CALL FOR PARTICIPATION: SciVis Papers

IEEE VIS 2015 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. 

IEEE SciViS 2015 will feature for the first time an expanded set of accepted papers in two categories:

• TVCG Track
  Papers that exhibit the highest quality in terms of originality, rigor and significance will appear in a special issue (Jan. 2016) of the IEEE Transactions on Visualization and Computer Graphics (TVCG). This special issue will be published online the first day of the conference. The acceptance rate is anticipated to be similar to that of 2013 and 2014 subject to the decisions resulting from the review process. After initial notification of review results, conditionally accepted papers (including supplemental material) will undergo a revision and review cycle in order to ensure that they are acceptable for publication and presentation in the journal. The paper and supplemental material will also be published in the IEEE Digital Library.
• Conference-only Track
  Innovative SciViS submissions with a focus beyond the scope of the IEEE TVCG journal may be accepted as conference only papers. Those papers, which feature high quality new contributions, will be offered an opportunity to be presented as Conference Papers during IEEE SciViS, and will be included on the IEEE VIS 2015 USB and published online. After initial notification of review results, conditionally accepted papers (including supplemental material) will undergo a revision and approval cycle. The paper and supplemental material will also be published in the IEEE Digital Library subject to its standard terms and conditions.

From its outset, IEEE SciViS has always given great emphasis to applications of scientific visualization. While SciViS 2015 seeks submissions in all areas of scientific visualization, it particularly welcomes papers that make advances towards understanding or solving real world problems, or that impact a particular application in a significant way. A strong application paper, for which technical novelty is not essential, typically features one of the following qualities, namely: high or broad impact, novel application, innovative technical adaptation or integration, or insightful experience or evaluation. Application papers will be given special consideration to be included as conference only papers.

IMPORTANT DATES

All deadlines are at 5:00pm Pacific Time (PDT).

SUBMISSION

All three conferences appearing at IEEE VIS 2015 (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 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:

• Visualization, rendering, and manipulation of spatial data
  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.

• Interaction techniques and devices
  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.

• 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.

• Display technologies
  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.

• Foundations
  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.

• Evaluation
  Usability studies and task analysis, design and user studies, validation and verification visualization, statistical techniques, crowd-sourcing, human computation.

• Visual computing systems and methodologies
  System and toolkit design, glyph-based techniques, illustrative visualization, integrating spatial and non-spatial data visualization, applications of visual analytics approaches, computational steering.

• Visual computing applications
  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).

• Visual computing for emerging applications
  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.

CHAIRS

James Ahrens, Los Alamos National Laboratory
Huamin Qu, Hong Kong University of Science and Technology
Jos Roerdink, University of Groningen

Email: scivis_papers(at)ieeevis.org