Feature-Based Visual Analysis

  • May 20, 2015
  • 6:30 PM - 8:00 CST
  • Lewis Towers, Beane Hall
  • Dr. Ronald Greenberg, rig@cs.luc.edu
  • free
  • all
     Open to the public.
  • http://www.chicagoacm.org
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  • Details

    Speaker: Tuan Dang
    5:45 pm (Social Hour, light refreshments)
    6:30 pm Presentation

    About the Talk:
    Mining and visualizing huge databases has become a daunting task for many application domains such as astronomy, medicine, geology, oceanography, and crime prevention. In this talk, I introduce a new technique for exploring and organizing huge databases using visual features. These visual features aim to characterize the 2D distributions of orthogonal projections on a set of points in a scatterplot or a set of pixels in an image. To compare two scatterplots/images, we use a small set of features instead of inspecting millions of data points/pixels. Working directly with these measures, we located unusual correlations between pairs of variables in time series (TimeSeer, TVCG 2012). For large data sets of thousands of dimensions, we use these measures to cluster and display only exemplars (about 30 of them) in a force-directed layout. This provides a comprehensive overview of a high-dimensional data set (ScagExplorer, PacificVis 2014). We also apply transformations to reveal hidden patterns that are not apparent in the regular scatterplots (ScagTransformer, VAST 2014). Lastly, we extend this work to handle pixels in images and developed new descriptors that are appropriate for images (PixSearcher, ISVC 2014).

    About the Speaker:
    Tuan Nhon Dang is a Postdoctoral Researcher in information visualization at Electronic Visualization Laboratory, Department of Computer Science, University of Illinois at Chicago. He received his M.Sc. degree in Computer Science at University of Illinois atChicago, a M.Sc. degree in Computing Systems at Politecnico di Milano, Italy in 2009 and a Ph.D. from the University of Illinois at Chicago in 2014. His research interests are in visual analytics and computer animation.