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On the Death of SciVis Han-Wei Shen

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Presentation on theme: "On the Death of SciVis Han-Wei Shen"— Presentation transcript:

1 On the Death of SciVis Han-Wei Shen
Department of Computer Science and Engineering The Ohio State University

2 SciVis is Dying? From the submission numbers From the market size
From the remaining challenges From the topics/techniques

3 Submission Numbers Year Submissions Accepted 2010 (Vis) 185 49
194 2012 154 42 2013 126 34 2014 136 35 2015 134 33 2016 30 LDAV * 34 43 42 40

4 Scientific and Engineering Market
US science and engineering labor forces

5 Top 10 Visual Analytics Challenges
Pak Chung Wong, Han-Wei Shen, Christopher R. Johnson, Chaomei Chen, Robert B. Ross, Top 10 Challenges in Extreme Scale Visual Analytics,  IEEE Computer Graphics and Applications, July/August 2012

6 SciVis is Dying? From the submission numbers From the market size
From the challenges From the topics/techniques

7 SciVis Topic Trends (

8 SciVis Topic Trends (

9 SciVis Topic Trends (

10 SciVis Topic Trends (

11 Three Decades of SciVis Journey
First decade ( ) Speeding up and enhance fundamental scivis algorithms (volume rendering, isosurface, flow vis)

12 The First Decade (1990-2000) Differential Volume Rendering
Sweeping Simplicies for isosurface extraction ISSUE – Isosurface Extraction in Span Space Minimum seed sets (Bajaj, Pascucci, Schikore) Extrema Graphs (Takayoki)

13 The First Decade (1990-2000) Differential Volume Rendering
Sweeping Simplicies for isosurface extraction ISSUE – Isosurface Extraction in Span Space Minimum seed sets (Bajaj, Pascucci, Schikore) Extrema Graphs (Takayuki) Mostly data structure and algorithm research

14 The First Decade ( ) Time-varying hierarchical indexing for isosurfaces Time-space partitioning tree (TSP) for volme rendering Unsteady flow LIC (UFLIC)

15 The First Decade ( ) Time-varying hierarchical indexing for isosurfaces Time-space partitioning tree (TSP) for volme rendering Unsteady flow LIC (UFLIC) Time-varying data visualization algorithms (date structures and rendering)

16 The Second Decade ( ) Chameleon: Flexible appearance control of LIC Textures Chronovolume: high-dimensional volume rendering Isosurface tracking in high-dimensional space Visibility culling using plenoptic opacity function Isosurfacing in transformed space

17 The Second Decade ( ) Chameleon: Flexible appearance control of LIC Textures Chronovolume: high-dimensional volume rendering Isosurface tracking in high-dimensional space Visibility culling using plenoptic opacity function Isosurfacing in transformed space Added value to the basic scivis techniques

18 The Second Decade (2001-2010) Time-varying visibility culling
View selection using information theory Time-varying volume view selection using information theory Level of detail selection using information theory Multivariate volume blending for using Porter and Duff operators

19 The Second Decade ( ) Time-varying visibility culling View selection using information theory Time-varying volume view selection using information theory Level of detail selection using information theory Multivariate volume blending for using Porter and Duff operators Introduce new methods to solve unsolved problems

20 The Second Decade (2000-2009) Image space streamline seeding
Temporal trend analysis using DTW Temporal bone surgical simulations Temporal trend analysis with clustering and spreadsheet

21 The Second Decade ( ) Image space streamline seeding Temporal trend analysis using DTW Temporal bone surgical simulations Temporal trend analysis with clustering and spreadsheet Fundamental algorithm, data analysis and domain specific problems

22 The Third Decade ( ) Information theoretic framework for flow seed placement Parallel load balanced streamline computation Flow guided file layout for pathline computation Information-aware multivariate data exploration

23 The Third Decade ( ) Information theoretic framework for flow seed placement Information-aware multivariate data exploration Parallel load balanced streamline computation Flow guided file layout for pathline computation Big data, parallel and out-of-core, I/O, multivariate data analysis

24 The Third Decade (2010-2016) Parallel FTLE computation (SC)
Parallel Streamsurface computation (SC) Interval histogram compression with Wavelet Distribution-based flowline analysis (Pacific Vis) Distribution-based feature tracking

25 The Third Decade ( ) Parallel FTLE computation (SC) Parallel Streamsurface computation (SC) Interval histogram compression with Wavelet Distribution-based flowline analysis (Pacific Vis) Distribution-based feature tracking Big data, and distribution-based data analysis

26 The Third Decade (2010-2016) Associate analysis for multivariate data
In Situ and offline analysis of rotation stall for Jet Engine Time-Varying, Multiresolution Ensemble Weather Data Analysis Interactive Glyph Visualization

27 The Third Decade ( ) Associate analysis for multivariate data In Situ and offline analysis of rotation stall for Jet Engine Time-Varying, Multiresolution Ensemble Weather Data Analysis Interactive Glyph Visualization In Situ,Multivariate, distribution, ensemble analysis for domain specific problem, emerging technology

28 Three Decades of IEEE SciVis Journey
High-Dimensional Rendering Time-Varying Data Feature tracking Visibility Culling Isosurface Multivariate Information Theory Streamline Seeding Temporal Trend Analysis (7 Ph.D.s graduated) Information Theory Multivariate Data Big Data Parallel Load Balance I/O and File Layout Parallel FTLE Uncertain FTLE Paralell Streamsurface Distributions feature tracking feature classification Association Analysis In Situ Analysis Uncertainty and Ensemble Interface and VR (11 Ph.D.s graduated) Volume Rendering Isosurface LIC

29 SciVis is no where near its death!!


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