活动简介

Dear PacificVis Participants:

IEEE Pacific Visualization 2021 will no longer take place in Tianjin, China and will instead take place virtually. The schedule will be continue as planned. 

PVIS 2021 General Chair
Jiawan Zhang
19 Feb. 2021

Visualization has become an increasingly important research area due to its wide range of applications in many disciplines. 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.
 

组委会

General Conference Chair

Jiawan Zhang        Tianjin University,China

Papers Co-Chairs

Chaoli Wang        University of Notre Dame,USA

Nan Cao        Tongji University,China

Holger Theisel        University of Magdeburg,Germany

VisNotes Co-Chairs

Barbora Kozlíková        Masaryk University,Czech Republic

Won-Ki Jeong        Korea university,South Korea

Martin Nöllenburg        Technische Universität Wien,Austria

Posters Co-Chairs

Steffen Frey        University of Groningen,Netherlands

Siming Chen        Fudan University,China

Visual Storytelling Contest Co-chairs

Chris Bryan        Arizona State University,USA

Yoon Chung Han        San Jose State University,USA

Steering Committee

Wei Chen        hejiang University,China

Issei Fujishiro        Keio University,Japan

Seokhee Hong        University of Sydney,Australia

Koji Koyamada        Kyoto University,Japan

Kwan-Liu Ma        University of California at Davis,USA

Jinwook Seo        Seoul National University,South Korea

Organizing Co-chairs

Chongke Bi        Tianjin university,China

Yi Zhang        Tianjin university,China

Publicity Co-chairs

Hsiang-Yun Wu        TU Wien,Austria

Jie Li        Tianjin university,China

Sponsor chair

Zhibin Niu        Tianjin University,China

Financial chair

Mei Li        Tianjin university,China

Webmaster

Meng Wang        Tianjin university,China

征稿信息

重要日期

2020-12-11
摘要截稿日期
2021-02-18
终稿截稿日期

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 biological 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 Authors are invited to submit original and unpublished research and application papers in all areas of visualization.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 2020 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, and Terrain Visualization

  • Molecular, Biomedical, Bioinformatics, and Medical Visualization

  • Text, Document, and Software Visualization

  • Social and Information Sciences

  • Education and Everyday Visualization

  • Multimedia (Image/Video/Music) Visualization

Data-focused Visualization Research:

  • High-dimensional Data, Dimensionality Reduction, and Data Compression

  • 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

  • Interfaces and Interaction Techniques for Graph and Network Visualizations

  • Benchmarks and Experimental Analysis for Graph Visualization Systems

Interaction-focused Visualization Research:

  • Icon- and Glyph-based Visualization

  • Focus + Context Techniques

  • Animation

  • Zooming and Navigation

  • Brushing + Linking

  • 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

  • User Studies on Visualization 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

System-focused Visualization Research:

  • Novel Algorithms and Mathematics

  • 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

Hardware, Display, and Interaction Technology:

  • Large and High-resolution 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19日

    2021

    04月22日

    2021

  • 12月11日 2020

    摘要截稿日期

  • 02月18日 2021

    终稿截稿日期

  • 04月21日 2021

    注册截止日期

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