ILLUSTRARE: Integrative Visual Abstraction of Molecular Data

Duration: 1. January 2017 - 31. December 2019
Project leader: Ivan Viola
FWF I 2953-N31

General Information

In many aspects of our modern lives we face the problem of having to make sense of large amounts of data. This applies to scientists trying to make sense of their experiments and simulations, to bankers and traders trying to understand the dynamics of the financial markets, and to large enterprises which need to understand the principles behind demand and supply—to name just a few examples. The basic problem in all these cases is that people need to identify important and/or unexpected features in large simulated or captured datasets. Visualization is the domain that facilitates this process of sense-making by dramatically simplifying the process of obtaining an understanding of the data—by representing data visually and thus amplifying people’s cognition. This inherent capability of (good) visualization techniques to amplify human cognition, however, is no longer enough to be able to make sense of today’s huge datasets. To be able to see the essential aspects we need dedicated mechanisms that abstract away the (unnecessary) detail to, in turn, allow the user of the visualization to focus on the important elements. The crucial problem in this context is that it is impossible to know what is important and what is not in a general way—importance changes based on the research question, on the application domain, on the data size, on the user, on the specific situation, etc. Visualization technology therefore needs to support dynamic change of visual abstraction of the data to reflect these contextual changes. The fundamental research challenge in visualization for us is to get an understanding of what (visual) abstraction really is, what it means, how it can be controlled, and how it is, can be, and should be used in visualization.


3 Publications found:
Image Bib Reference Publication Type
Haichao Miao, Elisa De Llano, Johannes Sorger, Yasaman Ahmadi, Tadija Kekic, Tobias Isenberg, Meister Eduard Gröller, Ivan Barisic, Ivan Viola
Multiscale Visualization and Scale-adaptive Modification of DNA Nanostructures
IEEE Transactions on Visualization and Computer Graphics, 24(1), January 2018. [paper]
Journal Paper with Conference Talk
Kai Lawonn, Ivan Viola, Bernhard Preim, Tobias Isenberg
A Survey of Surface-Based Illustrative Rendering for Visualization
Computer Graphics Forum, (NN), 2018.
Journal Paper (without talk)
Haichao Miao
Visualization and Modeling in DNA Nanotechnology, 2017, Inria
Invited Talk
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