How can we build an efficient optimization framework for the adaptation of self-consistent visualization techniques?
What kind of quantitative models from perceptual psychology and computer vision literature can be used to optimize the encoding of direction information in 2D visualization?
Which quantitative models are useful for optimizing animated visualizations with moving patterns?
How can we adapt the visualization to maintain the structure of relative differences or derivatives from the input data in the form of contrast of the visualization images?
How can multi-objective optimization be used for overlaid visualization of multivariate data?