2012-08-21: CFP: IEEE PacificVis 2013, February 27 - March 1, Sydney, Australia

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IEEE PacificVis 2013, February 27 - March 1, Sydney, Australia
http://rp-www.cs.usyd.edu.au/~visual/pvis2013/

Call for Papers[edit]

The 6th PacificVis Symposium (Pacific Visualization) will be held in Sydney, Australia from February 27 to March 1, 2013. PacificVis is an IEEE sponsored international visualization symposium held in the Asia-Pacific region, with the objective to foster greater exchange between visualization researchers and practitioners, and to draw more researchers in the Asia-Pacific region to enter this rapidly growing area of research. PacificVis is a unified visualization conference, welcoming all areas of visualization research such as: information, scientific, graph, security, software and bio- visualization. Authors are invited to submit original and unpublished research and practical applications in all areas of visualization. We encourage papers in any new, novel, and exciting research area that pertains to visualization.

Important Dates[edit]

  • Paper submission deadline: September 26, 2012, 11:59pm (PDT)
  • Notification of acceptance: November 21, 2012
  • Camera-ready papers due: December 7, 2012

Program Co-Chairs[edit]

  • Sheelagh Carpendale, University of Calgary
  • Wei Chen, Zhejiang University
  • Seokhee Hong, University of Sydney

Publication[edit]

The papers should be original and not previously published. Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop topics. All accepted papers will be published by IEEE and also included in the IEEE Digital Library. Authors of selected research papers of outstanding quality will be invited to submit an extended version to IEEE Transactions on Visualization and Computer Graphics.

Suggested topics include, but are not limited to[edit]

Visualization application areas such as but not limited to:

  • statistical graphics and mathematics
  • financial, security and business visualization
  • physical sciences and engineering
  • earth, space, and environmental sciences
  • geographic/geospatial/ terrain visualization
  • molecular, biomedical, bioinformatics and medical visualization
  • text, documents and software visualization
  • social, ambient and information sciences
  • education and everyday visualization
  • multimedia (image/video/music) visualization
  • any other non-spatial data or spatial data that is visualized with a new spatial mapping

Data focused visualization research

  • high-dimensional data and dimensionality reduction and data compression
  • multidimensional multi-field, multi-modal, multi-resolution and multi-variate data
  • causality and uncertainty data
  • time series, time varying, streaming and flow data
  • scalar, vector and tensor fields
  • regular and unstructured grids
  • point-based data
  • large scale data (petabytes, ...)

Technique focused visualization research:

  • volume modeling and rendering
  • extraction of surfaces
  • topology-based and geometry-based techniques
  • glyph-based techniques
  • integrating spatial and non-spatial data visualization
  • machine-learning approaches

Graph and network visualization research:

  • design and experimentation of graph drawing algorithms
  • techniques, interfaces and interaction methods for graphs, trees, and other relational data
  • visualization of graphs and networks in application areas (e.g., social sciences, biology, geography, software engineering, circuit design, business intelligence)
  • interfaces and interaction techniques for graph and network visualizations
  • Benchmarks and experimental analysis for graph visualization systems and user interfaces

Interaction focused visualization research:

  • icon- and glyph-based
  • focus + context
  • animation
  • zooming and navigation
  • linking + brushing
  • coordinated multiple views
  • view-dependent visualization
  • data labeling, editing and annotation
  • collaborative, co-located and distributed
  • manipulation and deformation
  • visual data mining and visual knowledge discovery

Empirical and comprehension focused visualization research

  • visual design and aesthetics
  • cognition and perception issues
  • cognitive studies on graph drawing readability and user interaction
  • presentation, dissemination and storytelling
  • design studies, case studies and focus groups
  • task and requirements analysis
  • metrics and benchmarks
  • evaluations of all types: qualitative, quantitative, laboratory, field, and usability studies
  • validation and verification
  • perception theory including such factors as color texture, scene, motion perception, perceptual cognition

System focused visualization research

  • novel algorithms and mathematics
  • mobile and ubiquitous
  • taxonomies and models
  • methodologies, discussions and frameworks
  • visual design, visualization system and toolkit design
  • illustrative visualization
  • data warehousing, database visualization and data mining
  • collaborative and distributed visualization
  • mathematical theories for visualization

Hardware, Display and Interaction Technology

  • large and high-res displays
  • stereo displays
  • mobile and ubiquitous environments
  • immersive and virtual environments
  • multimodal input (touch, haptics, voice, etc. )
  • hardware acceleration
  • GPUs and multi-core architectures
  • CPU and GPU clusters
  • distributed systems, grid and cloud environments
  • volume graphics hardware