[Ieee_vis] GI Workshop on Big Data Visual Computing, September 22, 2014 / Stuttgart

[Tobias Schreck]

(apologies for cross-postings)

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Big Data Visual Computing – Quantitative Perspectives for Visual Computing
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Full day workshop co-located with the annual conference of the German 
Informatics Society (2014)
Stuttgart, September 22, 2014

Early bird registration deadline: July 18, 2014
Poster submission deadline: July 31, 2014
http://www.vis.uni-konstanz.de/bdvc14/

The age of Big Data technology brings about massive increases in the 
available capacities for computing, data storage and data processing. 
Together with this technology shift, novel approaches are needed to 
extract knowledge and actionable information from large and complex data 
sets. This is especially true in the field of Visual Computing as the 
confluence of the areas of Computer Graphics, Computer Vision and 
Visualization, being the home to many of the core technologies to cope 
with big, complex data volumes. Examples of Visual Computing 
technologies include the interactive visualization of large amounts of 
spatio-temporal or abstract data types for exploration. Another example 
is the automatic analysis of large amounts of visual data, such as 
image, video or volume data.

While Visual Computing research to date has produced a number of 
impressive results, these are, by their formulation and assessment, 
often qualitative in nature or follow subjective criteria. On the other 
hand, in areas such as automatic data processing and analysis, 
quantitative methods have a long tradition. The aim of this workshop is 
to elaborate on the relationships between quantitative and qualitative 
methods for Visual Computing, and to develop novel quantitative 
perspectives for Visual Computing approaches.


Invited Talks
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The workshop will comprise an exciting set of invited talks from 
renowned experts in the field of Visual Computing, discussing their 
views on Visual Computing in light of qualitative and quantitative 
perspectives. The following invited talks have been announced:

• Rüdiger Westermann, TU München: Big Data Visualization in Research and 
Development - from Galaxies to Visual Effects
• Jarke van Wijk, Eindhoven University of Technology: Challenges in 
Information Visualization
• Silvia Miksch, TU Wien: Visual Analytics meet Big Data: Challenges and 
Opportunities
• Eduard Gröller, TU Wien: Comparative and Quantitative Visualization


Call for Posters
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The workshop will furthermore comprise a poster program on ongoing 
research in Visual Computing. Therefore, we are soliciting poster 
contributions including but not limited to the following areas:

• Large data set processing for Visual Computing
• Quantitative metrics
• Parallel implementations (GPU / cluster-architectures)
• Distributed and cloud-based computing, including out-of-core methods

As well as associated applications

• Rendering of large scene models and complex materials
• Methods for geometry processing and modeling
• Image- and video-based rendering
• Performance guarantees for image synthesis
• Image-based quality metrics
• Image processing and computer vision
• Scientific and Information Visualization
• Visual Analytics
• High-resolution displays and virtual environments


Important Dates
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18.07.2014 Early bird workshop registration
(see http://www.informatik2014.de/registration_de.html)
31.07.2014 Submission deadline for poster abstracts
(see http://www.vis.uni-konstanz.de/bdvc14/)
15.08.2014 Notification of poster acceptance
22.09.2014 Workshop takes place


Venue information
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Please see http://www.vis.uni-konstanz.de/bdvc14/ for up-to-date 
information on program and venue.


Organizers
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• Oliver Deussen, University of Konstanz, Oliver.Deussen at uni-konstanz.de
• Martin Fuchs, University of Stuttgart, Martin.Fuchs at visus.uni-stuttgart.de
• Tobias Schreck, University of Konstanz, Tobias.Schreck at uni-konstanz.de
• Daniel Weiskopf, University of Stuttgart, 
Daniel.Weiskopf at visus.uni-stuttgart.de