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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><h1 style='mso-margin-top-alt:.25in;margin-right:0in;margin-bottom:13.0pt;margin-left:0in'><span style='font-size:10.0pt;color:#1F497D;font-weight:normal'>(Apologies for resending this CFPs. It is just a reminder that the submission deadline is fast approaching.) <o:p></o:p></span></h1><h1 style='mso-margin-top-alt:.25in;margin-right:0in;margin-bottom:13.0pt;margin-left:0in'><span style='font-size:10.0pt;font-weight:normal'>CALL FOR PAPERS<o:p></o:p></span></h1><h1 style='mso-margin-top-alt:.25in;margin-right:0in;margin-bottom:13.0pt;margin-left:0in'><span style='font-size:12.0pt'>Bi</span><span style='font-size:12.0pt;color:#1F497D'>g</span><span style='font-size:12.0pt'> Data Visualization<o:p></o:p></span></h1><h1 style='mso-margin-top-alt:.25in;margin-right:0in;margin-bottom:13.0pt;margin-left:0in'><span style='font-size:10.0pt'>IEEE Computer Graphics and Applications’ July/August 2013 issue<o:p></o:p></span></h1><h1 style='mso-margin-top-alt:.25in;margin-right:0in;margin-bottom:13.0pt;margin-left:0in'><span style='font-size:10.0pt'>Submissions due: 30 November 2012<o:p></o:p></span></h1><p class=MsoNormal style='margin-bottom:12.0pt'><span style='font-size:10.0pt;font-family:"Times New Roman","serif"'><a href="http://www.computer.org/portal/web/computingnow/cgacfp4" target="_blank"><span style='color:#1155CC;background:white'>http://www.computer.org/portal/web/computingnow/cgacfp4</span></a><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:12.0pt;line-height:16.8pt;background:white;vertical-align:top'><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>We've entered a data-driven era, in which data are continuously acquired for a variety of purposes. The ability to make timely decisions based on available data is crucial to business success, clinical treatments, cyber and national security, and disaster management. Additionally, the data generated from large-scale simulations, astronomical observatories, high-throughput experiments, or high-resolution sensors will help lead to new discoveries if scientists have adequate tools to extract knowledge from them. However, most data have become simply too large and often have too short a lifespan. Almost all fields of study and practice sooner or later will confront this big data problem. Government agencies and large corporations are launching research programs to address the challenges presented by big data. Visualization has been shown to be an effective tool not only for presenting essential information in vast amounts of data but also for driving complex analyses. Big data analytics and discovery present new research opportunities to the computer graphics and visualization community.<br><br>This theme issue of <i>IEEE Computer Graphics and Applications</i> aims to highlight the latest advancements in solving the big data problems via visual means. We solicit submissions on new techniques, systems, or tools for making sense of big data, and we're also interested in works demonstrating the value of big data when proper visualization and analytic methods/systems are employed. The topics of interest include (but are not limited to) the following:<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.25in;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:white;vertical-align:top'><![if !supportLists]><span lang=EN style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>information visualization for big data;<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.25in;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:white;vertical-align:top'><![if !supportLists]><span lang=EN style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>parallel visualization algorithms;<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.25in;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:white;vertical-align:top'><![if !supportLists]><span lang=EN style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>scalable visual analytics techniques;<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.25in;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:white;vertical-align:top'><![if !supportLists]><span lang=EN style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>novel visual analytics processes for big data;<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.25in;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:white;vertical-align:top'><![if !supportLists]><span lang=EN style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>integrated data reduction and visualization methods;<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.25in;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:white;vertical-align:top'><![if !supportLists]><span lang=EN style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>visual-based feature extraction and tracking algorithms;<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.25in;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:white;vertical-align:top'><![if !supportLists]><span lang=EN style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>visual analytics based on geometric/topological modeling;<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.25in;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:white;vertical-align:top'><![if !supportLists]><span lang=EN style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>augmented visual analysis of big data;<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.25in;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:white;vertical-align:top'><![if !supportLists]><span lang=EN style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>in situ data processing and visualization; and<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:.25in;text-indent:-.25in;line-height:16.8pt;mso-list:l0 level1 lfo2;background:white;vertical-align:top'><![if !supportLists]><span lang=EN style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>visualization and visual analytics for scientific supercomputing, experimental sciences, cyber intelligence and national security, business strategies and services, environmental monitoring and emergency management, astronomical/airborne/surveillance imagery, healthcare, and transportation study.<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:3.0pt;margin-left:0in;line-height:18.0pt;background:white;vertical-align:top'><b><span lang=EN style='font-size:16.0pt;font-family:"Times New Roman","serif"'>Questions?<o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:12.0pt;line-height:16.8pt;background:white;vertical-align:top'><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>Contact Guest Editors<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:12.0pt;line-height:16.8pt;background:white;vertical-align:top'><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>Daniel Keim, University of Konstanz, Germany (<a href="mailto:keim@uni-konstanz.de"><b><span style='color:#014E86;text-decoration:none'>keim@uni-konstanz.de</span></b></a>)<br>Kwan-Liu Ma, University of California-Davis, U.S.A. (<a href="mailto:ma@cs.ucdavis.edu"><b><span style='color:#014E86;text-decoration:none'>ma@cs.ucdavis.edu</span></b></a>)<br>Huamin Qu, Hong Kong University of Science and Technology, Hong Kong (<a href="mailto:huamin@cse.ust.hk"><b><span style='color:#014E86;text-decoration:none'>huamin@cse.ust.hk</span></b></a>)<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:3.0pt;margin-left:0in;line-height:18.0pt;background:white;vertical-align:top'><b><span lang=EN style='font-size:16.0pt;font-family:"Times New Roman","serif"'>Submission Guidelines<o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:12.0pt;line-height:16.8pt;background:white;vertical-align:top'><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>Articles should be no more than 8,000 words, with each figure counting as 200 words. Cite only the 12 most relevant references, and consider providing technical background in sidebars for nonexpert readers. Color images are preferable and should be limited to 10. Visit <i>CG&A</i> style and length guidelines at <a href="http://www.computer.org/../../../cga/author.htm"><b><span style='color:#014E86;text-decoration:none'>www.computer.org/cga/author.htm</span></b></a>.<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:12.0pt;line-height:16.8pt;background:white;vertical-align:top'><span lang=EN style='font-size:10.0pt;font-family:"Times New Roman","serif"'>Please submit your article using the online manuscript submission service at <a href="https://mc.manuscriptcentral.com/cs-ieee" target="_blank"><b><span style='color:#014E86;text-decoration:none'>https://mc.manuscriptcentral.com/cs-ieee</span></b></a>. When uploading your article, select the appropriate special-issue title under the category "Manuscript Type." Also include complete contact information for all authors. If you have any questions about submitting your article, contact the peer review coordinator at <a href="mailto:cga-ma@computer.org">cga-ma@computer.org</a>.<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>