IVAPP 2019: Difference between revisions
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==Topics== | ==Topics== | ||
'''AREA 1:''' ABSTRACT DATA VISUALIZATION: | |||
* | * Visual Data Analysis and Knowledge Discovery | ||
* | * Mathematical Foundations of Interactive Visual Analysis | ||
** | * Display and Interaction Technology | ||
* Databases and Visualization, Visual Data Mining | |||
* Graph Visualization | |||
* Interface and Interaction Techniques for Visualization | |||
* Internet, Web and Security Visualization | |||
* Software Visualization | |||
* Information Visualization | |||
* Visual Analytical Reasoning | |||
* Hardware-Assisted Visualization | |||
* High-Dimensional Data and Dimensionality Reduction | |||
* Text and Document Visualization | |||
* Visual Representation and Interaction | |||
* Data Management and Knowledge Representation | |||
* | '''AREA 2:''' GENERAL DATA VISUALIZATION: | ||
** | * Interactive Visual Interfaces for Visualization | ||
* Perception and Cognition in Visualization | |||
* Visualization Applications | |||
* Visualization Taxonomies and Models | |||
* Visualization Algorithms and Technologies | |||
* Visualization Tools and Systems for Simulation and Modeling | |||
* Augmented/Mixed Reality and Data Visualization Immersive Analytics | |||
* Time-Dependent Visualization | |||
* Usability Studies and Visualization | |||
* Glyph-Based Visualization | |||
* Collaborative Visualization | |||
* Coordinated and Multiple Views | |||
* Interpretation and Evaluation Methods | |||
* Knowledge-Assisted Visualization | |||
* Large Data Visualization | |||
* | '''AREA 3:''' SPATIAL DATA VISUALIZATION: | ||
** | * Biomedical Visualization and Applications | ||
* Vector/Tensor Field Visualization | |||
* Virtual Environments and Data Visualization | |||
* Volume Visualization | |||
* Scientific Visualization | |||
* Flow Visualization | |||
* GPU-based Visualization | |||
* Image/Video Summarization and Visualization | |||
* Multi-Field Visualization | |||
* Parallel Visualization | |||
* Uncertainty Visualization | |||
==Submissions== | |||
==Important Dates== | |||
Revision as of 07:40, 15 May 2020
| IVAPP 2019 | |
|---|---|
10th International Conference on Information Visualization Theory and Applications
| |
| Event in series | IVAPP |
| Subevent of | VISIGRAPP |
| Dates | 2019/02/25 (iCal) - 2019/02/27 |
| Homepage: | http://www.ivapp.visigrapp.org/?y=2019 |
| Location | |
| Location: | Prague, Czech Republic |
| Committees | |
| General chairs: | Jose Braz |
| PC chairs: | Andreas Kerren, Christophe Hurter |
| Keynote speaker: | Daniel McDuff, Diego Gutierrez, Jiri Matas, Dima Damen |
| Table of Contents | |
The International Conference on Information Visualization Theory and Applications aims at becoming a major point of contact between researchers, engineers and practitioners in Information Visualization. The conference will be structured along several topics related to Information Visualization.
Topics
AREA 1: ABSTRACT DATA VISUALIZATION:
- Visual Data Analysis and Knowledge Discovery
- Mathematical Foundations of Interactive Visual Analysis
- Display and Interaction Technology
- Databases and Visualization, Visual Data Mining
- Graph Visualization
- Interface and Interaction Techniques for Visualization
- Internet, Web and Security Visualization
- Software Visualization
- Information Visualization
- Visual Analytical Reasoning
- Hardware-Assisted Visualization
- High-Dimensional Data and Dimensionality Reduction
- Text and Document Visualization
- Visual Representation and Interaction
- Data Management and Knowledge Representation
AREA 2: GENERAL DATA VISUALIZATION:
- Interactive Visual Interfaces for Visualization
- Perception and Cognition in Visualization
- Visualization Applications
- Visualization Taxonomies and Models
- Visualization Algorithms and Technologies
- Visualization Tools and Systems for Simulation and Modeling
- Augmented/Mixed Reality and Data Visualization Immersive Analytics
- Time-Dependent Visualization
- Usability Studies and Visualization
- Glyph-Based Visualization
- Collaborative Visualization
- Coordinated and Multiple Views
- Interpretation and Evaluation Methods
- Knowledge-Assisted Visualization
- Large Data Visualization
AREA 3: SPATIAL DATA VISUALIZATION:
- Biomedical Visualization and Applications
- Vector/Tensor Field Visualization
- Virtual Environments and Data Visualization
- Volume Visualization
- Scientific Visualization
- Flow Visualization
- GPU-based Visualization
- Image/Video Summarization and Visualization
- Multi-Field Visualization
- Parallel Visualization
- Uncertainty Visualization