{"title":"Reviewers for Application Papers","authors":"","doi":"10.1109/VISUAL.2004.92","DOIUrl":"https://doi.org/10.1109/VISUAL.2004.92","url":null,"abstract":"","PeriodicalId":192584,"journal":{"name":"Proceedings of the conference on Visualization '04","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117229120","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}
T. Rhyne, W. Hibbard, Chris R. Johnson, Chaomei Chen, Steve Eick
{"title":"Panel 1: Can We Determine the Top Unresolved Problems of Visualization?","authors":"T. Rhyne, W. Hibbard, Chris R. Johnson, Chaomei Chen, Steve Eick","doi":"10.1109/VISUAL.2004.76","DOIUrl":"https://doi.org/10.1109/VISUAL.2004.76","url":null,"abstract":"Many of us working in visualization have our own list of our top 5 or 10 unresolved problems in visualization. We have assembled a group of panelists to debate and perhaps reach concensus on the top problems in visualization that still need to be explored. We include panelists from both the information and scientific visualization domains. After our presentations, we encourage interaction with the audience to see if we can further formulate and perhaps finalize our list of top unresolved problems in visualization.","PeriodicalId":192584,"journal":{"name":"Proceedings of the conference on Visualization '04","volume":"85 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123282865","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}
R. Van, A. R. Wilks, A. J. Heng, A. Kaplan, Wilson
{"title":"IEEE Visualization Cumulative Bibiography (1990 - 2004)","authors":"R. Van, A. R. Wilks, A. J. Heng, A. Kaplan, Wilson","doi":"10.1109/VISUAL.2004.45","DOIUrl":"https://doi.org/10.1109/VISUAL.2004.45","url":null,"abstract":"","PeriodicalId":192584,"journal":{"name":"Proceedings of the conference on Visualization '04","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124032467","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}
{"title":"Program Committee","authors":"D. Phan","doi":"10.1109/visual.2004.84","DOIUrl":"https://doi.org/10.1109/visual.2004.84","url":null,"abstract":"Many very large SAT problems can be more naturally expressed by quantification over variables, or “lifting”. We explore implementation, heuristic and modelling issues in the use of local search on lifted SAT models. Firstly, adapting existing local search algorithms to lifted models creates overheads that limit the practicality of lifting, and we design a new form of dynamic local search for lifted models. Secondly, finding a violated clause in a lifted model is an NP-complete problem called “subsearch”, and we show that subsearch benefits from advanced constraint techniques. Thirdly, lifting provides the opportunity for using SAT models that would normally be ignored because of their poor space complexities, and we use alternative SAT-encodings of a constraint problem to show that such lifted models can give superior results.","PeriodicalId":192584,"journal":{"name":"Proceedings of the conference on Visualization '04","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128896301","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}
Jon D. Genetti, M. Bailey, D. Laidlaw, R. Moorhead, R. Whitaker
{"title":"Panel 4: What Should We Teach in a Scientific Visualization Class?","authors":"Jon D. Genetti, M. Bailey, D. Laidlaw, R. Moorhead, R. Whitaker","doi":"10.1109/VISUAL.2004.79","DOIUrl":"https://doi.org/10.1109/VISUAL.2004.79","url":null,"abstract":"Scientific Visualization (SciVis) has evolved past the point where one undergraduate course can cover all of the necessary topics. So the question becomes \"how do we teach SciVis to this generation of students?\" Some examples of current courses are: A graduate Computer Science (CS) course that prepares the next generation of SciVis researchers. An undergraduate CS course that prepares the future software architects/developers of packages such as vtk, vis5D and AVS. A class that teaches students how to do SciVis with existing software packages and how to deal with the lack of interoperability between those packages (via either a CS service course or a supercomputing center training course). An inter-disciplinary course designed to prepare computer scientists to work with the \"real\" scientists (via either a CS or Computational Science course). In this panel, we will discuss these types of courses and the advantages and disadvantages of each. We will also talk about some issues that you have probably encountered at your university: How do we keep the graphics/vis-oriented students from going to industry? How does SciVis fit in with evolving Computational Science programs? Is SciVis destined to be a service course at most universities? How do we deal with the diverse backgrounds of students that need SciVis?","PeriodicalId":192584,"journal":{"name":"Proceedings of the conference on Visualization '04","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134037251","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}
Gerd, Fabio, Patrick, Kevin, Leonard, Allen, Michael Meissner, Benjamin Mora, Patrick Moran, Christopher Morris, Lukas, Wolfgang, Klaus, Luciana, Nedel, N. Neophytou, Erwin Oertli, S. Olabarriaga, M. Olano, Arthur Olson, R. Pajarola, Alex Pang, M. Papka, Park, Pascucci, Giuseppe, Joseph, F. Ponchio, V. Popescu, B. Preim, Christof Rezk Salama, P. Rheingans, T. Rhyne, Kirk Riley, Angel, Rio, Kay, J. Roerdink, M. Rumpf, H. Rushmeier, Filip, Zein Salah, Sainz, G. Sakas, G. Scheuermann, Gregory, Abdelmoty, G. Abram, Maneesh Agrawala, Marco Agus, Daniel G. Aliaga, Pierre, N. Amenta, M. Bailey, Chandrajit, K. Bala, Xiaohong Bao, P. Basser, W. Baxter, Robert, Alexander Belyaev, W. Benger, R. Bergeron, S. Bergner, Martin Bertram, Hang Shen, Claudio Silva, D. Silver, Mike Sips, Philipp, S. Spicer, Salvatore, Jan P. Springer, Šrámek, O. Staadt, Peter Stephenson, James Stewart, Richard, Kalpathi
{"title":"Reviewers for Research Papers","authors":"Gerd, Fabio, Patrick, Kevin, Leonard, Allen, Michael Meissner, Benjamin Mora, Patrick Moran, Christopher Morris, Lukas, Wolfgang, Klaus, Luciana, Nedel, N. Neophytou, Erwin Oertli, S. Olabarriaga, M. Olano, Arthur Olson, R. Pajarola, Alex Pang, M. Papka, Park, Pascucci, Giuseppe, Joseph, F. Ponchio, V. Popescu, B. Preim, Christof Rezk Salama, P. Rheingans, T. Rhyne, Kirk Riley, Angel, Rio, Kay, J. Roerdink, M. Rumpf, H. Rushmeier, Filip, Zein Salah, Sainz, G. Sakas, G. Scheuermann, Gregory, Abdelmoty, G. Abram, Maneesh Agrawala, Marco Agus, Daniel G. Aliaga, Pierre, N. Amenta, M. Bailey, Chandrajit, K. Bala, Xiaohong Bao, P. Basser, W. Baxter, Robert, Alexander Belyaev, W. Benger, R. Bergeron, S. Bergner, Martin Bertram, Hang Shen, Claudio Silva, D. Silver, Mike Sips, Philipp, S. Spicer, Salvatore, Jan P. Springer, Šrámek, O. Staadt, Peter Stephenson, James Stewart, Richard, Kalpathi","doi":"10.1109/visual.2004.93","DOIUrl":"https://doi.org/10.1109/visual.2004.93","url":null,"abstract":"Gerd Fabio Patrick Kevin Leonard Allen Michael Meissner Benjamin Mora Patrick Moran Christopher Morris Lukas Wolfgang Klaus Luciana Nedel Neophytos Neophytou Erwin Oertli Silvia Olabarriaga Marc Olano Arthur Olson Renato Pajarola Alex Pang Michael Papka Park Pascucci Giuseppe Joseph Federico Ponchio Voicu Popescu Bernhard Preim Gerd Christof Rezk Salama Penny Rheingans Theresa-Marie Rhyne Kirk Riley Angel Rio Kay Jos Roerdink Martin Rumpf Holly Rushmeier Filip Zein Salah Sainz Georgios Sakas Gerik Scheuermann Gregory Schmidt Iwo Serlie Michael Shafae John Shalf","PeriodicalId":192584,"journal":{"name":"Proceedings of the conference on Visualization '04","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127878903","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}
{"title":"Panel 2: In the Eye of the Beholder: The Role of Perception in Scientific Visualization","authors":"K. Gaither, D. Ebert, Bill Geisler, D. Laidlaw","doi":"10.1109/VISUAL.2004.77","DOIUrl":"https://doi.org/10.1109/VISUAL.2004.77","url":null,"abstract":"The evolution of computational science over the last decade has resulted in a dramatic increase in raw problem solving capabilities. This growth has given rise to advances in scientific and engineering simulations that have put a high demand on tools for high-performance large-scale data exploration and analysis. These simulations have the potential to generate large amounts of data. Humans, however are relatively poor at gaining insight from raw numerical data, and as a result, have used visualization as a tool for understanding, interpreting and exploring data of all types and sizes. Allowing for efficient visual explorations of data, however, requires that the ratio of knowledge gained versus the cost of the visualization be maximized. This, in turn, mandates the integration of principles from human perception. Understanding perception as it relates to visualization requires that we understand not only the biology of the human visual system, but principles from vision theory, and perceptual psychology as well. This panel is the result of bringing together practioners and researchers from a broad spectrum of interests relating to the ability to maximize the amount of information that is effectively perceived from a given visualization. Position statements will be given by researchers interested in perceptual psychology and the perception of natural images, integrating art and design principles, non-photorealistic rendering techniques, and the use of global illumination methods to provide benefical perceptual cues.","PeriodicalId":192584,"journal":{"name":"Proceedings of the conference on Visualization '04","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117331158","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}
{"title":"Keynote Address: The Human Visual System: How Is Its Design Related to the Physics of the Natural Environment?","authors":"W. Geisler","doi":"10.1109/VISUAL.2004.61","DOIUrl":"https://doi.org/10.1109/VISUAL.2004.61","url":null,"abstract":"Summary form only given. The human visual system is the result of evolution by natural selection and hence its design must incorporate detailed knowledge of the physical properties of the natural environment. This is an obvious statement, but the scientific community has been slow to take it seriously. Only recently has there been an increased effort to directly measure the statistical properties of natural scenes and compare them to the design and performance of the human visual system. This work describes some recent studies of the chromatic and geometrical properties of natural materials and natural images, as well as some perceptual and physiological studies designed to test how those physical properties are related to human perceptual mechanisms.","PeriodicalId":192584,"journal":{"name":"Proceedings of the conference on Visualization '04","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115479580","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}
Greg Johnson, D. Ebert, C. Hansen, David B. Kirk, Bill Mark, Hanspeter Pfister
{"title":"Panel 3: The Future Visualization Platform","authors":"Greg Johnson, D. Ebert, C. Hansen, David B. Kirk, Bill Mark, Hanspeter Pfister","doi":"10.1109/VISUAL.2004.78","DOIUrl":"https://doi.org/10.1109/VISUAL.2004.78","url":null,"abstract":"Advances in graphics hardware and rendering methods are shaping the future of visualization. For example, programmable graphics processors are redefining the traditional visualization cycle. In some cases it is now possible to run the computational simulation and associated visualization side-by-side on the same chip. Moreover, global illumination and non-photorealistic effects promise to deliver imagery which enables greater insight into high resolution, multivariate, and higher-dimensional data. The panelists will offer distinct viewpoints on the direction of future graphics hardware and its potential impact on visualization, and on the nature of advanced visualizationrelated tools and techniques. Presentation of these viewpoints will be followed by audience participation in the form of a question and answer period moderated by the panel organizer.","PeriodicalId":192584,"journal":{"name":"Proceedings of the conference on Visualization '04","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130755452","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}
{"title":"Capstone Address: Self-Illustrating Phenomena","authors":"P. Hanrahan","doi":"10.1109/VISUAL.2004.12","DOIUrl":"https://doi.org/10.1109/VISUAL.2004.12","url":null,"abstract":"Summary form only given. A self-illustrating phenomenon is an image which exposes the science behind it. Some famous examples are pictures of iron filings aligned along magnetic lines of force, sand particles collecting at the stationary points of the standing waves of a violin, stress in a mechanical part revealed through birefringence, and particle tracks in a bubble chamber. Such images brilliantly combine experimental design, analysis, and visualization. Quoting J. Tukey, \"the general purposes of conducting experiments and analyzing data match, point by point\". We argue in this talk that computer tools for visual analysis should normally be conceived of as aids in constructing computational visual experiments; and that the resulting visualizations be consciously designed to help validate or invalidate the hypothesis being tested by the experiment.","PeriodicalId":192584,"journal":{"name":"Proceedings of the conference on Visualization '04","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126542334","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}