PacificVis 2018 : Pacific Visualization Symposium

  in Conferences   Posted on July 30, 2017

Conference Information

Submission Deadline Friday 29 Sep 2017 Proceedings indexed by :
Conference Dates Apr 10, 2018 - Apr 13, 2018
Conference Address Kobe, Japan
Conference & Submission Link
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 227
Category Rankings
Graphics & Computer-Aided Design 17
Image Processing & Computer Vision 25
Number of Editions: 13 ( since 2008 )
CORE 2018 Rating: B
DBPL Proceedings

Google Scholar H5-index:

Conference Call for Papers

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unpublished research and application papers in all areas of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.

All submitted papers will go through a two-stage review process to

guarantee the publication of high-quality papers. Selected papers from

PacificVis 2016 and 2017 were published in IEEE Transactions on

Visualization & Computer Graphics (TVCG).



———————— —————

Abstract due Sep. 22, 2017

Full paper due Sep. 29, 2017

Reviews due Nov. 5, 2017

1st cycle notification Nov. 20, 2017

Revision due Jan. 5, 2018

2nd cycle notification Jan. 22, 2018

Camera ready paper due Feb. 2, 2018

———————— —————

All deadlines are at 9:00 pm Pacific Time (PDT).


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


– 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


– 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


Original unpublished papers of up to ten (10) pages (two-column,

single-spaced, 9 point font, including figures, tables and references)

are invited. Manuscripts must be written in English, and follow the

formatting guidelines. Reviewing will be double blind, please remove all

author and affiliation information from submissions and supplemental

files. Please substitute your paper\’s ID number for the author name.

Papers should be submitted electronically in Adobe PDF format. Please

provide supplemental videos in QuickTime MPEG-4 or DivX version 5, and

use TIFF, JPEG, or PNG for supplemental images.

Note: Submission system and formatting guidelines are under

construction. Their information will be shown here.


– Stefan Bruckner, University of Bergen, Norway

– Koji Koyamada, Kyoto University, Japan

– Bongshin Lee, Microsoft Research, USA

Email: pvis_papers(at)


A VIS paper typically falls into one of five categories: technique,

system, design study, evaluation, or model. We briefly discuss these

categories below. Although your main paper type has to be specified

during the paper submission process, papers can include elements of more

than one of these categories. Please see \”Process and Pitfalls in

Writing Information Visualization Research Papers\” by Tamara Munzner for

more detailed discussion on how to write a successful VIS paper.

TECHNIQUE PAPERS introduce novel techniques or algorithms that have not

previously appeared in the literature, or that significantly extend

known techniques or algorithms, for example by scaling to datasets of

much larger size than before or by generalizing a technique to a larger

class of uses. The technique or algorithm description provided in the

paper should be complete enough that a competent graduate student in

visualization could implement the work, and the authors should create a

prototype implementation of the methods. Relevant previous work must be

referenced, and the advantage of the new methods over it should be

clearly demonstrated. There should be a discussion of the tasks and

datasets for which this new method is appropriate, and its limitations.

Evaluation through informal or formal user studies, or other methods,

will often serve to strengthen the paper, but are not mandatory.

SYSTEM PAPERS present a blend of algorithms, technical requirements,

user requirements, and design that solves a major problem. The system

that is described is both novel and important, and has been implemented.

The rationale for significant design decisions is provided, and the

system is compared to documented, best-of-breed systems already in use.

The comparison includes specific discussion of how the described system

differs from and is, in some significant respects, superior to those

systems. For example, the described system may offer substantial

advancements in the performance or usability of visualization systems,

or novel capabilities. Every effort should be made to eliminate external

factors (such as advances in processor performance, memory sizes or

operating system features) that would affect this comparison. For

further suggestions, please review \”How (and How Not) to Write a Good

Systems Paper\” by Roy Levin and David Redell, and \”Empirical Methods in

CS and AI\” by Toby Walsh.

APPLICATION / DESIGN STUDY PAPERS explore the choices made when applying

visualization and visual analytics techniques in an application area,

for example relating the visual encodings and interaction techniques to

the requirements of the target task. Similarly, Application papers have

been the norm when researchers describe the use of visualization

techniques to glean insights from problems in engineering and science.

Although a significant amount of application domain background

information can be useful to provide a framing context in which to

discuss the specifics of the target task, the primary focus of the case

study must be the visualization content. The results of the Application

/ Design Study, including insights generated in the application domain,

should be clearly conveyed. Describing new techniques and algorithms

developed to solve the target problem will strengthen a design study

paper, but the requirements for novelty are less stringent than in a

Technique paper. Where necessary, the identification of the underlying

parametric space and its efficient search must be aptly described. The

work will be judged by the design lessons learned or insights gleaned,

on which future contributors can build. We invite submissions on any

application area.

EVALUATION PAPERS explore the usage of visualization and visual

analytics by human users, and typically present an empirical study of

visualization techniques or systems. Authors are not necessarily

expected to implement the systems used in these studies themselves; the

research contribution will be judged on the validity and importance of

the experimental results as opposed to the novelty of the systems or

techniques under study. The conference committee appreciates the

difficulty and importance of designing and performing rigorous

experiments, including the definition of appropriate hypotheses, tasks,

data sets, selection of subjects, measurement, validation and

conclusions. The goal of such efforts should be to move from mere

description of experiments, toward prediction and explanation. We do

suggest that potential authors who have not had formal training in the

design of experiments involving human subjects may wish to partner with

a colleague from an area such as psychology or human-computer

interaction who has experience with designing rigorous experimental

protocols and statistical analysis of the resulting data. Other novel

forms of evaluation are also encouraged.

THEORY/MODEL PAPERS present new interpretations of the foundational

theory of visualization and visual analytics. Implementations are

usually not relevant for papers in this category. Papers should focus on

basic advancement in our understanding of how visualization techniques

complement and exploit properties of human vision and cognition.

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