活动简介

PacificVis is a unified visualization symposium, welcoming all areas of visualization research such as: information visualization, scientific visualization, graph and network visualization, visual analytics, and specific applications such as (but not limited to) security-, software- and bio-visualization.

征稿信息

重要日期

2018-09-21
初稿截稿日期

PacificVis is a unified visualization symposium, welcoming all areas of visualization research such as: information visualization, scientific visualization, graph and network visualization, visual analytics, and specific applications such as (but not limited to) security-, software- and bio-visualization. Authors are invited to submit original and unpublished research and application papers in all areas of visualization. We encourage papers in any new, novel, and exciting research area that pertains to visualization.

All submitted papers will go through a two-stage review process to guarantee the publication of high-quality papers. All papers accepted by IEEE Pacific Visualization 2019 will be published by IEEE and will be also included in the IEEE Digital Library. Selected papers will be published directly in IEEE Transactions on Visualization and Computer Graphics (TVCG).

征稿范围

Suggested topics include, but are not limited to:

Visualization Application Areas:

  • 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 Visualization
  • Focus + Context Techniques
  • Animation
  • Zooming and Navigation
  • Linking + Brushing
  • Coordinated Multiple Views
  • View-Dependent Visualization
  • Data Labeling, Editing and Annotation
  • Collaborative, Co-Located and Distributed Visualization
  • Manipulation and Deformation
  • Visual Data Mining and Visual Knowledge Discovery

Empirical and Comprehension Focused Visualization Research:

  • Visual Design and Aesthetics
  • Illustrative Visualization
  • 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
  • Use of Eye Tracking and Other Biometric Measures
  • 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
  • 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
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重要日期
  • 会议日期

    04月23日

    2019

    04月26日

    2019

  • 09月21日 2018

    初稿截稿日期

  • 04月26日 2019

    注册截止日期

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