Umfassende visuelle Informationssuche in multidimensionalen Datensätzen

点击翻译按钮获取中文摘要

The project extends the results of the exhaustive visual search approach to address higher-order relations in multidimensional data sets which are to be searched, modeled, and analyzed by applying image analysis techniques to a large number of automatically created visualizations. Here, “higher-order relations“ refers to considering non-trivial relations between two dimensions described by user-drawn sketches, relations between more than two dimensions, and relations only present in continuous (nondiscrete) data sets. For all three cases, solutions based on the exhaustive visual search shall be explored. Methodically, the approaches are based on finding new quality measures for different visualizations, analyzing 3D visualizations, and searching features in continuous visualizations. While focusing on developing general (application-independent) principles, our methods will be tested on high-dimensional and large data sets provided by our cooperation partners from climate research and medical imaging.