IEEE Transactions on Visualization and Computer Graphics最新文献

{"title":"Further Towards Unambiguous Edge Bundling: Investigating Power-Confluent Drawings for Network Visualization","authors":"Jonathan X. Zheng, S. Pawar, Dan F. M. Goodman","doi":"10.1109/TVCG.2019.2944619","DOIUrl":"https://doi.org/10.1109/TVCG.2019.2944619","url":null,"abstract":"Bach et al. [1] recently presented an algorithm for constructing confluent drawings, by leveraging power graph decomposition to generate an auxiliary routing graph. We identify two issues with their method which we call the node split and short-circuit problems, and solve both by modifying the routing graph to retain the hierarchical structure of power groups. We also classify the exact type of confluent drawings that the algorithm can produce as ‘power-confluent’, and prove that it is a subclass of the previously studied ‘strict confluent’ drawing. A description and source code of our implementation is also provided, which additionally includes an improved method for power graph construction.","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"27 1","pages":"2244-2249"},"PeriodicalIF":5.2,"publicationDate":"2018-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TVCG.2019.2944619","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49193531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploiting the limitations of spatio-temporal vision for more efficient VR rendering","authors":"G. Denes, Kuba Maruszczyk, Rafal Mantiuk","doi":"10.1145/3230744.3230760","DOIUrl":"https://doi.org/10.1145/3230744.3230760","url":null,"abstract":"Increasingly higher virtual reality (VR) display resolutions and good-quality anti-aliasing make rendering in VR prohibitively expensive. The generation of these complex frames 90 times per second in a binocular setup demands substantial computational power. Wireless transmission of the frames from the GPU to the VR headset poses another challenge, requiring high-bandwidth dedicated links.","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"1 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2018-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3230744.3230760","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64007548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"2017 TVCG Best Associate Editor Award and Best Reviewer Award","authors":"L. De Floriani","doi":"10.1109/tvcg.2018.2835878","DOIUrl":"https://doi.org/10.1109/tvcg.2018.2835878","url":null,"abstract":"","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"1 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/tvcg.2018.2835878","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62599975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Paper Reviewers.","authors":"Daniel Acevedo-Feliz, Matt Adcock, David Altimira, M. Ammi, P. Apostolellis, I. Arafat, A. Bönsch, James Baumeister, Hrvoje Benko, Lonni Besançon, R. Blach, TeAirra Brown, Lauren Cairco, W. Chinthammit, Isaac Cho, D. Coffey, Ashely Colley, James L. Crowley, Florian Daiber, A. Dey, Andreas Duenser, Mai Elshehaly, C. Fernando, Cédric Fleury, A. Forbes, B. Fröhlich, H. Debarba, A. S. García, Timofey Grechkin, Rongkai Guo, Jukka Hakkinen, D. Harvie, Satoshi Hashiguchi, I. Heldal, K. Hirota, Andrew Irlitti, Yuta Itoh, Sujin Jang, J. Jerald, Hans H. Kaufmann, Ji-Sun Kim, K. Kiyokawa, B. Knoerlein, Naoya Koizumi, Fedor Korsakov, T. Kuhlen, Arun K. Kulshreshth, W. Lages, Marc Erich Latoschik, J. Lima, Yue Liu, Benjamin C. Lok, W. Lu, Zhihan Lu, Paul Lubos Anderson Maciel, Damien Marchal, M. Marner, Daniel Medeiros, Kenneth R. Moser, Christos Mousas, N. Munekata, Mahdi Nabiyouni, Naohisa Nagaya, Atsushi Nakazawa, Hideaki Nii, N. C. Nilsson, Jean-Marie Normand, B. Nuernberger, Ohan Oda, Victor Adriel de Jesus Olive","doi":"10.1109/controlo.2018.8514175","DOIUrl":"https://doi.org/10.1109/controlo.2018.8514175","url":null,"abstract":"","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"23 1 1","pages":"xxi-xxiii"},"PeriodicalIF":5.2,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41712218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introducing the IEEE Virtual Reality 2018 Special Issue","authors":"L. Floriani, D. Schmalstieg","doi":"10.1109/TVCG.2018.2805123","DOIUrl":"https://doi.org/10.1109/TVCG.2018.2805123","url":null,"abstract":"This special issue of IEEE Transactions on Visualization and Computer Graphics (TVCG) contains the 29 full papers selected for the IEEE Virtual Reality and 3D User Interfaces (IEEE VR 2018) Conference held in Reutlingen, Germany, March 18-22, 2017. Since its inception in 1993, IEEE VR has been the premier venue to present new research results in the field of Virtual Reality (VR). The strong current trends toward VR systems for consumer audiences heightens the importance of this event. This fact is reflected in the cooperation between TVCG and IEEE VR, which is in its seventh year and is one cornerstone of the strategy of TVCG to combine computer graphics and data visualization in its scope with virtual and augmented reality. The special issue format combines speed of publication with all the established advantages of an archival journal. To that end, a rigorous and competitive two-round review process was performed to ensure the highest quality.","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"24 1","pages":"v"},"PeriodicalIF":5.2,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TVCG.2018.2805123","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62600428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Message from the Editor-in-Chief","authors":"L. De Floriani","doi":"10.1111/1755-6724.13488","DOIUrl":"https://doi.org/10.1111/1755-6724.13488","url":null,"abstract":"It is a great pleasure for me to introduce the April 2016 issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG). This special issue contains 17 papers, selected from a total of 135 submissions, presented at the IEEE Virtual Reality (VR) Conference in Greenville, South Carolina (USA), from the 19th to the 23rd of March 2016. These papers were recommended for acceptance by the program committee of IEEE VR 2016, after having undergone a rigorous and competitive two-round review process. The cooperation between TVCG and IEEE VR started in 2012 and has been steadily growing over the years, marking a new emphasis of TVCG towards research in virtual and augmented reality. This special hybrid publication model enables timely dissemination of many high-quality research results from the world's premier virtual reality conference to TVCG readership, while improving the overall visibility and quality of IEEE VR publications through a rigorous journal-style review. Moreover, the authors of some TVCG regular papers were invited to give an oral presentation of their recent work at IEEE VR, thus providing a unique opportunity for the VR audience to keep abreast of high-quality VR research featured in regular issues of TVCG, and encouraging more TVCG authors to attend IEEE VR. This closely coupled relationship between TVCG and IEEE VR should lead to a more timely exchange of new ideas, to a rapid dissemination of virtual reality research via an integrated forum for both publications and presentations , and to further expanding our community. Many individuals have committed their time and effort to this TVCG issue, and I would like to thank all of them for their excellent work. Special thanks are due to the guest editors of this journal issue and IEEE VR 2016 Program Cochairs, Tobias Höllerer, Victoria Interrante, Anatole Lécuyer and Evan Suma, who tirelessly led the two-round review process with tight deadlines to deliver this issue. The program committee of IEEE VR also played a critical role by participating in a second round of reviews for papers that were accepted with minor revision. I would like to express my deep gratitude to TVCG AEIC, Dieter Schmalstieg, for his fundamental help and continuous support in managing this special issue. I would like to recognize the outstanding efforts that went into the timely production of this issue by the IEEE and IEEE Computer Society staff, especially and Zach Wartell for their great support throughout. …","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"24 1","pages":"x-x"},"PeriodicalIF":5.2,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/1755-6724.13488","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45492620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Interactive Visualization Gap in Initial Exploratory Data Analysis.","authors":"Andrea Batch,&nbsp;Niklas Elmqvist","doi":"10.1109/TVCG.2017.2743990","DOIUrl":"https://doi.org/10.1109/TVCG.2017.2743990","url":null,"abstract":"<p><p>Data scientists and other analytic professionals often use interactive visualization in the dissemination phase at the end of a workflow during which findings are communicated to a wider audience. Visualization scientists, however, hold that interactive representation of data can also be used during exploratory analysis itself. Since the use of interactive visualization is optional rather than mandatory, this leaves a \"visualization gap\" during initial exploratory analysis that is the onus of visualization researchers to fill. In this paper, we explore areas where visualization would be beneficial in applied research by conducting a design study using a novel variation on contextual inquiry conducted with professional data analysts. Based on these interviews and experiments, we propose a set of interactive initial exploratory visualization guidelines which we believe will promote adoption by this type of user.</p>","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"24 1","pages":"278-287"},"PeriodicalIF":5.2,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TVCG.2017.2743990","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35373489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LDSScanner: Exploratory Analysis of Low-Dimensional Structures in High-Dimensional Datasets.","authors":"Jiazhi Xia,&nbsp;Fenjin Ye,&nbsp;Wei Chen,&nbsp;Yusi Wang,&nbsp;Weifeng Chen,&nbsp;Yuxin Ma,&nbsp;Anthony K H Tung","doi":"10.1109/TVCG.2017.2744098","DOIUrl":"https://doi.org/10.1109/TVCG.2017.2744098","url":null,"abstract":"<p><p>Many approaches for analyzing a high-dimensional dataset assume that the dataset contains specific structures, e.g., clusters in linear subspaces or non-linear manifolds. This yields a trial-and-error process to verify the appropriate model and parameters. This paper contributes an exploratory interface that supports visual identification of low-dimensional structures in a high-dimensional dataset, and facilitates the optimized selection of data models and configurations. Our key idea is to abstract a set of global and local feature descriptors from the neighborhood graph-based representation of the latent low-dimensional structure, such as pairwise geodesic distance (GD) among points and pairwise local tangent space divergence (LTSD) among pointwise local tangent spaces (LTS). We propose a new LTSD-GD view, which is constructed by mapping LTSD and GD to the axis and axis using 1D multidimensional scaling, respectively. Unlike traditional dimensionality reduction methods that preserve various kinds of distances among points, the LTSD-GD view presents the distribution of pointwise LTS ( axis) and the variation of LTS in structures (the combination of axis and axis). We design and implement a suite of visual tools for navigating and reasoning about intrinsic structures of a high-dimensional dataset. Three case studies verify the effectiveness of our approach.</p>","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"24 1","pages":"236-245"},"PeriodicalIF":5.2,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TVCG.2017.2744098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35467382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study.","authors":"Jurgen Bernard,&nbsp;Marco Hutter,&nbsp;Matthias Zeppelzauer,&nbsp;Dieter Fellner,&nbsp;Michael Sedlmair","doi":"10.1109/TVCG.2017.2744818","DOIUrl":"https://doi.org/10.1109/TVCG.2017.2744818","url":null,"abstract":"<p><p>Labeling data instances is an important task in machine learning and visual analytics. Both fields provide a broad set of labeling strategies, whereby machine learning (and in particular active learning) follows a rather model-centered approach and visual analytics employs rather user-centered approaches (visual-interactive labeling). Both approaches have individual strengths and weaknesses. In this work, we conduct an experiment with three parts to assess and compare the performance of these different labeling strategies. In our study, we (1) identify different visual labeling strategies for user-centered labeling, (2) investigate strengths and weaknesses of labeling strategies for different labeling tasks and task complexities, and (3) shed light on the effect of using different visual encodings to guide the visual-interactive labeling process. We further compare labeling of single versus multiple instances at a time, and quantify the impact on efficiency. We systematically compare the performance of visual interactive labeling with that of active learning. Our main findings are that visual-interactive labeling can outperform active learning, given the condition that dimension reduction separates well the class distributions. Moreover, using dimension reduction in combination with additional visual encodings that expose the internal state of the learning model turns out to improve the performance of visual-interactive labeling.</p>","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"24 1","pages":"298-308"},"PeriodicalIF":5.2,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TVCG.2017.2744818","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35468584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying Pragmatics Principles for Interaction with Visual Analytics.","authors":"Enamul Hoque,&nbsp;Vidya Setlur,&nbsp;Melanie Tory,&nbsp;Isaac Dykeman","doi":"10.1109/TVCG.2017.2744684","DOIUrl":"https://doi.org/10.1109/TVCG.2017.2744684","url":null,"abstract":"<p><p>Interactive visual data analysis is most productive when users can focus on answering the questions they have about their data, rather than focusing on how to operate the interface to the analysis tool. One viable approach to engaging users in interactive conversations with their data is a natural language interface to visualizations. These interfaces have the potential to be both more expressive and more accessible than other interaction paradigms. We explore how principles from language pragmatics can be applied to the flow of visual analytical conversations, using natural language as an input modality. We evaluate the effectiveness of pragmatics support in our system Evizeon, and present design considerations for conversation interfaces to visual analytics tools.</p>","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"24 1","pages":"309-318"},"PeriodicalIF":5.2,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TVCG.2017.2744684","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35320664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}