Generation of Semantic Layouts for Interactive Multidimensional Data Visualization
Resumo
Visualization methods make use of interactive graphical representations embedded on a display area in order to enable data exploration and analysis. These typically rely on geometric primitives for representing data or building more sophisticated representations to assist the visual analysis process. One of the most challenging tasks in this context is to determinate an optimal layout of these primitives which turns out to be effective and informative. However, most techniques are able to tackle just a few fundamental requirements simultaneously, impairing their use and flexibility. In this dissertation, we propose a set of approaches for building layouts from geometric primitives that concurrently addresses a wider range of requirements. A comprehensive set of quantitative comparisons against existing methods for layout generation and applications on multimedia data visualization prove the effectiveness of our approaches.
Referências
Gomez-Nieto, E., Casaca, W., Motta, D., Hartmann, I., Taubin, G., and Nonato, L. G. (2016). Dealing with multiple requirements in geometric arrangements. IEEE Transactions on Visualization and Computer Graphics, 22(3):1223–1235.
Gomez-Nieto, E., Casaca, W., Nonato, L. G., and Taubin, G. (2013). Mixed integer optimization for layout arrangement. In Proceedings of the 26th Conference on Graphics, Patterns and Images (SIBGRAPI’13), pages 115–122.
Gomez-Nieto, E., Motta, D., and Nonato, L. (2014a). Semantically aware dynamic layouts. In Proceeding of the 27th Conference on Graphics, Patterns and Images (SIBGRAPI’14), pages 220–226.
Gomez-Nieto, E., Roman, F. S., Pagliosa, P., Casaca, W., Helou, E. S., de Oliveira, M. C. F., and Nonato, L. G. (2014b). Similarity preserving snippet-based visualization of web search results. IEEE Transactions on Visualization and Computer Graphics, 20(3):457–470.
Zanabria, G. G., Nonato, L. G., and Gomez-Nieto, E. (2016). iStar (i*): An interactive star coordinates approach for high-dimensional data exploration. Computers & Graphics, 60:107 – 118.
