Journal of Visual Languages and Computing最新文献_第2页

Evaluating aesthetics for user-sketched layouts of symmetric graphs 对称图用户草图布局的美学评价

Journal of Visual Languages and Computing Pub Date : 2018-10-01 DOI: 10.1016/j.jvlc.2018.08.004

Chun-Cheng Lin , Weidong Huang , Wan-Yu Liu , Wen-Lin Chen

{"title":"Evaluating aesthetics for user-sketched layouts of symmetric graphs","authors":"Chun-Cheng Lin , Weidong Huang , Wan-Yu Liu , Wen-Lin Chen","doi":"10.1016/j.jvlc.2018.08.004","DOIUrl":"https://doi.org/10.1016/j.jvlc.2018.08.004","url":null,"abstract":"<div><p>In evaluating aesthetics of graph drawings, recent works have provided participants with an adjacency list of a graph and asked them to sketch a pleasing layout of the graph. However, this line of research has not considered aesthetics for user-sketched layouts of graphs with symmetries, which are an important property of a given graph drawing. Therefore, the work reported in this paper focuses on empirically evaluating aesthetics for user-sketched layouts of symmetric graphs. We provided participants adjacency lists of two symmetric graphs and asked them to sketch the two graphs. We analyzed whether symmetries were shown in user-sketched drawings, and further analyzed the aesthetics based on their drawing processes and drawing preferences. In addition, our experiment includes multiple stages to analyze whether the participants had the potential learning ability to draw symmetric structures of graphs. We found that in drawing symmetrical graphs, showing symmetry was likely considered more important than minimizing edge crossings, and that most participants made substantial progress in their ability to create symmetric drawings after going through the experimental stages.</p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"48 ","pages":"Pages 123-133"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2018.08.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72081870","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

Interactive stratigraphic structure visualization for seismic data 地震数据的交互式地层结构可视化

Journal of Visual Languages and Computing Pub Date : 2018-10-01 DOI: 10.1016/j.jvlc.2018.07.004

Richen Liu , Siming Chen , Genlin Ji , Bin Zhao , Qiusheng Li , Mingjun Su

引用次数: 13

Data-driven human model estimation for realtime motion capture 用于实时运动捕捉的数据驱动人体模型估计

Journal of Visual Languages and Computing Pub Date : 2018-10-01 DOI: 10.1016/j.jvlc.2018.05.001

Le Su , Lianjun Liao , Wenpeng Zhai , Shihong Xia

{"title":"Data-driven human model estimation for realtime motion capture","authors":"Le Su , Lianjun Liao , Wenpeng Zhai , Shihong Xia","doi":"10.1016/j.jvlc.2018.05.001","DOIUrl":"https://doi.org/10.1016/j.jvlc.2018.05.001","url":null,"abstract":"<div><p><span>In this paper, we present a practicable method to estimate individual 3D human model in a low cost multi-view realtime 3D human motion capture system. The key idea is: using human </span>geometric model<span> database and human motion database to establish geometric priors and pose prior model; when given the geometric prior, pose prior and a standard template geometry model, the individual human body model and its embedded skeleton can be estimated from the 3D point cloud captured from multiple depth cameras. Because of the introduction of the global prior model of body pose and shapes into a unified nonlinear optimization problem, the accuracy of geometric model estimation is significantly improved. The experiments on the synthesized data set with noise or without noise and the real data set captured from multiple depth cameras show that the estimation results of our method are more reasonable and accurate than the classical methods, and our method is better noise-immunity. The proposed new individual 3D geometric model estimation method is suitable for online realtime human motion tracking system.</span></p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"48 ","pages":"Pages 10-18"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2018.05.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72036160","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

Small-scale surface details simulation using divergence-free SPH 使用无发散SPH的小尺度表面细节模拟

Journal of Visual Languages and Computing Pub Date : 2018-10-01 DOI: 10.1016/j.jvlc.2018.07.005

Xiaokun Wang , Xiaojuan Ban , Sinuo Liu , Runzi He , Yuting Xu

引用次数: 2

Visual exploration of urban functions via spatio-temporal taxi OD data 基于时空出租车OD数据的城市功能可视化探索

Journal of Visual Languages and Computing Pub Date : 2018-10-01 DOI: 10.1016/j.jvlc.2018.08.009

Zhiguang Zhou, Jiajun Yu, Zhiyong Guo, Yuhua Liu

{"title":"Visual exploration of urban functions via spatio-temporal taxi OD data","authors":"Zhiguang Zhou, Jiajun Yu, Zhiyong Guo, Yuhua Liu","doi":"10.1016/j.jvlc.2018.08.009","DOIUrl":"https://doi.org/10.1016/j.jvlc.2018.08.009","url":null,"abstract":"<div><p>City is a complex system containing various kinds of functional areas. They are always defined by government planning and refining based on the actual requirements of citizens, which are of significant importance to urban developments, ranging from environmental governance and rail transportation to disease prevention and public security. Taxi is a major means of urban transportation, and the taxi trips record human behaviors and mobility patterns, which offer a valuable opportunity for users to get insights into urban functions. Therefore, we propose a visual analysis system in this paper, for an insightful exploration of urban functions based on spatio-temporal taxi OD trips. First, a matrix is defined to restructure spatio-temporal attributes of taxi OD data, and a Non-negative Matrix Factorization(NMF) is applied to classify and identify urban functional areas. Then, a set of visual encodings are designed to visualize mobility patterns of urban areas with different functions, such as the radial chart, the timeline view and the force-directed view. In addition, the spatio-temporal clustering model and the visual designs are all implemented in a visualization framework, with a set of convenient interactions integrated, enabling users to quickly identify areas of different urban functions and analyze the human mobility patterns across different urban areas. Case studies based on real-world datasets and interviews with domain experts have demonstrated the effectiveness of our system.</p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"48 ","pages":"Pages 169-177"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2018.08.009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72036420","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: 27

Uncertainty-aware visual analytics for exploring human behaviors from heterogeneous spatial temporal data 从异构时空数据中探索人类行为的不确定性视觉分析

Journal of Visual Languages and Computing Pub Date : 2018-10-01 DOI: 10.1016/j.jvlc.2018.06.007

Siming Chen , Zuchao Wang , Jie Liang , Xiaoru Yuan

{"title":"Uncertainty-aware visual analytics for exploring human behaviors from heterogeneous spatial temporal data","authors":"Siming Chen , Zuchao Wang , Jie Liang , Xiaoru Yuan","doi":"10.1016/j.jvlc.2018.06.007","DOIUrl":"https://doi.org/10.1016/j.jvlc.2018.06.007","url":null,"abstract":"<div><p>When analyzing human behaviors, we need to construct the human behaviors from multiple sources of data, e.g. trajectory data, transaction data, identity data, etc. The problems we’re facing are the data conflicts, different resolution, missing and conflicting data, which together lead to the uncertainty in the spatial temporal data. Such uncertainty in data leads to difficulties and even failure in the visual analytics task for analyzing people behavior, pattern and outliers. However, traditional automatic methods can not solve the problems in such complex scenario, where the uncertain and conflicting patterns are not well-defined. To solve the problems, we proposed a semi-automatic approach, for users to solve the conflicts and identify the uncertainties. To be general, we summarized five types of uncertainties and solutions to conduct the tasks of behavior analysis. Combined with the uncertainty-aware methods, we proposed a visual analytics system to analyze human behaviors, detect patterns and find outliers. Case studies from the IEEE VAST Challenge 2014 dataset confirm the effectiveness of our approach.</p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"48 ","pages":"Pages 187-198"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2018.06.007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72036450","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

Making graph visualization a user-centered process 使图形可视化成为以用户为中心的过程

Journal of Visual Languages and Computing Pub Date : 2018-10-01 DOI: 10.1016/j.jvlc.2018.07.001

Weidong Huang , Jing Luo , Tomasz Bednarz , Henry Duh

{"title":"Making graph visualization a user-centered process","authors":"Weidong Huang , Jing Luo , Tomasz Bednarz , Henry Duh","doi":"10.1016/j.jvlc.2018.07.001","DOIUrl":"https://doi.org/10.1016/j.jvlc.2018.07.001","url":null,"abstract":"<div><p>Many problems in application domains deal with graphs. Graphs are often visualized into node-link diagrams for better understanding of them. Traditionally, graphs are visualized to meet some pre-defined quality metrics, or aesthetics. It is commonly agreed that graphs that are drawn based on aesthetics are more likely to be not only beautiful but also comprehensible. However, those aesthetics were originally proposed by researchers based on their intuitions from a designer’s perspective. Although some of them have been empirically validated, to produce truly user cognitively friendly visualizations,well-grounded cognitive theories and design guidelines are needed.</p><p>In this paper, we attempt to explore a cognitive approach that follows a user-centered process in visualizing graphs. We begin by proposing a graph visualization model, which is further conceptualized into a two-stage assessment cycle. It is argued that to provide effective cognitive support, it is essential to understand the cognitive process of a particular task in association with the attributes of the end user and the visual representation, and that to develop a set of design principles, what cognitive processes or graph reading strategies are involved should be part of evaluation. We materialized the model by reviewing the literature and providing relevant examples in the context of providing cognitive support and understanding cognitive process. We introduce theories from other disciplines such as perceptual and cognitive psychology, summarize methodologies that have been used in prior research, and discuss their implications for producing user-centered visualizations.</p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"48 ","pages":"Pages 1-8"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2018.07.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72036162","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: 14

Focus+context grouping for animated transitions 用于动画过渡的焦点+上下文分组

Journal of Visual Languages and Computing Pub Date : 2018-10-01 DOI: 10.1016/j.jvlc.2018.06.006

Yixian Zheng , Wenchao Wu , Nan Cao , Huamin Qu , Lionel M. Ni

引用次数: 5

Guest editor's introduction 客座编辑介绍

Journal of Visual Languages and Computing Pub Date : 2018-10-01 DOI: 10.1016/j.jvlc.2018.07.003

Shi-Kuo Chang (Guest Editor)

引用次数: 0

Special issue on VINCI 2016 best papers VINCI 2016最佳论文特刊

Journal of Visual Languages and Computing Pub Date : 2018-10-01 DOI: 10.1016/j.jvlc.2018.07.002

Andreas Kerren

引用次数: 0