Pub Date : 2019-05-01DOI: 10.1109/tvcg.2019.2902969
{"title":"Table of Contents","authors":"","doi":"10.1109/tvcg.2019.2902969","DOIUrl":"https://doi.org/10.1109/tvcg.2019.2902969","url":null,"abstract":"","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/tvcg.2019.2902969","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48522039","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}
Pub Date : 2019-05-01Epub Date: 2019-02-15DOI: 10.1109/TVCG.2019.2899186
Tae Min Lee, Jong-Chul Yoon, In-Kwon Lee
In this paper, we propose a three-dimensional (3D) convolutional neural network (CNN)-based method for predicting the degree of motion sickness induced by a 360° stereoscopic video. We consider the user's eye movement as a new feature, in addition to the motion velocity and depth features of a video used in previous work. For this purpose, we use saliency, optical flow, and disparity maps of an input video, which represent eye movement, velocity, and depth, respectively, as the input of the 3D CNN. To train our machine-learning model, we extend the dataset established in the previous work using two data augmentation techniques: frame shifting and pixel shifting. Consequently, our model can predict the degree of motion sickness more precisely than the previous method, and the results have a more similar correlation to the distribution of ground-truth sickness.
{"title":"Motion Sickness Prediction in Stereoscopic Videos using 3D Convolutional Neural Networks.","authors":"Tae Min Lee, Jong-Chul Yoon, In-Kwon Lee","doi":"10.1109/TVCG.2019.2899186","DOIUrl":"https://doi.org/10.1109/TVCG.2019.2899186","url":null,"abstract":"<p><p>In this paper, we propose a three-dimensional (3D) convolutional neural network (CNN)-based method for predicting the degree of motion sickness induced by a 360° stereoscopic video. We consider the user's eye movement as a new feature, in addition to the motion velocity and depth features of a video used in previous work. For this purpose, we use saliency, optical flow, and disparity maps of an input video, which represent eye movement, velocity, and depth, respectively, as the input of the 3D CNN. To train our machine-learning model, we extend the dataset established in the previous work using two data augmentation techniques: frame shifting and pixel shifting. Consequently, our model can predict the degree of motion sickness more precisely than the previous method, and the results have a more similar correlation to the distribution of ground-truth sickness.</p>","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"25 5","pages":"1919-1927"},"PeriodicalIF":5.2,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TVCG.2019.2899186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37150910","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}
Pub Date : 2019-02-01Epub Date: 2018-01-25DOI: 10.1007/978-3-662-45803-7_8
Yifan Hu, Lei Shi, Qingsong Liu
Drawings of non-planar graphs always result in edge crossings. When there are many edges crossing at small angles, it is often difficult to follow these edges, because of the multiple visual paths resulted from the crossings that slow down eye movements. In this paper we propose an algorithm that disambiguates the edges with automatic selection of distinctive colors. Our proposed algorithm computes a near optimal color assignment of a dual collision graph, using a novel branch-and-bound procedure applied to a space decomposition of the color gamut. We give examples demonstrating this approach in real world graphs and maps, as well as a user study to establish its effectiveness and limitations.
{"title":"A Coloring Algorithm for Disambiguating Graph and Map Drawings.","authors":"Yifan Hu, Lei Shi, Qingsong Liu","doi":"10.1007/978-3-662-45803-7_8","DOIUrl":"https://doi.org/10.1007/978-3-662-45803-7_8","url":null,"abstract":"<p><p>Drawings of non-planar graphs always result in edge crossings. When there are many edges crossing at small angles, it is often difficult to follow these edges, because of the multiple visual paths resulted from the crossings that slow down eye movements. In this paper we propose an algorithm that disambiguates the edges with automatic selection of distinctive colors. Our proposed algorithm computes a near optimal color assignment of a dual collision graph, using a novel branch-and-bound procedure applied to a space decomposition of the color gamut. We give examples demonstrating this approach in real world graphs and maps, as well as a user study to establish its effectiveness and limitations.</p>","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"25 2","pages":"1321-1335"},"PeriodicalIF":5.2,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36301634","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}
Pub Date : 2019-01-01DOI: 10.1109/scivis.2015.7429479
H. Theisel, Petra Specht, H. Hege, B. Preim, G. Scheuermann, Remco Chang, Huamin Qu, T. Schreck, Tim Dwyer, S. Franconeri, Petra Isenberg, I. Fujishiro, Gunther H. Weber, D. Weiskopf, Wenwen Dou, T. V. Landesberger, M. Meyer, N. Riche, Jian Chen, A. Endert, Chaoli Wang, N. Andrienko, Peter Lindstrom, Berk Geveci, L. G. Nonato, T. Nagel, Jordan Crouser, G. Grinstein, M. Whiting, J. Patchett, T. Wischgoll, Torsten Möller, D. Staheli, C. Turkay, Daniela Oelke, M. Brehmer, B. Hentschel, Fanny Chevalier, T. Ropinski, K. Vrotsou, Z. Liu, Ayan Biswas, Aashish Chaudhary, Weiwei Cui, J. Woodring, Tim Gerrits, T. Luciani, John E. Wenskovitch, Virginia Tech, Fumeng Yang, M. Behrisch, D. Archambault, Katie Osterdahl, M. Borkin, K. Gaither, Lisa Avila, S. Miksch, Melanie Tory
Papers Chairs Remco Chang Tufts University (VAST) Huamin Qu Hong Kong University of Science and Technology (VAST) Tobias Schreck Graz University of Technology (VAST) Tim Dwyer Monash University (InfoVis) Steve Franconeri Northwestern University (InfoVis) Petra Isenberg Inria (InfoVis) Issei Fujishiro Keio University (SciVis) Gunther Weber Lawrence Berkeley National Laboratory (SciVis) Daniel Weiskopf University of Stuttgart (SciVis)
论文主席Remco Chang塔夫茨大学(VAST)屈华民香港科技大学(VAST) Tobias Schreck Graz科技大学(VAST) Tim Dwyer莫纳什大学(InfoVis) Steve Franconeri西北大学(InfoVis) Petra Isenberg Inria (InfoVis) Issei Fujishiro庆应大学(SciVis) Gunther Weber Lawrence Berkeley国家实验室(SciVis) Daniel Weiskopf斯图加特大学(SciVis)
{"title":"VIS Conference Committee","authors":"H. Theisel, Petra Specht, H. Hege, B. Preim, G. Scheuermann, Remco Chang, Huamin Qu, T. Schreck, Tim Dwyer, S. Franconeri, Petra Isenberg, I. Fujishiro, Gunther H. Weber, D. Weiskopf, Wenwen Dou, T. V. Landesberger, M. Meyer, N. Riche, Jian Chen, A. Endert, Chaoli Wang, N. Andrienko, Peter Lindstrom, Berk Geveci, L. G. Nonato, T. Nagel, Jordan Crouser, G. Grinstein, M. Whiting, J. Patchett, T. Wischgoll, Torsten Möller, D. Staheli, C. Turkay, Daniela Oelke, M. Brehmer, B. Hentschel, Fanny Chevalier, T. Ropinski, K. Vrotsou, Z. Liu, Ayan Biswas, Aashish Chaudhary, Weiwei Cui, J. Woodring, Tim Gerrits, T. Luciani, John E. Wenskovitch, Virginia Tech, Fumeng Yang, M. Behrisch, D. Archambault, Katie Osterdahl, M. Borkin, K. Gaither, Lisa Avila, S. Miksch, Melanie Tory","doi":"10.1109/scivis.2015.7429479","DOIUrl":"https://doi.org/10.1109/scivis.2015.7429479","url":null,"abstract":"Papers Chairs Remco Chang Tufts University (VAST) Huamin Qu Hong Kong University of Science and Technology (VAST) Tobias Schreck Graz University of Technology (VAST) Tim Dwyer Monash University (InfoVis) Steve Franconeri Northwestern University (InfoVis) Petra Isenberg Inria (InfoVis) Issei Fujishiro Keio University (SciVis) Gunther Weber Lawrence Berkeley National Laboratory (SciVis) Daniel Weiskopf University of Stuttgart (SciVis)","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/scivis.2015.7429479","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47595940","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}
Pub Date : 2018-10-23DOI: 10.1109/TVCG.2019.2944619
Jonathan X. Zheng, S. Pawar, Dan F. M. Goodman
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.
{"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}
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.
{"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}
Pub Date : 2018-08-01DOI: 10.1109/tvcg.2018.2835878
L. De Floriani
{"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}
Pub Date : 2018-06-01DOI: 10.1109/controlo.2018.8514175
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
{"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}
Pub Date : 2018-04-01DOI: 10.1109/TVCG.2018.2805123
L. Floriani, D. Schmalstieg
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.
{"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}
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. …
{"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}
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