SCC-5836 2013(paulovich)

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SCC5836 - Visualização Computacional

  • Local: Sala 3-011 - Horário: Ter. 13:00hs - 16:00hs
  • Prof. Fernando V. Paulovich; paulovic [arroba] icmc.usp.br; Sala: 3-243

Avisos

  • Fazer análise de algum conjunto de dados usando o Gapminder. Levante uma hipótese, comprove ou refute. Discussão dos resultados (20/08/2013)

Datas Importantes

  • 12/11/2013 e 19/11/2013 - seminários
  • 26/11/2013 - prova

Apresentações

  • Jorge Henrique (slides [1] )
* Content Based Graph Visualization of Audio Data for Music Library Navigation. Muelder, C., T. Provan, e Kwan-Liu Ma. 2010 IEEE International Symposium on Multimedia (ISM)
* Edge Compression Techniques for Visualization of Dense Directed Graphs. Tim Dwyer, Nathalie Henry Riche, Kim Marriott, Christopher Mears. InfoVis 2013
* Interactive Level-of-Detail Rendering of Large Graphs. Michael Zinsmaier    Ulrik Brandes    Oliver Deussen    Hendrik Strobelt. InfoVis 2012
* Geometry-Based Edge Clustering for Graph Visualization. Weiwei Cui, Hong Zhou, Huamin Qu, Pak Chung Wong, and Xiaoming Li. InfoVis 2008
* Exploration of Networks Using Overview+Detail with Constraint-based Cooperative Layout. Tim Dwyer, Kim Marriott, Falk Schreiber, Peter J. Stuckey, Michael Woodward and Michael Wybrow. InfoVis 2008
* Rapid Graph Layout Using Space Filling Curves. Chris Muelder and Kwan-Liu Ma, Senior Member, IEEE. InfoVis 2008
  • Fábio Rodrigues Jorge (slides [2] )
* VAICo: Visual Analysis for Image Comparison.
* Interactive Exploration of Surveillance Video through Action Shot Summarization and Trajectory Visualization.
* Open-Box Spectral Clustering: Applications to Medical Image Analysis.
* Just-in-Time Annotation of Clusters, Outliers, and Trends in Point-based Data Visualizations
  • Karla Barbosa de Freitas (slides [3] )
* Variant View: Visualizing Sequence Variants in their Gene Context. Joel A. Ferstay, Cydney B. Nielsen, Tamara Munzner
* Entourage: Visualizing Relationships between Biological Pathways using Contextual Subsets. Alexander Lex, Christian Partl, Denis Kalkofen, Marc Streit, Samuel Gratzl, Anne Mai Wassermann, Dieter Schmalstieg, Hanspeter Pfister
* Smart Super Views - A Knowledge-Assisted Interface for Medical Visualization. Gabriel Mistelbauer, Hamed Bouzari, Rudiger Schernthaner, Ivan Baclija, Arnold Kochl, Stefan Bruckne
* BirdVis: Visualizing and Understanding Bird Populations. Nivan Ferreira, Lauro Lins, Daniel Fink, Steve Kelling, Christopher Wood, Juliana Freire, Claudio Silva
  • Sonia Castelo (slides [4] )
* Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets. Jian Zhao, Christopher Collins, Fanny Chevalier, Ravin Balakrishnan. In TVCG: IEEE Transactions on Visualization and Computer Graphics (Proceedings of VAST 2013), pp. 2080-2089, Dec 2013.
* DICON: Interactive Visual Analysis of Multidimensional Clusters. Nan Cao, David Gotz, Jimeng Sun and Huamin Qu. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. 17, NO. 12, DECEMBER 2011 (IEEE InfoVis 2011)
* Dimension Projection Matrix/Tree: Interactive Subspace Visual Exploration and Analysis of High Dimensional Data. Xiaoru Yuan, Donghao Ren, Zuchao Wang, and Cong Guo.  IEEE Information Visualization  (IEEE InfoVis 2013)
* Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data.  Andrada Tatu, Fabian Maaß, Ines Färber , Enrico Bertini, Tobias Schreck , Thomas Seidl, Daniel Keim.  (Proceedings of VAST 2012)
  • Henrique Ferraz de Arruda (slides [5] )
* Hadlak, S.; Schumann, H.; Cap, C. H. & Till, W.(2013),' Supporting the Visual Analysis of Dynamic Networks by Clustering associated Temporal Attributes.' in IEEE transactions on visualization and computer graphics.
* Gou, L.; Zhang, X. L.; Luo, A. & Anderson, P. F. (2012), 'SocialNetSense: Supporting sensemaking of social and structural features in networks with interactive visualization.', in 'IEEE VAST' , IEEE Computer Society, , pp. 133-142 
* Xu, K.; Rooney, C.; Passmore, P.; Ham, D.-H. & Nguyen, P. (2012), 'A User Study on Curved Edges in Graph Visualization.', IEEE Trans. Vis. Comput. Graph. 18 (12) , 2449-2456 .
* Landge, A. G.; Levine, J. A.; Bhatele, A.; Isaacs, K. E.; Gamblin, T.; Schulz, M.; Langer, S. H.; Bremer, P.-T. & Pascucci, V. (2012), 'Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations.', IEEE Trans. Vis. Comput. Graph. 18 (12) , 2467-2476 .
  • Rafael U. Nakanishi (slides [6] )
* iTree: Exploring Time-Varying Data using Indexable Tree
* RankExplorer: Visualization of Ranking Changes in Large Time Series Data
* Temporal Event Sequence Simplification
* Visual Analytics for Model Selection in Time Series Analysis
* Visualizing changes over time in datasets using dynamic hierarchies
  • Renato Fabbri (slides [7] )
* van den Elzen, Stef, et al. "Reordering massive sequence views: Enabling temporal and structural analysis of dynamic networks." Visualization Symposium (PacificVis), 2013 IEEE Pacific. IEEE, 2013.
* Hurter, C., O. Ersoy, and A. Telea. "Smooth Bundling of Large Streaming and Sequence Graphs."
* Koop, David, Juliana Freire, and Cláudio T. Silva. "Visual Summaries for Graph Collections."
* Crouser, R. Jordan, et al. "Exploring Agent-Based Simulations in Political Science Using Aggregate Temporal Graphs."
  • Hugo Armando Gualdron Colmenares (slides [8] )
* T. May, M. Steiger, J. Davey, and J. Kohlhammer, “Using Signposts for Navigation in Large Graphs,” Comput. Graph. Forum, vol. 31, no. 3pt2, pp. 985–994, 2012.
* T. Crnovrsanin, I. Liao, Y. Wu, and K.-L. Ma, “Visual Recommendations for Network Navigation,” Comput. Graph. Forum, vol. 30, no. 3, pp. 1081–1090, 2011.
* W. Zeng, C.-W. Fu, S. M. Arisona, and H. Qu, “Visualizing Interchange Patterns in Massive Movement Data,” Comput. Graph. Forum, vol. 32, no. 3pt3, pp. 271–280, 2013.
* S. Ghani, N. Elmqvist, and J. S. Yi, “Perception of Animated Node-Link Diagrams for Dynamic Graphs,” Comput. Graph. Forum, vol. 31, no. 3pt3, pp. 1205–1214, 2012.
* S. Ghani, N. H. Riche, and N. Elmqvist, “Dynamic Insets for Context-Aware Graph Navigation,” in Computer Graphics Forum, 2011, vol. 30, no. 3, pp. 861–870.
  • Lucas Pagliosa (slides [9] )
* imMens = Real-time Visual Querying of Big Data - EuroVis 2013
* Nanocubes for Real-Time Exploration of Spatiotemporal Datasets - ? 2013
* Reordering Massive Sequence Views: Enabling Temporal and Structural Analysis of Dynamic Networks.  - Pacific 2013
* Smooth Bundling of Large Streaming and Sequence Graphs - Pacific 2013
  • Leonardo Christino (slides [10] )
* ConnectomeExplorer: Query-Guided Visual Analysis of Large Volumetric Neuroscience Data http://vcg.seas.harvard.edu/files/pfister/files/connectome_explorer_beyer.pdf
* Dynamic Queries for Information Exploration: An Implementation and Evaluation http://www.cs.umd.edu/~ben/papers/Ahlberg1992Dynamic.pdf
* GPU-based Multi-Volume Rendering for the Visualization of Functional Brain Images http://fss.plone.uni-giessen.de/fss/fbz/fb06/psychologie/abt/kognition/dateien/rtfek_simvis06.pdf/file/rtfek_simvis06.pdf
* GigaVoxels: Ray-Guided Streaming for Efficient and Detailed Voxel Rendering http://maverick.inria.fr/Publications/2009/CNLE09/CNLE09.pdf

Material de Aula

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