2019 IEEE Visualization Conference (VIS)最新文献_第6页

Evaluating Ordering Strategies of Star Glyph Axes 星形轴排序策略的评价

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-08-01 DOI: 10.1109/VISUAL.2019.8933656

Matthias Miller, Xuan Zhang, J. Fuchs, M. Blumenschein

引用次数: 6

Visual Cues in Estimation of Part-To-Whole Comparisons 部分-整体比较估计中的视觉线索

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-08-01 DOI: 10.1109/VISUAL.2019.8933718

Stephen Redmond

引用次数: 10

Overlap-Free Drawing of Generalized Pythagoras Trees for Hierarchy Visualization 用于层次可视化的广义毕达哥拉斯树的无重叠绘制

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-07-30 DOI: 10.1109/VISUAL.2019.8933606

T. Munz, Michael Burch, Toon van Benthem, Y. Poels, Fabian Beck, D. Weiskopf

引用次数: 7

Nonuniform Timeslicing of Dynamic Graphs Based on Visual Complexity 基于视觉复杂度的动态图非均匀时间切片

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-07-28 DOI: 10.1109/VISUAL.2019.8933748

Yong Wang, D. Archambault, Hammad Haleem, Torsten Möller, Yanhong Wu, Huamin Qu

引用次数: 18

Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters 斜度相关的平行坐标渲染以减少密度失真和鬼影簇

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-07-26 DOI: 10.1109/VISUAL.2019.8933706

David Pomerenke, Frederik L. Dennig, D. Keim, J. Fuchs, M. Blumenschein

{"title":"Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters","authors":"David Pomerenke, Frederik L. Dennig, D. Keim, J. Fuchs, M. Blumenschein","doi":"10.1109/VISUAL.2019.8933706","DOIUrl":"https://doi.org/10.1109/VISUAL.2019.8933706","url":null,"abstract":"Parallel coordinates are a popular technique to visualize multidimensional data. However, they face a significant problem influencing the perception and interpretation of patterns. The distance between two parallel lines differs based on their slope. Vertical lines are rendered longer and closer to each other than horizontal lines. This problem is inherent in the technique and has two main consequences: (1) clusters which have a steep slope between two axes are visually more prominent than horizontal clusters. (2) Noise and clutter can be perceived as clusters, as a few parallel vertical lines visually emerge as a ghost cluster. Our paper makes two contributions: First, we formalize the problem and show its impact. Second, we present a novel technique to reduce the effects by rendering the polylines of the parallel coordinates based on their slope: horizontal lines are rendered with the default width, lines with a steep slope with a thinner line. Our technique avoids density distortions of clusters, can be computed in linear time, and can be added on top of most parallel coordinate variations. To demonstrate the usefulness, we show examples and compare them to the classical rendering.","PeriodicalId":192801,"journal":{"name":"2019 IEEE Visualization Conference (VIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130116377","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: 7

Learning Vis Tools: Teaching Data Visualization Tutorials 学习可视化工具:教学数据可视化教程

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-07-20 DOI: 10.1109/VISUAL.2019.8933751

Leo Yu-Ho Lo, Yao Ming, Huamin Qu

引用次数: 9

TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy TempoCave:可视化动态连接体数据集以支持认知行为治疗

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-06-18 DOI: 10.1109/VISUAL.2019.8933544

R. Xu, M. M. Thomas, A. Leow, O. Ajilore, A. Forbes

{"title":"TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy","authors":"R. Xu, M. M. Thomas, A. Leow, O. Ajilore, A. Forbes","doi":"10.1109/VISUAL.2019.8933544","DOIUrl":"https://doi.org/10.1109/VISUAL.2019.8933544","url":null,"abstract":"We introduce TempoCave, a novel visualization application for analyzing dynamic brain networks, or connectomes. TempoCave provides a range of functionality to explore metrics related to the activity patterns and modular affiliations of different regions in the brain. These patterns are calculated by processing raw data retrieved functional magnetic resonance imaging (fMRI) scans, which creates a network of weighted edges between each brain region, where the weight indicates how likely these regions are to activate synchronously. TempoCave supports the analysis needs of clinical psychologists, who examine these modular affiliations and weighted edges and their temporal dynamics, utilizing them to understand relationships between neurological disorders and brain activity, which could have significant impact on how patients are diagnosed and treated. In addition to summarizing the main functionality of TempoCave, we present a real world use case that analyzes pre- and post-treatment connectome datasets from 27 subjects in a clinical study investigating the use of cognitive behavior therapy to treat major depression disorder, indicating that TempoCave can provide new insight into the dynamic behavior of the human brain.","PeriodicalId":192801,"journal":{"name":"2019 IEEE Visualization Conference (VIS)","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114384652","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: 4

Conditional Parallel Coordinates 条件平行坐标

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-06-18 DOI: 10.1109/VISUAL.2019.8933632

D. Weidele

引用次数: 14

Periphery Plots for Contextualizing Heterogeneous Time-Based Charts 上下文化异构时间图的外围图

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-06-18 DOI: 10.1109/VISUAL.2019.8933582

B. Morrow, Trevor Manz, Arlene E. Chung, N. Gehlenborg, D. Gotz

引用次数: 13

scenery: Flexible Virtual Reality Visualization on the Java VM 布景:灵活的虚拟现实可视化在Java虚拟机

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-06-16 DOI: 10.1109/VISUAL.2019.8933605

Ulrik Günther, T. Pietzsch, Aryaman Gupta, Kyle I. S. Harrington, P. Tomančák, S. Gumhold, I. Sbalzarini

{"title":"scenery: Flexible Virtual Reality Visualization on the Java VM","authors":"Ulrik Günther, T. Pietzsch, Aryaman Gupta, Kyle I. S. Harrington, P. Tomančák, S. Gumhold, I. Sbalzarini","doi":"10.1109/VISUAL.2019.8933605","DOIUrl":"https://doi.org/10.1109/VISUAL.2019.8933605","url":null,"abstract":"Life science today involves computational analysis of a large amount and variety of data, such as volumetric data acquired by state-of-the-art microscopes, or mesh data from analysis of such data or simulations. Visualization is often the first step in making sense of data, and a crucial part of building and debugging analysis pipelines. It is therefore important that visualizations can be quickly prototyped, as well as developed or embedded into full applications. In order to better judge spatiotemporal relationships, immersive hardware, such as Virtual or Augmented Reality (VR/AR) headsets and associated controllers are becoming invaluable tools. In this work we introduce scenery, a flexible VR/AR visualization framework for the Java VM that can handle mesh and large volumetric data, containing multiple views, timepoints, and color channels. scenery is free and open-source software, works on all major platforms, and uses the Vulkan or OpenGL rendering APIs. We introduce scenery’s main features and example applications, such as its use in VR for microscopy, in the biomedical image analysis software Fiji, or for visualising agent-based simulations.","PeriodicalId":192801,"journal":{"name":"2019 IEEE Visualization Conference (VIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133074121","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: 20