2017 21st International Conference Information Visualisation (IV)最新文献_第6页

InfluViz — A Visualization Tool for Exploring and Analyzing Creative Influence Between Artists and their Works InfluViz & # x2014;探索和分析艺术家及其作品之间创作影响的可视化工具

2017 21st International Conference Information Visualisation (IV) Pub Date : 2017-07-01 DOI: 10.1109/iV.2017.66

Christine Schikora, Daniel Isemann

引用次数: 1

Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set 挑战3D头部跟踪和评估使用无约束的测试数据集

2017 21st International Conference Information Visualisation (IV) Pub Date : 2017-07-01 DOI: 10.1109/iV.2017.40

F. Ababsa, Ngoc-Trung Tran, M. Charbit

引用次数: 0

Changes in Student’s Reflection Activity During a Fully Online Course in Comparison with a Blended Learning Course 与混合学习课程相比，全在线课程中学生反思活动的变化

2017 21st International Conference Information Visualisation (IV) Pub Date : 2017-07-01 DOI: 10.1109/iV.2017.72

M. Nakayama, K. Mutsuura, Hiroh Yamamoto

引用次数: 2

G2- Approximation of Parabolic Arcs 抛物线弧的近似

2017 21st International Conference Information Visualisation (IV) Pub Date : 2017-07-01 DOI: 10.1109/iV.2017.35

M. Hussain, Ayesha Shakeel, M. Hussain

引用次数: 2

Users' Perception on the Use of MetricAttitude to Perform Source Code Comprehension Tasks: A Focus Group Study 用户对使用度量态度执行源代码理解任务的看法:焦点小组研究

2017 21st International Conference Information Visualisation (IV) Pub Date : 2017-07-01 DOI: 10.1109/iV.2017.26

R. Francese, M. Risi, G. Scanniello, G. Tortora

引用次数: 4

A Visual Representation of Clusters Characteristics using Edge Bundling for Parallel Coordinates 利用平行坐标的边缘捆绑可视化表示聚类特征

2017 21st International Conference Information Visualisation (IV) Pub Date : 2017-07-01 DOI: 10.1109/iV.2017.29

R. Lima, Carlos G. R. Santos, B. Meiguins

{"title":"A Visual Representation of Clusters Characteristics using Edge Bundling for Parallel Coordinates","authors":"R. Lima, Carlos G. R. Santos, B. Meiguins","doi":"10.1109/iV.2017.29","DOIUrl":"https://doi.org/10.1109/iV.2017.29","url":null,"abstract":"This paper proposes an edge bundling approach applied on parallel coordinates to improve the visualization of cluster information directly from the overview. Lines belonging to a cluster are bundled into a single curve between axes, where the horizontal and vertical positioning of the bundling intersection (known as bundling control points) to encode pertinent information about the cluster in a given dimension, such as variance, standard deviation, mean, median, and so on. The hypothesis is that adding this information to the overview improves the visualization overview at the same that it does not prejudice the understanding in other aspects. We have performed tests with participants to compare our approach with classic parallel coordinates and other consolidated bundling technique. The results showed most of the initially proposed hypotheses to be confirmed at the end of the study, as the tasks were performed successfully in the majority of tasks maintaining a low response time in average, as well as having more aesthetic pleasing according to participants’ opinion. KeywordsEdge Bundling, Parallel Coordinates, Data Clustering.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126204721","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: 6

Dynamic Graph Visualization on Different Temporal Granularities 不同时间粒度的动态图形可视化

2017 21st International Conference Information Visualisation (IV) Pub Date : 2017-07-01 DOI: 10.1109/iV.2017.44

Michael Burch, Thomas Reinhardt

{"title":"Dynamic Graph Visualization on Different Temporal Granularities","authors":"Michael Burch, Thomas Reinhardt","doi":"10.1109/iV.2017.44","DOIUrl":"https://doi.org/10.1109/iV.2017.44","url":null,"abstract":"Dynamic graphs are typically represented in a time-to-space mapping with the goal to preserve the mental map in order to reduce cognitive efforts for comparison tasks. Such a mapping from time to space has the general drawback that space limitations are sooner reached than in corresponding time-to-time mappings to which graph animation belongs. Consequently, to get an overview about the dynamics in a graph sequence, space-efficient and compact visual encodings are used to show as many graphs in the sequence as possible. Temporal graph aggregation is hence a clever data transformation strategy, but negatively, it does not provide an overview about individual graphs nor does it show graph subsequences on finer time granularities. In this paper we describe a visualization technique that can visualize dynamic graphs in a time-to-space mapping and additionally, allows the graph analyst to interactively explore the dynamic graph data on different temporal granularities. Moreover, if the dynamic graph data is rather dense, it can be filtered by selecting density intervals. We illustrate the usefulness of our visualization tool by applying it to a dynamic graph dataset that simulates time-contiuously changing graphs.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128461022","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: 2

A Technique for Ranking and Visualization of Crowd-Powered Subjective Evaluations 群体主观评价的排序和可视化技术

2017 21st International Conference Information Visualisation (IV) Pub Date : 2017-07-01 DOI: 10.1109/iV.2017.25

Erika Gomi, Yuri Saito, T. Itoh, Mariko Hagita, M. Takatsuka

引用次数: 1

Visual Debugging of SPH Simulations SPH仿真的可视化调试

2017 21st International Conference Information Visualisation (IV) Pub Date : 2017-07-01 DOI: 10.1109/iV.2017.20

S. Reinhardt, M. Huber, Otilia Dumitrescu, M. Krone, B. Eberhardt, D. Weiskopf

{"title":"Visual Debugging of SPH Simulations","authors":"S. Reinhardt, M. Huber, Otilia Dumitrescu, M. Krone, B. Eberhardt, D. Weiskopf","doi":"10.1109/iV.2017.20","DOIUrl":"https://doi.org/10.1109/iV.2017.20","url":null,"abstract":"Smoothed particle hydrodynamics (SPH) is a popular mesh-free, particle-based fluid simulation approach for a wide range of applications. There are several numerical variants of SPH along with a variety of models for aspects such as boundary conditions, compressibility or incompressibility, and surface tension. Different combinations of these models lead to varying effects that occur during simulation, and their analysis is a critical challenge for fluid mechanics. In this paper, we address this challenge by presenting a visual debugging application for simulations, which allows users to evaluate the properties of the models and to detect possible computational errors. Our multi-view application uses a combination of interactive 3D visualization of the particles and non-spatial visualizations from the field of information visualization, namely scatter plots and parallel coordinates plots. Our visual debugging environment thus enables a quantitative analysis of the multidimensional simulation attributes, including internal and physical properties contributing to the simulation process. All views support brushing and linking, that is, selections of interesting value ranges in the plots are directly visible in the 3D view and, conversely, the selection of particles in the 3D view highlights the corresponding data points in the plots. Since typical SPH simulations come with large numbers of data points, we employ stochastic subsampling to reduce visual clutter in the non-spatial views and accelerate the rendering speed. We discuss four real-world use cases for visual debugging of fluid simulations that showcase how our visual debugging environment is instrumental for identify code errors and increases the understanding of the simulation models. We also show how the combination of coupled views can reveal internal details, thus serving to improve simulation results.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131891402","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

A Scatterplots Selection Technique for Multi-dimensional Data Visualization Combining with Parallel Coordinate Plots 结合平行坐标图的多维数据可视化散点图选择技术

2017 21st International Conference Information Visualisation (IV) Pub Date : 2017-07-01 DOI: 10.1109/iV.2017.63

Ayaka Watanabe, T. Itoh, Kazuhisa Chiba, Masahiro Kanazaki

引用次数: 9