The 11th Pacific Visualization Symposium (PacificVis 2018) will be held in Kobe, Japan during April 10 to 13, 2018. Visualization has become an increasingly important research area due to its wide range of applications in many disciplines. PacificVis conference series has been an IEEE sponsored international visualization symposium held in the Asia-Pacific region. Its 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 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 Authors are invited to submit original and unpublished research and application papers in all areas of visualization.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.
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 Multivariate 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
04月10日
2018
04月13日
2018
摘要截稿日期
初稿截稿日期
终稿截稿日期
注册截止日期
2024年04月23日 日本 Tokyo
2024 IEEE 17th Pacific Visualization Symposium2023年04月18日 Seoul
2023 IEEE 16th Pacific Visualization Symposium2022年04月11日 日本 Tsukuba
2022 IEEE 15th Pacific Visualization Symposium2021年04月19日 中国 Tianjin
2021 IEEE 14th Pacific Visualization Symposium2019年04月23日 泰国
2019 IEEE Pacific Visualization Symposium2017年04月18日 韩国 Seoul,Korea
2017 IEEE Pacific Visualization Symposium2016年04月19日 中国 Taipei, Taiwan
2016 IEEE 太平洋可视化研讨会2014年03月04日 日本
2014 IEEE 太平洋可视化研讨会2013年02月27日 澳大利亚
2013 IEEE 太平洋可视化研讨会2009年04月20日 中国 北京市
2009 IEEE 太平洋可视化研讨会
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