOI: 10.1109/PACIFICVIS.2009.4906832

Olufemi Rosanwo, Christoph Petz, S. Prohaska, H. Hege, I. Hotz

引用次数: 41

Toward effective insight management in visual analytics systems 在视觉分析系统中实现有效的洞察力管理

2009 IEEE Pacific Visualization Symposium Pub Date : 2009-04-20 DOI: 10.1109/PACIFICVIS.2009.4906837

Yang Chen, Jing Yang, W. Ribarsky

{"title":"Toward effective insight management in visual analytics systems","authors":"Yang Chen, Jing Yang, W. Ribarsky","doi":"10.1109/PACIFICVIS.2009.4906837","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2009.4906837","url":null,"abstract":"Although significant progress has been made toward effective insight discovery in visual sense making approaches, there is a lack of effective and efficient approaches to manage the large amounts of insights discovered. In this paper, we propose a systematic approach to leverage this problem around the concept of facts. Facts refer to patterns, relationships, or anomalies extracted from data under analysis. They are the direct products of visual exploration and permit construction of insights together with user's mental model and evaluation. Different from the mental model, the type of facts that can be discovered from data is predictable and application-independent. Thus it is possible to develop a general Fact Management Framework (FMF) to allow visualization users to effectively and efficiently annotate, browse, retrieve, associate, and exchange facts. Since facts are essential components of insights, it will be feasible to extend FMF to effective insight management in a variety of visual analytics approaches. Toward this goal, we first construct a fact taxonomy that categorizes various facts in multidimensional data and captures their essential attributes through extensive literature survey and user studies. We then propose a conceptual framework of fact management based upon this fact taxonomy. A concrete scenario of visual sense making on real data sets illustrates how this FMF will work.","PeriodicalId":133992,"journal":{"name":"2009 IEEE Pacific Visualization Symposium","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125659983","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: 52

Visualizing diffusion tensor imaging data with merging ellipsoids 合并椭球的扩散张量成像数据可视化

2009 IEEE Pacific Visualization Symposium Pub Date : 2009-04-20 DOI: 10.1109/PACIFICVIS.2009.4906849

Wei Chen, Song Zhang, S. Correia, D. Tate

{"title":"Visualizing diffusion tensor imaging data with merging ellipsoids","authors":"Wei Chen, Song Zhang, S. Correia, D. Tate","doi":"10.1109/PACIFICVIS.2009.4906849","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2009.4906849","url":null,"abstract":"Diffusion tensor fields reveal the underlying anatomical structures in biological tissues such as neural fibers in the brain. Most current methods for visualizing the diffusion tensor field can be categorized into two classes: integral curves and glyphs. Integral curves are continuous and represent the underlying fiber structures, but are prone to integration error and loss of local information. Glyphs are useful for representing local tensor information, but do not convey the connectivity in the anatomical structures well. We introduce a simple yet effective visualization technique that extends the streamball method in flow visualization to tensor ellipsoids. Each tensor ellipsoid represents a local tensor, and either blends with neighboring tensors or breaks away from them depending on their orientations and anisotropies. The resulting visualization shows the connectivity information in the underlying anatomy while characterizing the local tenors in detail. By interactively changing an iso-value parameter, users can examine the diffusion tensor field in the entire spectrum between the continuous integral curves and the discrete glyphs. Expert evaluation indicates that this method conveys very useful visual information about local anisotropy in white matter fibers. Such information was previously unavailable in tractography models. Our method provides a visual tool for assessing variability in DTI fiber tract integrity and its relation to function.","PeriodicalId":133992,"journal":{"name":"2009 IEEE Pacific Visualization Symposium","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123752581","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: 17