CALL FOR PARTICIPATION: SciVis Papers

IEEE VIS 2013 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. Please carefully read the submission guidelines below, especially pertaining to submission venue, the length of manuscripts and optional author anonymity.

IMPORTANT DATES

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.

SUBMISSION

All three conferences appearing at IEEE VIS 2013 (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.

TOPICS

The IEEE Scientific Visualization conference is primarily soliciting papers on all topics in visualization research. Please do note, that topics primarily involving non-spatial data (such as abstract information spaces, tree, network, and textual data) might be a better match for the IEEE InfoVis Conference at IEEE VIS. Suggested topics for papers include, but are not limited to:

General Data Visualization

• scalar, vector and tensor fields
• rregular and unstructured grids
• point-based data
• temporal data
• volume modeling

Visualization Techniques and Approaches

• extraction of surfaces
• volume rendering
• topology-based and geometry-based techniques
• PDEs for visualization

Foundations

• collaborative and distributed visualization
• design studies
• mathematical theories for visualization
• scalability issues
• uncertainty visualization
• view-dependent visualization
• information theoretic
• machine-learning approaches

Interaction Techniques

• user interfaces
• interaction design
• coordinated and multiple views
• data editing for validation
• manipulation and deformation

Display and Interaction Technology

• large and high-res displays
• stereo displays
• immersive and virtual environments
• multimodal input devices
• haptics for visualization

Evaluation

• user-centric (usability studies + task analysis)
• design studies
• numerical (error metrics and benchmarks)
• validation and verification

Perception & Cognition

• perception theory
• color texture, scene, motion perception
• perceptual cognition

Hardware for Visualization

• hardware acceleration
• GPUs and multi-core architectures
• CPU and GPU clusters
• distributed systems, grid and cloud  environments
• volume graphics hardware

Large Data Visualization

• time-varying data
• multidimensional multi-field, multi-modal, and multi-variate data
• streaming data
• multi-resolution
• compression
• petascale visualization
• applications - flow, biomedical

Systems and Approaches

• visual design, visualization system and toolkit design
• glyph-based techniques
• illustrative visualization
• mobile and ubiquitous visualization
• integrating spatial and non-spatial data visualization
• data warehousing, database visualization and data mining

Visualization in Science and Engineering

• visualization in mathematics
• physical sciences and engineering
• earth, space, and environmental sciences
• flow visualization
• terrain visualization
• geographic/geospatial visualization
• molecular, biomedical and medical visualization
• bioinformatics visualization
• software visualization

Visualization in Social Sciences and Commerce

• business and finance visualization
• social and information sciences
• education, in the humanities, for the masses
• multimedia (image/video/music) visualization

CHAIRS

David Laidlaw, Brown University
Han-Wei Shen, The Ohio State University
Anders Ynnerman, Linköping University

Email: scivis_papers(at)ieeevis.org.