CALL FOR PARTICIPATION: SciVis Papers
IEEE VIS 2014 is the premier forum for advances in visualization for academia, government, and industry. This event brings together researchers and practitioners with a shared interest in visualization techniques, tools, and technology. The IEEE Scientific Visualization (SciVis) Conference solicits novel research ideas and innovative applications in all areas of visualization.
|Abstract submission (MANDATORY)||Friday, March 21, 2014|
|Paper submission||Monday, March 31, 2014|
|Notification of results of first review cycle||Friday, June 6, 2014|
|Paper submission for second review cycle||Firday, June 27, 2014|
|Final notification||Friday, July 11, 2014|
|Camera ready copy||Friday, August 1, 2014|
All deadlines are at 5:00pm Pacific Time (PDT).
JOURNAL PUBLICATION AND DATE OF PUBLICATION
Papers accepted to IEEE VAST, IEEE InfoVis, and IEEE SciVis will appear in a special issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG). This special issue will be published online the first day of the conference. Papers (including supplemental material) will undergo a revision and review cycle after initial notification of review results in order to ensure that they are acceptable for publication and presentation in the journal. The paper and supplemental material will also appear in the IEEE Digital Library.
All three conferences appearing at IEEE VIS 2014 (VAST, InfoVis, and SciVis) use the Precision Conference System (PCS) to handle their submission and reviewing process. PCS is available at https://precisionconference.com/~vgtc/. When submitting your manuscript please make sure that you submit it to your intended conference by clicking the appropriate conference header in the conference system landing page. If you are unsure which venue you should submit to, you can use the call for papers on this website, as well as last year's published proceedings as a guideline.
DETAILED SUBMISSION GUIDELINES
When preparing your submission, please make sure that you carefully read and adhere to the submission guidelines.
The IEEE Scientific Visualization conference is soliciting papers on all topics in visualization and visual computing research. Besides the traditional scientific visualization research areas, we encourage submissions from related areas such as visual computing, machine learning, data analytics, data sciences etc. that will broaden the foundation of scientific visualization. We also welcome papers that showcase novel use of scientific visualization across the full range of application domains.
Suggested topics for papers include, but are not limited to:
Scalar, vector and tensor fields, flow fields, regular and unstructured grids, point-based data, temporal data, volumetric data, topology-based and geometry-based techniques, PDEs, time-varying data, multidimensional multi-field, multi-modal, and multivariate data, streaming data, multi-resolution, compression.
User interfaces, interaction design, coordinated and multiple views, data editing for validation, manipulation and deformation, multimodal input devices, haptics for visualization, mobile and ubiquitous visualization, visual interaction for data science and eScience.
Large-scale computing, storage and data analytics, distributed, cluster, and grid computing, scalable data management on and off the cloud, high-performance computing on multi-core, GPUs, FPGA, and embedded devices, information extraction and knowledge discovery from big data, petascale visualization, application of computer vision techniques, statistical modeling, data mining, visual steering for data retrieval.
Large and high-res displays, giga-pixel displays, wrist-displays, stereo displays, immersive and virtual environments, mixed and augmented visualization, projector-camera systems, perception and cognition coupled displays.
Collaborative and distributed visualization, visual design and design studies, mathematical theories for visualization, scalability issues, uncertainty visualization, view-dependent visualization, information theoretic approaches, machine-learning, perception theory, color, texture, scene and motion perception, knowledge-assisted visualization.
Usability studies and task analysis, design and user studies, validation and verification visualization, statistical techniques, crowd-sourcing, human computation.
System and toolkit design, glyph-based techniques, illustrative visualization, integrating spatial and non-spatial data visualization, applications of visual analytics approaches, computational steering.
Mathematics, physical sciences and engineering, earth, space, and environmental sciences, flow fields, terrain visualization, geographic/geospatial visualization, molecular, biomedical and medical visualization, bioinformatics visualization, software visualization, business and finance visualization, social and information sciences, education, humanities, for the masses, multimedia (image/video/music).
Nano-assembly, live cell imaging, imaging genetics, micro-biology, robotics, sensor networks, cybersecurity, and others.
Please do note that topics primarily involving non-scientiific data sets dealing with abstract information spaces might be a better match for the IEEE VAST or InfoVis Conferences at IEEE VIS.
Huamin Qu, Hong Kong University of Science and Technology
Han-Wei Shen, The Ohio State University
Anders Ynnerman, Linköping University