Visualization Community

The human visual sense is superior to today’s computers in terms of perceiving content in images. Using vision, high bandwidth can be created between digital data representations and the user. It is this human capability that visualization builds upon by generating images representing the content of large and complex data sets enabling in-depth exploration of the data. Thereby, interactivity plays a central role as the user needs to feed back gained insights to detect expected features and discovering unexpected ones. The focus of visualization solutions is to assist humans effectively in this process. As such visualization plays a central role in the today’s knowledge scientific discovering process.

Research Environment

As SeRC is a national network, the members of the visualization community are hosted by different organizations. Among them are the Norrköping Visualization Center C (http://www.visualiseringscenter.se), the Center for Medical Image Science and Visualization (http://www.cmiv.liu.se,), and the Center for Visualization, Interaction and Collaboration (http://www.csc.kth.se/vic). All these sites collaborate closely and have access to the National Supercomputing Center (http://www.nsc.liu.se) and the PDC Center for High Performance Computing (http://www.pdc.kth.se). The visualization community efforts are coordinated by the Scientific Visualization Group at Linköping University.

 

Overall Research Goals

Visualization has a very central role within e-Science research. In many scientific communities the use of visualization is established to a great extent. However, it is mostly limited to basic multi-purpose methods, which do not keep path with the development of size and complexity of the data. The objective for the SeRC visualization community is develop novel interactive visualization methods tailored to specific e-Science applications with their specific challenges. The challenges include extraction and tracking of key features and characteristics, comparison of data from different sources or from different simulations, and enabling interactive exploration for large and complex data.