Download como arquivo ICAL
Seminário: Image-Based Graph Visualization: Advances and Challenges.
Segunda-feira 01 Julho 2019, 14:00 - 15:30
Contato: Este endereço de email está sendo protegido de spambots. Você precisa do JavaScript ativado para vê-lo.


Visualizing large, multiply-attributed, and time-dependent graphs is one of the grand challenges of information visualization. In recent years, image-based techniques have emerged as a strong competitor in the arena of solutions for this task. While many papers on this topic have been published, the precise advantages and limitations of such techniques, and also how they relate to similar techniques in the more traditional fields of scientific visualization (scivis) and image processing, have not been sufficiently outlined. In this paper, we aim to provide such an overview and comparison. We highlight the main advantages of image-based graph visualization and propose a simple taxonomy for such techniques. Next, we highlight the differences between graph and scivis/image datasets that lead to limitations of current image-based graph visualization techniques. Finally, we consider these limitations to propose a number of future work directions for extending the effective- ness and range of image-based graph visualization.


Alexandru Telea received his PhD (2000) in Computer Science from the Eindhoven University of Technology, the Netherlands, in the area of visualization system design. Until 2007, he was assistant professor in visualization and computer graphics at the same university. Since 2007, he is professor of multiscale visual analytics at the Faculty of Science and Engineering, University of Groningen, the Netherlands. His interests include 3D multiscale shape processing, information visualization (with a focus on relational and multidimensional data), software visualization, and visual analytics. He has published over 200 papers in the above fields. He is the author of the textbook "Data Visualization - Principles and Practice" (CRC Press, 2nd edition, 2014) and the co-creator of CUBu, the world's fastest bundling algorithm for general graphs.

Local : IME-USP - Bloco A - Auditório Antonio Gilioli