Visual Computing: Illustrative Visualization

Duration: Jan 2013 - Dec 2020
Project leader: Ivan Viola
Funding:
EU 7th Framework Program PCIG13-GA-2013-618680
WWTF Wiener Wissenschafts-, Forschungs- und Technologiefonds VRG11-010

General Information

The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined.

The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives.

The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain.

Prototype implementation of the developed technology is available at the GitHub repository:
https://github.com/illvisation/

cellVIEW

cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.

Invited Talks

18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
19.04.2013: Jan Koenderink, Shape in Visual Awareness

Publications

64 Publications found:
Image Bib Reference Publication Type
2013
Julius Parulek, Timo Ropinski, Ivan Viola
Importance Driven Visualization of Molecular Surfaces
Poster shown at 3rd IEEE Symposium on Biological Data Visualization (13. October 2013-14. October 2013)
[Poster]
Poster
Endre M. Lidal, Mattia Natali, Daniel Patel, Helwig Hauser, Ivan Viola
Geological storytelling
Computer & Graphics, 37(5):445-459, August 2013.
Journal Paper (without talk)
Tyge Løvset, Dag Magne Ulvang, Tor Christian Bekkvik, Kåre Villanger, Ivan Viola
Rule-based method for automatic scaffold assembly from 3D building models
Computer & Graphics, 37(4):256-268, June 2013.
Journal Paper (without talk)
Endre M. Lidal, Morten Bendiksen, Daniel Patel, Ivan Viola
Rapid Sketch-based 3D Modeling of Geology
In Proceedings of EnvirVis Short Papers 2013, 2013, pages 1-5. June 2013.
[Paper]
Conference Paper
Manuela Waldner, Johann Schrammel, Michael Klein, Katrin Kristjansdottir, Dominik Unger, Manfred Tscheligi
FacetClouds: Exploring Tag Clouds for Multi-Dimensional Data
In Proceedings of the 2013 Graphics Interface Conference, pages 17-24. May 2013.
[paper]
Conference Paper
Åsmund Birkeland, Dag Magne Ulvang, Kim Nylund, Trygve Hausken, Odd Helge Gilja, Ivan Viola
Doppler-based 3D Blood Flow Imaging and Visualization
In SCCG 2013 - 29th Proceedings Spring conference on Computer Graphics, pages 128-135. May 2013.
[Paper]
Conference Paper
Julius Parulek, Timo Ropinski, Ivan Viola
Seamless Visual Abstraction of Molecular Surfaces
In SCCG 2013 - 29th Proceedings Spring conference on Computer Graphics, pages 120-127. May 2013.
[Paper]
Conference Paper
Manuela Waldner, Dieter Schmalstieg
Towards Ubiquitous Information Space Management
In POWERWALL: International Workshop on Interactive, Ultra-High-Resolution Displays, part of the SIGCHI Conference on Human Factors in Computing Systems (2013), pages 1-6. May 2013.
[Position Paper]
Conference Paper
Ivan Viola, Åsmund Birkeland, Veronika Šoltészová, Linn Helljesen, Helwig Hauser, Spiros Kotopoulis, Kim Nylund, Dag Magne Ulvang, Ola Kristoffer Øye, Trygve Hausken, Odd Helge Gilja
High-Quality 3D Visualization of In-Situ Ultrasonography
In EG 2013 - Dirk Bartz Prize, pages 1-4. May 2013.
[Paper]
Conference Paper
Mattia Natali, Endre M. Lidal, Julius Parulek, Ivan Viola, Daniel Patel
Modeling Terrains and Subsurface Geology
In INPROCEEDINGS, EuroGraphics 2013 State of the Art Reports (STARs), 2013, pages 155-173. May 2013.
[Paper]
Conference Paper
Aleksandra Anna Sima, Xavier Bonaventura, Miquel Feixas, Mateu Sbert, John Anthony Howell, Ivan Viola, Simon John Buckley
Computer-aided image geometry analysis and subset selection for optimizing texture quality in photorealistic models
Computers & Geosciences, 52:281-291, March 2013.
Journal Paper (without talk)
Ivan Viola
Declarative Visualization, 2013, Smolenice castle, Slovakia
[Paper]
Invited Talk
undated
Martina Rasch
Image-Space Solvent-Excluded Surface Visualization
Ongoing Master Thesis
Meister Eduard Gröller
Visual Computing for the Analysis of Complex Systems, December 2016, Invited Talk at the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST)
Invited Talk
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