Lecture 1 Introduction

Slides: pdf1; pdf2
Reading (Recreational):

• E.R. Tufte, The Visual Display of Quantitative Information, Graphics Press, 2nd edition, 2001. (local link)

Lecture 1b Inspiration

On your own, please listen to these inspiring lectures:

• Hans Rosling at TED 2006 and TED 2007
• Robert Krulwich at RadioLab

Lecture 2 Design Principles

Slides: pdf
Reading (Must):

• E.R. Tufte, The Visual Display of Quantitative Information, Graphics Press, 2nd edition, 2001. (local link)

• Robin Williams, "The non-designers design book design and typographic principles for the visual novice," Peachpit Press, 2004;
• Robin Williams, "The non-designer's presentation book principles for effective presentation design," Peachpit Press, 2010;
• Stephen Few, Show me the numbers : designing tables and graphs to enlighten, Analytics Press, 2004.

Lecture 3 Visualization Process

Slides: pdf
Reading (Must):

• J. Heer, S.K. Card, J.A. Landay, "prefuse: a toolkit for interactive information visualization," CHI 2005; see demo.avi

• Jarke J. van Wijk, "The Value of Visualization," IEEE Visualization 2005.

Lecture 4 Data Types, Sources, and Tasks

Slides: pdf
Reading (Must):

• Chapter 5 (Basic Data Representation): Schroeder et al., The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, Kitware, Clifton Park (local link)
• Ben Shneiderman, "The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations," 1996 IEEE Symposium on Visual Languages, 1996

• Chapter 3 (A Survey of Grid Generation Methodologies and Scientific Visualization Efforts): Nielson et al, Scientific Visualization, IEEE Computer Society Press, Los Alamitos, 1997, (local link)
• R.Amar, J.Eagan, J.Stasko, "Low-level components of analytic activity in information visualization,", InfoVis 2005.

Lecture 5 Visual Mappings

Slides: pdf
Reading (Must):

• Ware, Information Visualization: Perception for Design, Morgan Kaufmann; (Google Link)
  • Chapter 4: Color
  • Chapter 5: Visual Attention and Information that Pops Out
• J. Mackinlay, "Automating the design of graphical presentations of relational information", ACM ToG, 5(2), 110-141, 1986

• Chris Stolte, Diane Tang, Pat Hanrahan, "Polaris: a system for query, analysis, and visualization of multidimensional databases," Commun. ACM, ACM, 2008, 51, 75-84. (link to older version).
• Chapter 1 (Overview of Visualization): Johson+Hansen, The Visualization Handbook,

Visualization Critiques

Going through the results of assignment 1.

Lecture 6 Scalar Data

Slides: pdf
Reading (Must):

• Engel et al., "Real-time Volume Graphics", AK Peters, 2006; (Google Link)
  • Chapter 4 (Transfer Functions)
  • Chapter 10 (Transfer Functions Reloaded)
  • Chapter 5 (Local Volume Illumination)

• Johson+Hansen, The Visualization Handbook, (local link)
  • Chapter 9 (Multidimensional Transfer Functions for Volume Rendering)
• Marc Levoy, "Display of Surfaces from Volume Data", IEEE Computer Graphics and Applications, 8(3), 29-37, 1988

Lecture 7 Isosurfaces

Slides: pdf
Reading (Must):

• Johson+Hansen, The Visualization Handbook, (local link)
  • Chapter 2 (Accelerated Isosurface Extraction Techniques)

• Schroeder et al, The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, Kitware, Clifton Park
  • Chapter 6.2 (Fundamental Algorithms - Scalar Algorithms)
  • Chapter 9.1 (Advanced Algorithms - Scalar Algorithms)
• Johson+Hansen, The Visualization Handbook, (local link)
  • Chapter 3 (Time-Dependent Isosurface Extraction)
• William E. Lorensen and Harvey E. Cline, Marching Cubes: A High Resolution 3D Surface Construction Algorithm, Computer Graphics (Proceedings of SIGGRAPH 87), 21 (4), pp. 163-169 (July 1987, Anaheim, California).

Lecture 8 Volume Rendering

Slides: pdf
Reading (Must):

• Engel et al., "Real-time Volume Graphics", AK Peters, 2006; (Google Link)
  • Chapter 1 (Theoretical Background and Basic Approaches)
  • Chapter 9 (Improving Image Quality)

• Johson+Hansen, The Visualization Handbook, (local link)
  • Chapter 7 (Overview of Volume Rendering)
  • Chapter 8 (Volume Rendering Using Splatting)
  • Chapter 10 (Pre-Integrated Volume Rendering)
  • Chapter 11 (Hardware-Accelerated Volume Rendering)
• Engel et al., "Real-time Volume Graphics", AK Peters, 2006; (Google Link)
  • Chapter 3 (Basic GPU-Based Volume Rendering)
  • Chapter 7 (GPU-Based Ray Casting)

Lecture 9 Vector Visualization

Slides: pdf
Reading (Must):

• Johson+Hansen, The Visualization Handbook,
  • Chapter 12 (Overview of Flow Visualization)
  • Chapter 17 (Topological Methods for Flow Visualization)

• Johson+Hansen, The Visualization Handbook,
  • Chapter 13 (Flow Textures)
• Chapter 14 (Particle Tracing Algorithms for 3D Curvilinear Grids): Nielson et al, Scientific Visualization, IEEE Computer Society Press, Los Alamitos, 1997,

Lecture 10 Tensor Visualization

Slides: pdf
Reading (Must):

• Johson+Hansen, The Visualization Handbook,
  • Chapter 15 (Oriented Tensor Reconstruction)
  • Chapter 16 (Diffusion Tensor MRI Visualization)

Project Proposals + Updates

Link to Project Details
Link to Project Pages
Link to Presentations

Lecture 11 Design Studies

Slides: pdf
Reading (Must):

• van Wijk + van Selow, Cluster and Calendar based Visualization of Time Series Data,, InfoVis 1999
• Munzner, A Nested Model for Visualization Design and Validation, TVCG/InfoVis 2009.

• Meyer et al., MizBee: A Multiscale Synteny Browser, TVCG/InfoVis 2009. (see video)
• Weaver et al., Visual Exploration and Analysis of Historic Hotel Visits, Journal of InforVis, Feb 2007. (see video)
• Munzner, Constellation: Linguistic Semantic Networks, PhD Thesis 2000
• van Ham, Using Multilevel Call Matrices in Large Software Projects, InfoVis 2003

Lecture 12 Perception + Color

Slides: pdf
Reading (Must):

• Ware, Information Visualization: Perception for Design, Morgan Kaufmann; (Google Link)
  • Chapter 3: Lightness, brightness, contrast, and constancy
  • Chapter 4: Color
  • Chapter 5: Visual Attention and Information that Pops Out
  • Chapter 6: Static and Moving Patterns
• E.R. Tufte, Envisioning Information, Graphics Press, 1990. (local link)
  • Chapter 5: Color and Information

• Mareen C. Stone: A Field Guide to Digital Color
• Margaret S. Livingstone: What Art Can Tell Us About the Brain (Vis 2008 keynote)

Lecture 13 Space/Order

Slides: pdf
Reading (Must):

• E.R. Tufte, Envisioning Information, Graphics Press, 1990. (local link)
  • Chapter 4: Small Multiples
  • Chapter 6: Narratives of Space and Time
• Mary Hegarty: Representations in the Mind and in the World: How Cognitive Science Can Inform the Design of Visualizations (Vis 2010 keynote)

• Ramana Rao and Stuart K. Card, The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus + Context Visualization for Tabular Information SIGCHI '94, pp. 318-322, 1994.
• R. A. Becker, W. S. Cleveland, and M. J. Shyu The Visual Design and Control of Trellis Display, Journal of Computational and Statistical Graphics, 5:123-155, 1996.
• Daniel A. Keim and Hans-Peter Kriegel, VisDB: Database Exploration using Multidimensional Visualization, IEEE CG&A, 1994
• Barbara Tversky, Julie Morrison, Mireille Betrancourt, Animation: Can It Facilitate?, International Journal of Human Computer Studies 57:4, pp 247-262, 2002.

Lecture 14 Depth + Occlusion

Slides: pdf
Reading (Must):

• Ware, Information Visualization: Perception for Design, Morgan Kaufmann; (Google Link)
  • Chapter 8: Space Perception and the Display of Data in Space
• E.R. Tufte, Envisioning Information, Graphics Press, 1990. (local link)
  • Chapter 3: Layering and Separation

Lecture 15 High-Dimensional Data

Slides: pdf
Reading (Must):

• Ware: pp. 381-383 (multidimensional scaling), 348 (parallel coordinates), 182-185 (glyphs).
• Yang, Peng, Ward, Rundensteiner, Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration Of High Dimensional Datasets, InfoVis 2003

• Edward J. Wegman, Hyperdimensional Data Analysis Using Parallel Coordinates, Journal of the American Statistical Association, Vol. 85, No. 411 (Sep., 1990), pp. 664-675.
• Richard Holbrey, Dimension Reduction Algorithms for Data Mining and Visualization, Techreport 2006.

Lecture 16 Graphs + Trees

Slides: pdf
Reading (Must):

• Herman, Melancon, Marshall, Graph Visualisation and navigation in information visualisation: a survey, IEEE Transactions on Visualization and Computer Graphics, 6(1), pp. 24-44, 2000
• Frank van Ham, Using Multilevel Call Matrices in Large Software Projects, Proc InfoVis 2003, pp. 227-232.

• Jack J. van Wijk and Huub van de Wetering, Cushion Treemaps, Proc InfoVis 1999, pp. 73-78
• Ka-Ping Yee, Danyel Fisher, Rachna Dhamija, and Marti Hearst, Animated Exploration of Graphs with Radial Layout, Proc InfoVis 2001. (see video)
• Yaniv Frishman and Ayellet Tal, Online Dynamic Graph Drawing Proc EuroVis 2007, 75-82. (see video)
• Frank van Ham and Bernice E. Rogowitz, Perceptual Organization in User-Generated Graph Layouts, IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2008), 14, 1333 -1339.

Lecture 17 Interaction; Navigation+Zoom

Slides: pdf
Reading (Must):

• Ware, Information Visualization: Perception for Design, Morgan Kaufmann; (Google Link)
  • Chapter 10: Interacting with visualizations
  • Chapter 11: Thinking with visualizations
• E.R. Tufte, Envisioning Information, Graphics Press, 1990. (local link)
  • Chapter 2: Micro/Macro Readings

• Ben Bederson, and James D Hollan, Pad++: A Zooming Graphical Interface for Exploring Alternate Interface Physics, Proc UIST 94.
• George Furnas and Ben Bederson, Space-Scale Diagrams: Understanding Multiscale Interfaces, Proc SIGCHI '95.
• Takeo Igarashi and Ken Hinckley, Speed-Dependent Automatic Zooming for Browsing Large Documents, Proc. UIST'00, pp. 139-148.
• Jack J. van Wijk and Wim A.A. Nuij, Smooth and Efficient Zooming and Panning., Proc. InfoVis 2003, p. 15-22

Lecture 18 Focus + Context
Guest lecture by Tamara Munzner

Slides: pdf
Reading (Must):

• Andy Cockburn, Amy Karlson, and Benjamin B. Bederson, A review of overview+detail, zooming, and focus+context interfaces, ACM Computing Surveys 41(1), 2008.
• Munzner, H3: Laying Out Large Directed Graphs in 3D Hyperbolic Space, Proc InfoVis 97.

• Lamping and Rao, The Hyperbolic Browser: A Focus + Context Technique for Visualizing Large Hierarchies, Proc SIGCHI '95.
• Leung and Apperley, A review and taxonomy of distortion-oriented presentation techniques, ACM Transactions on Computer-Human Interaction, Vol. 1, No. 2, June 1994, pp. 126-160.

Lecture 19 Evaluation
Guest lectures by Michael Sedlmair

Slides: pdf
Reading (Must):

• Ware, Information Visualization: Perception for Design, Morgan Kaufmann; (Google Link)
  • Appendix C: The perceptual evaluation of visualization techniques and systems
• Carpendale, Evaluating Information Visualizations, Chapter in book "Information Visualization: Human-Centered Issues and Perspectives", pp. 19-45, 2008.

• Ben Shneiderman, Catherine Plaisant, Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies, BELIV '06 Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization.
• S. Daly, "The Visible Difference Predictor: An Algorithm for the assessment of Image Fidelity" Digital Images and Human Vision, Cambridge, MA, pp. 179-206, 1993
• J. Lubin, "A visual discrimination model for imaging system design and evaluation" Vision models for target detection and recognition, World Scientific, NJ, pp. 245-283, 1995

Student Presentations 1 (Nov 15)

• Andrew Top - Color in science: slides
  • chosen: Representing Colors as Three Numbers, Maureen Stone, Computer Graphics and Applications, 25(4), July 2005, pp. 78-85.
  • How Not to Lie with Visualization, Bernice E. Rogowitz and Lloyd A. Treinish, Computers In Physics 10(3) May/June 1996, pp 268-273.
  • chosen: Why Should Engineers and Scientists Be Worried About Color? Bernice E. Rogowitz and Lloyd A. Treinish.
  • Color use guidelines for data representation C. Brewer, 1999.
  • Face-based Luminance Matching for Perceptual Colormap Generation, Gordon Kindlmann, Erik Reinhard, and Sarah Creem, Proc. Vis 2002, [Software]
  • Rainbow Color Map (Still) Considered Harmful, David Borland and Russell M. Taylor II, CG&A, March/April 2007 (vol. 27 no. 2), pp. 14-17
• Sieun Lee - Transfer functions: slides; video
  • chosen: Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets, Joe Kniss, Gordon Kindlmann, and Charles Hansen, IEEE Visualization, pp. 255-262, 2001
  • Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications Gordon Kindlmann, Ross Whitaker, Tolga Tasdizen, Torsten Möller Proceedings of IEEE Visualization 2003 (Vis03), pp. 513-520, Seattle, October 2003.
  • The contour spectrum, Chandrajit Bajaj, Valerio Pascucci, and Daniel Schikore, Proceedings of IEEE Visualization 1997, pages 167 - 173.
  • The transfer function bake-off, Hanspeter Pfister, Bill Lorensen, Chandrajit Bajaj, Gordon Kindlmann, Will Schroeder, Lisa S. Avila, Raghu K. Machiraju, and Jinho Lee, CG&A, May/June 2001 (vol. 21 no. 3), pp. 16-22
  • Fast detection of meaningful isosurfaces for volume data visualization, Vladimir Pekar, Rafael Wiemker, Daniel Hempel, Proceedings of IEEE Visualization 2001, pages 223 - 230.
  • chosen: Mastering Transfer Function Specification by using VolumePro Technology Andreas H. König and Eduard Gröller, Proceedings of the 17th Spring Conference on Computer Graphics (SCCG'01), Budmerice, Slovakia, IEEE, April 2001, pp. 279-286
  • Curvature-Based Transfer Functions for Direct Volume Rendering, Jiri Hladuvka, Andreas H. König and Eduard Gröller, In Spring Conference on Computer Graphics 2000, vol. 16, 58-65.
• Mike Phillips - Visualization of parameter spaces: slides
  • chosen: Result-Driven Exploration of Simulation Parameter Spaces for Visual Effects Design, Stefan Bruckner, Torsten M&oml;ller, IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2010), vol. 16, no. 6, pp. 1467--1475, Nov.-Dec. 2010 (Supplementary Video)
  • World Lines, Jürgen Waser, Raphael Fuchs, Hrvoje Ribičić, Benjamin Schindler, Günter Blöschl, Eduard Gröller, IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2010), vol. 16, no. 6, Nov.-Dec. 2010.
  • HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation, Harald Piringer, Wolfgang Berger, Jürgen Krasser, Computer Graphics Forum (EuroVis 2010).
  • The grand tour: a tool for viewing multidimensional data, Daniel Asimov, SIAM Journal on Scientific and Statistical Computing, Volume 6 Issue 1, Jan. 1985
  • chosen: Design galleries: a general approach to setting parameters for computer graphics and animation, J. Marks et al., SIGGRAPH '97.

Student Presentations 2 (Nov 17)

• Mengting Sun - Interaction / Focus + Context: slides
  • High interaction graphics, Stephen G. Eick and Graham J. Wills, European Journal of Operational Research, 81:445-459, 1995. [NicheWorks home page]
  • Worlds within Worlds: Metaphors for Exploring N-Dimensional Virtual Worlds, Steven Feiner and Carl Beshers, UIST 1990, pp 76-83.
  • Interactive Visualization of Genealogical Graphs, Michael J. McGuffin and Ravin Balakrishnan, Proc. InfoVis 2005.
    movie
  • Fisheyes Are Good for Large Steering Tasks, Carl Gutwin and Amy Skopik, CHI 2003.
  • Keeping things in context: a comparative evaluation of focus plus context screens, overviews, and zooming, Patrick Baudisch, Nathaniel Good, Victoria Bellotti, and Pamela Schraedley. CHI 2002.
  • chosen: A Comparison of Traditional and Fisheye Radar View Techniques for Spatial Collaboration, Wendy A. Schafer and Doug A. Bowman, Graphics Interface 2003.
  • Using Distortion-Oriented Displays to Support Workspace Awareness, Saul Greenberg, Carl Gutwin, Andy Cockburn, Proc. HCI'96 Conference on People and Computers XI, 1996, p.299-314.
  • Overview Use in Multiple Visual Information Resolution Interfaces, Heidi Lam, Tamara Munzner, and Robert Kincaid, Proc. InfoVis 2007, published as IEEE TVCG, Nov/Dec 2007.
  • chosen: Evaluation of Semantic Fisheye Zooming to Provide Focus+Context, Andrew J. Afram, John Briedis, Daisuke Fujiwara, Robert J.K. Jacob, Caroline G.L. Cao, and David Kahle, Human Factors and Ergonomics Society 51st Annual Meeting, 2007, pp. 459-463.
  • An Improved Fisheye Zoom Algorithm for Visualizing and Editing Hierarchical Models, Tobias Reinhard, Silvio Meier, and Martin Glinz, Second International Workshop on Requirements Engineering Visualization, 2007.
• Yuyi Zhou - Animation: slides, movie 1, movie 2,
  • chosen: Animation: Can It Facilitate? Barbara Tversky, Julie Morrison, Mireille Betrancourt, International Journal of Human Computer Studies 57:4, pp 247-262, 2002.
  • Principles of Traditional Animation Applied to Computer Animation, John Lasseter, Proceedings of SIGGRAPH 87, Computer Graphics, 21(4), pp. 35-44, July 1987.
    Illustrations of 11 Principles
  • chosen: Interactive Visualization of Genealogical Graphs, Michael J. McGuffin, Ravin Balakrishnan. Proc. InfoVis 2005, pp 17-24.
  • EdgeLens: An Interactive Method for Managing Edge Congestion in Graphs, Nelson Wong, M. Sheelagh T. Carpendale, Saul Greenberg, Proc. InfoVis03, pp 51-58.
• Rui Yang - High-Dimensional Data Analysis: slides
  • A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data, Seo and Shneiderman, Information Visualization, Vol. 4, No. 2, pp. 99-113, 2005.
  • Coordinating Computational and Visualization Approaches for Interactive Feature Selection and Multivariate Clustering, Guo, Information Visualization, 2(4): 232-246.
  • Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets, Jing Yang, Wei Peng, Matthew O. Ward and Elke A. Rundensteiner, Proc. IEEE Symposium on Information Visualization 2003, pp 105 - 112.
  • Value and relation display for interactive exploration of high dimensional datasets, J. Yang, A. Patro, S. Huang, N. Mehta, M. Ward, and E. Rundensteiner, Proc. IEEE Symposium on Information Visualization, pp. 73--80, 2004.
  • chosen: Clutter reduction in multi-dimensional data visualization using dimension reordering, W. Peng, M. Ward, and E. Rundensteiner, Proc. IEEE Symposium on Information Visualization, pp. 89--96, 2004.
  • chosen: Hifocon: Object and Dimensional Coherence and Correlation in Multidimensional Visualization, Soon Tee Teoh and Kwan-Liu Ma, Proc. International Symposium on Visual Computing 2005, pp. 235-242.
  • Polaris: a system for query, analysis, and visualization of multidimensional databases, Stolte, C., Tang, D., and Hanrahan, P. Commun. ACM 51, 11 (Nov. 2008), 75-84.
  • Selecting good views of high‐dimensional data using class consistency, Mike Sips, Boris Neubert, John P. Lewis, Pat Hanrahan, Computer Graphics Forum (Proc. EuroVis'09), Volume 28, Issue 3, pages 831–838, June 2009.
  • DimStiller: Workflows for dimensional analysis and reduction, Stephen Ingram, Tamara Munzner, Veronika Irvine, Melanie Tory, Steven Bergner, Torsten Möller, Proceedings of the 5th IEEE Conference on Visual Analytics in Science and Technology (VAST) 2010, pp. ???--???, October 2010. (Supplementary Video)
  • Dimensional Anchors: a Graphic Primitive for Multidimensional Multivariate Information Visualizations, Patrick Hoffman, Georges Grinstein, and David Pinkney, Proc. Workshop on New Paradigms in Information Visualization and Manipulation, Nov. 1999, pp. 9-16.

Student Presentations 3 (Nov 22)

• Stephen Cheung - Navigation / Zooming: slides; video
  • Smooth and Efficient Zooming and Panning, Jack J. van Wijk and Wim A.A. Nuij, Proc. InfoVis 2003, pp. 15-22.
  • Zooming versus multiple window interfaces: Cognitive costs of visual comparisons, Matthew Plumlee and Colin Ware. ACM Trans. Comput.-Hum. Interact. 13(2): 179-209 (2006)
  • Pad++: A Zooming Graphical Interface for Exploring Alternate Interface Physics, Ben Bederson, and James D Hollan, Proc UIST 94.
  • Constant Information Density in Zoomable Interfaces, Allison Woodruff, James Landay, Michael Stonebraker, Proceedings of AVI '98, pp. 57-65.
  • chosen: Domain Name Based Visualization of Web Histories in a Zoomable User Interface, R. Gandhi, G. Kumar, B. Bederson and B. Shneiderman, Proceedings of the Second International Workshop on Web-based Information Visualization (WebVis'00), pages 591-598, Sep. 2000.
  • Effective View Navigation, George W. Furnas, Proc. SIGCHI 97, pp. 367-374.
  • Critical Zones in Desert Fog: Aids to Multiscale Navigation, Susanne Jul and George W. Furnas, Proc. UIST 98
  • chosen: Speed-Dependent Automatic Zooming for Browsing Large Documents, Takeo Igarashi and Ken Hinckley, Proc. UIST'00, pp. 139-148.
• Shuya Yao - Bioinformatics Vis: slides
  • chosen: ABySS-Explorer: Visualizing Genome Sequence Assemblies, C.B. Nielsen, S.D. Jackman, I. Birol, S.J.M. Jones, IEEE Transactions on Visualization and Computer Graphics (Proc. Vis/InfoVis 2009) 15(6) (Nov-Dec) 2009, pp. 881-888.
  • Cerebral: Visualizing Multiple Experimental Conditions on a Graph with Biological Context, Aaron Barsky, Tamara Munzner, Jennifer L. Gardy, and Robert Kincaid, IEEE Transactions on Visualization and Computer Graphics (Proc. Vis/InfoVis 2008) 14(6) (Nov-Dec) 2008, pp. 1253-1260.
  • chosen: MizBee: A Multiscale Synteny Browser, Miriah Meyer, Tamara Munzner, and Hanspeter Pfister, IEEE Trans. Visualization and Computer Graphics 15(6) (Proc. Vis/InfoVis 2009), 15(6) (Nov-Dec) 2009, pp. 897-904.
  • TreeJuxtaposer: Scalable Tree Comparison using Focus+Context with Guaranteed Visibility, Tamara Munzner, Francois Guimbretiere, Serdar Tasiran, Li Zhang, and Yunhong Zhou. SIGGRAPH 2003. (video)
  • LGL: creating a map of protein function with an algorithm for visualizing very large biological networks, Adai AT, Date SV, Wieland S, Marcotte EM. J Mol Biol. 2004 Jun 25;340(1):179-90.
  • Interactive Exploration of Multidimensional Microarray Data: Scatterplot Ordering, Gene Ontology Browser, and Profile Search, Jinwook Seo and Ben Shneiderman. University of Maryland Compouter Science Department Technical Report 4486 (HCIL-2003-25), 2003.
  • BARD: A visualization tool for biological sequence analysis, Rhazes Spell, Rachael Brady, and Fred Dietrich. Proc. InfoVis 2003.
  • GeneVis: Visualization Tools for Genetic Regulatory Network Dynamics, C.A.H. Baker, M.S.T. Carpendale, M. Surette, P. Prusinkiewicz. Proc. Visualization 02, pages 243-250.
• Dante Peng - Music visualizations: slides
  • chosen: One-Touch Access to Music on Mobile Devices, Dominik Schnitzer, Tim Pohle, Peter Knees, and Gerhard Widmer, Proceedings of the 6th international conference on Mobile and ubiquitous multimedia, pp. 103-109, 2007
  • A Visual Interface to a Music Database, Robert St. Amant, James E. Blair, Patrick Barry, Y. Bentor, Christopher G. Healey, In Proceedings Advanced Visual Interfaces 2002 (Trento, Italy, 2002), pp. 85-88.
  • Mapping Music In The Palm Of Your Hand, Rob van Gulik, Fabio Vignoli, Huub van de Wetering, In Proceedings of ISMIR 2004.
  • Visualizing Musical Structure and Rhythm via Self-Similarity, Jonathan Foote and Matthew Cooper International Computer Music Conference Proceedings 2001.
  • chosen: Songexplorer: a tabletop application for exploring large collections of songs, C. F. Julia and S. Jorda, In Proc. of ISMIR 2009.

Student Presentations 4 (Nov 29)

• Anna Mewhort - Tree / Hierarchy: slides
  • Cone Trees: Animated 3D Visualizations of Hierarchical Information, George G. Robertson, Jock D. Mackinlay, Stuart K. Card, SIGCHI 1991
  • Multitrees: Enriching and reusing hierarchical structures, George W. Furnas and Jeff Zacks, SIGCHI 1994 , pp 330-336.
  • Polyarchy Visualization: Visualizing multiple intersecting hierarchies, George G. Robertson, Kim Cameron, Mary Czerwinski, and Daniel Robbins, Information Visualization, 1(1), p.50-65, 2002.
  • chosen: User Experiments with Tree Visualization Systems, Alfred Kobsa, Proc InfoVis 2004.
  • H3: Laying Out Large Directed Graphs in 3D Hyperbolic Space, Tamara Munzner, Proc InfoVis 97.
  • Cushion Treemaps. Jack J. van Wijk and Huub van de Wetering, Proc InfoVis 1999, pp 73-78.
  • chosen: Botanical Visualization of Huge Hierarchies, Ernst Kleiberg, Huub van de Wetering, and Jarke J. van Wijk Proc. InfoVis 2001, p 87-94.
• Amy Li - Text Vis: slides
  • chosen: The Chinese Room: Visualization and Interaction to Understand and Correct Ambiguous Machine Translation, Joshua Albrecht, Rebecca Hwa, G. Elisabeta Marai. EuroVis 2009.
  • DocuBurst: Visualizing Document Content using Language Structure, Christopher Collins, Sheelagh Carpendale, Gerald Penn. EuroVis 2009.
  • Participatory Visualization with Wordle, Fernanda B. Viegas, Martin Wattenberg, Jonathan Feinberg. InfoVis 2009.
  • Mapping Text with Phrase Nets, Frank van Ham, Martin Wattenberg, Fernanda B. Viegas
  • Visualizing Human Dialog, Annie Tat and Sheelagh Carpendale, Proc. Information Visualisation 2002 (IV 2002), pages 16-24, IEEE 2002.
  • ThemeRiver: Visualizing Thematic Changes in Large Document Collections, Susan Havre, Elizabeth Hetzler, Paul Whitney, Lucy Nowell. IEEE Transactions on Visualization and Computer Graphics, 8(1), pp 9-20, 2002.
  • InfoCrystal: A Visual Tool for Information Retrieval, Anselm Spoerri, IEEE Visualization '93
  • TileBars: Visualization of Term Distribution Information in Full Text Information Access, Marti Hearst, Proc. SIGCHI 1995, pp. 59-66.
  • Interactive Visualization of Multiple Query Results, S. Havre, E. Hetzler, K. Perrine, E. Jurrus, and N. Miller, Proc InfoVis 2001
  • TextArc: Showing Word Frequency and Distribution in Text, W. Bradford Paley. InfoVis 2002 Poster Compendium
  • Visualizing Human Dialog, Annie Tat and M. Sheelagh T. Carpendale. Proc. Conference on Information Visualization (IV London) 2002.
  • chosen: Visualizing Email Content: Portraying Relationships from Conversational Histories, Fernanda B. Villegas, Scott Golder, and Judith Donath, Proc. SIGCHI 2006.
• Godfrey Chan - Social Network Vis: slides; video
  • chosen: Vizster: Visualizing Online Social Networks, Jeffrey Heer and Danah Boyd, InfoVis 2005. (Video)
  • Visualizing Social Groups, Linton C. Freeman, American Statistical Association, 1999 Proceedings of the Section on Statistical Graphics, 2000, 47-54.
  • Visualizing Social Networks, Linton C. Freeman, Journal of Social Structure, 1, 2000, (1).
  • chosen: Social Network Fragments, Chap 7, Danah Boyd, MS Thesis "Faceted Id/entity: Managing representation in a digital world".
  • Online Dynamic Graph Drawing, Yaniv Frishman and Ayellet Tal, Proc EuroVis 2007, 75-82.
• Vincent Cua - Glyphs: slides
  • chosen: Visualizing Multi-dimensional Clusters, Trends, and Outliers using Star Coordinates, Eser Kandogan, Proc. KDD 2001
  • chosen: StarClass: Interactive Visual Classification Using Star Coordinates, Soon Tee Teoh and Kwan-Liu Ma, Proc. SIAM International Conference on Data Mining, 2003.
  • A Taxonomy of Glyph Placement Strategies for Multidimensional Data Visualization, Matthew O. Ward, Information Visualization Journal, Palgrave, Volume 1, Number 3-4, December 2002, pp 194-210.
  • Glyphs for Software Visualization, Mei C. Chuah and Stephen G. Eick, Bell Laboratories 5th International Workshop on Program Comprehension (WPC '97).
  • Multivariate Glyphs for Multi-Object Clusters, Eleanor Chlan and Penny Rheingans. Proc InfoVis 2005, pp. 141-148, 2005.

Student Presentations 5 (Dec 01)

• Alireza Ghane - Flow Vis: slides
  • chosen: The 'parallel vectors' operator: a vector field visualization primitive, Ronald Peikert, Martin Roth, Proc. IEEE Visualization 1999.
  • Distinguished material surfaces and coherent structures in three-dimensional fluid flows, G. Haller, Physica D: Nonlinear Phenomena, Volume 149, Issue 4, 1 March 2001, Pages 248-277.
  • Identification of swirling flow in 3D vector fields, David Sujudi, Robert Haimes, 12th AIAA Computational Fluid Dynamics Conference and Open Forum, pp. 792-799, 1995.
  • chosen: On the identification of a vortex, Journal of Fluid Mechanics (1995), 285: 69-94 Cambridge University Press
• Shahrzad Afroozeh - Perception: slides
  • Stevens Dot Patterns for 2D Flow Visualization, Laura G. Tateosian, Brent M. Dennis, and Christopher G. Healey, Proc. Applied Perception in Graphics and Visualization (APGV) 2006.
  • Visualizing Data with Motion, Daniel E. Huber and Christopher G. Healey, Proc. IEEE Visualization 2005, pp. 527-534.
  • chosen: Internal vs. External Information in Visual Perception Ronald A. Rensink, Proc. 2nd Int. Symposium on Smart Graphics, pp 63-70, 2002.
  • chosen: Current approaches to change blindness, Daniel J. Simons, Visual Cognition 7, 1/2/3 (2000), 1-15.
  • Why a Diagram is (Sometimes) Worth Ten Thousand Words, Larkin, J. and Simon, H.A., Cognitive Science, Vol. 11, No. 1, pp. 65-99, 1987.
  • Face-based Luminance Matching for Perceptual Colormap Generation, Gordon Kindlmann, Erik Reinhard, and Sarah Creem, Proc. Vis 2002. [Software]
  • Using Haptics to Convey Cause-and-Effect Relations in Climate Visualization, Nesra Yannier, Cagatay Basdogan, Serdar Tasiran, and Omer Lutfi Sen, IEEE Transactions on Haptics 1(2):130-141, 2008.
• Ehsan Shokrgozar - Time Series: slides
  • Interactive Pattern Search in Time Series, Buono, P., Aris, A., Plaisant, C., Khella, A. and Shneiderman, B. Proc. VDA 2005.
  • chosen: Interactive Visualization of Serial Periodic Data, John V. Carlis and Joseph A. Konstan, Proc UIST 98.
  • Time-series Bitmaps: A Practical Visualization Tool for working with Large Time Series Databases, Kumar N., Lolla N., Keogh E., Lonardi S., Ratanamahatana C. A. and Wei L., Proc. SDM '05, pp. 531-535.
  • chosen: A Fast Volume Rendering Algorithm for Time-Varying Fields Using a Time-Space Partitioning (TSP) Tree, Han-Wei Shen, Ling-Jen Chiang, Kwan-Liu Ma, Proc. IEEE Visualization 1999.
  • Visualization of Time-Varying Volumetric Data using Differential Time-Histogram Table, Hamid Younesy, Torsten Möller, Hamish Carr, Workshop on Volume Graphics 2005 (VG05), pp. 21-29, Stony Brook, NY, June 2005.
  • Visualization and Exploration of Spatio-temporal Medical Image Data Sets, Zhe Fang, Torsten Möller, Ghassan Hamarneh, Anna Celler, Graphics Interface 2007, pp. 281-288, Montreal, May 2007.
  • Simultaneous classification of time-varying volume data based on the time histogram, Hiroshi Akiba, Nathaniel Fout, and Kwan-Liu Ma, In Proc. of EuroVis 2006.

Student Presentations 6 (Dec 03)

• Thomas Torsney-Weir - Uncertainty Visualization: slides
  • ProbExplorer: Uncertainty-guided Exploration and Editing of Probabilistic Medical Image Segmentation, Ahmed Saad, Torsten Möller, Ghassan Hamarneh, Computer Graphics Forum (Proceedings of Eurographics/IEEE-VGTC Symposium on Visualization 2010 (EuroVis 2010)), vol. 29, no. 3, pp. 1113-1120, Bordeaux, France, June 2010. < href="http://www.cs.sfu.ca/~torsten/Publications/Papers/ev10-2_supp.wmv">(Supplementary Video)
  • Statistically quantitative volume visualization, Joe M. Kniss, Robert Van Uitert, Abraham Stephens, Guo-Shi Li, Tolga Tasdizen, Charles Hansen, Proceedings of IEEE Visualization (2005), pp. 287–294.
  • chosen: Point-based probabilistic surfaces to show surface uncertainty, G. Grigoryan, Penny Rheingans, IEEE Transaction on Visualization and Computer Graphics 10, 5 (2004), 564–573.
  • Uncertainty visualization in medical volume rendering using probabilistic animation, Clas Lundstrom, Patrick Ljung, Anders Persson, Anders Ynnerman, IEEE Transaction on Visualization and Computer Graphics 13, 6 (2007), 1648–1655.
  • Flow-based Scatterplots for Sensitivity Analysis, Yu-Hsuan Chan, Carlos D. Correa, Kwan-Liu Ma Proc. IEEE Conference on Visual Analytics Science and Technology 2010.
  • chosen: Continuous scatterplots, Sven Bachthaler, Daniel Weiskopf, IEEE Transaction on Visualization and Computer Graphics 14, 6 (2008), 1428-1435.
• Vivek Mahajan - Learning of Parameter Spaces: slides
  • Active Preference Learning with Discrete Choice Data, Eric Brochu, Nando De Freitas, Abhijeet Ghosh, NIPS 2007.
  • chosen: Efficient Global Optimization of Expensive Black-Box Functions, Jones, Donald R.; Schonlau, Matthias and Welch, William J. Journal of Global Optimization, Kluwer Academic Publishers, 1998, 13, 455-492.
  • chosen: Sequential Experiment Design for Contour Estimation from Complex Computer Codes, Ranjan, P., Bingham, D. and Michailidis, G. Technometrics, 50, 527-541, 2008.
  • A Data-Driven Reflectance Model, Wojciech Matusik, Hanspeter Pfister, Matt Brand, and Leonard McMillan, ACM Transactions on Graphics. 22(3) 2002.
• Mirza Duric - SofVis: slides
  • chosen: Visualizing Compiled Executables for Malware Analysis Daniel A. Quist and Lorie M. Liebrock, VizSec 2009.
  • Visualizing Application Behavior on Superscalar Processors Chris Stolte, Robert Bosch, Pat Hanrahan, and Mendel Rosenblum, Proc. InfoVis 1999
  • Software Visualization in the Large Thomas A. Ball and Stephen G. Eick, IEEE Computer 29(4):33-43, 1996
  • Execution Patterns in Object-Oriented Visualization Wim De Pauw, David Lorenz, John Vlissides, and Mark Wegman, Proc. Conference on Object-Oriented Technologies and Systems (COOTS '98)
  • Strata-Various :-) Multi-Layer Visualization of Dynamics in Software System Behavior Doug Kimelman, Bryan Rosenburg, Tova Roth. Proc. Visualization 1994
  • CVSscan: Visualization of Code Evolution Lucian Voinea, Alex Telea, and Jarke J. van Wijk, Proc. SoftVis 2005, p 47-56.
  • Visually Encoding Program Test Information to Find Faults in Software, James Eagan and Mary Jen Harrold and James A. Jones and John Stasko, Proc InfoVis 2001 pp. 33-36.
  • chosen: Visualization of Program-Execution Data for Deployed Software, Alessandro Orso, James Jones, Mary Jean Harrold, Proc. of the ACM Symp. on Software Visualization, San Diego, CA, June 2003, pages 67--76.

Student Presentations 7 (Dec 06)

• Ning Tang - Vis on small screens: slides
  • chosen: Summary Thumbnails: Readable Overviews for Small Screen Web Browsers, Heidi Lam and Patrick Baudisch. Proc. CHI 2005, 681-690.
  • chosen: Automatic Text Reduction For Changing Size Constraints, Good, L., Bederson, B., Stefik, M., and Baudisch, P. In CHI 2002 Extended Abstracts (Short paper), pp. 798-799.
  • Halo: A Technique for Visualizing Off-Screen Locations. Patrick Baudisch and Ruth Rosenholtz, Proc. CHI 2003, pp. 481-488.
  • Spatial interactive visualization on small screen, Tero Hakala, Juha Lehikoinen, Antti Aaltonen, Proc. 7th international conference on Human computer interaction with mobile devices & services, 2005.
• Jia Sun - Datamining / High-D: slides
  • DataJewel: Tightly Integrating Visualization with Temporal Data Mining, Mihael Ankerst, David H. Jones, Anne Kao, Changzhou Wang, ICDM Workshop on Visual Data Mining, Melbourne, FL, 2003.
  • DEVise: Integrated Querying and Visual Exploration of Large Datasets, Miron Livny, Raghu Ramakrishnan, Kevin Beyer, Guangshun Chen, Donko Donjerkovic, Shilpa Lawande, Jussi Myllymaki, and Kent Wenger, Proc. SIGMOD 1997.
  • chosen: Multiscale Visualization Using Data Cubes, Chris Stolte, Diane Tang and Pat Hanrahan, Proc. InfoVis 2002.
  • Tioga-2: A Direct Manipulation Database Visualization Environment, Alexander Aiken, Jolly Chen, Michael Stonebraker, and Allison Woodruff, Proc. International Conference on Data Engineering, pp. 208-217, 1996.
  • chosen: Query, Analysis, and Visualization of Hierarchically Structured Data using Polaris, Chris Stolte, Diane Tang and Pat Hanrahan, Proc. SIGKDD 2002.
• Bowen Zhang - Computer Networks: slides
  • Visualizing Network Data Richard A. Becker, Stephen G. Eick, Allan R. Wilks, IEEE Trans. Visualization and Computer Graphics (TVCG) Vol 1 No 1, March 1995, pp 16-28.
  • Visualizing Large-Scale Telecommunication Networks and Services, Eleftherios Koutsofios, Stephen C. North, Russell Truscott, Daniel A. Keim, Proc IEEE Visualization 1999, pp 457-461.
  • Countering Security Analyst and Network Administrator Overload Through Alert and Packet Visualization, G. Conti, K. Abdullah, J. Grizzard, J. Stasko, J. Copeland, M. Ahamad, H. Owen and C. Lee, IEEE Computer Graphics and Applications (CG&A), March 2006.
  • Mapping and Visualizing the Internet, Bill Cheswick, Hal Burch, and Steve Branigan, USENIX, San Diego, CA, June 2000.
  • chosen: OverFlow: An Overview Visualization for Network Analysis, J. Glanfield, S. Brooks, T. Taylor, D. Paterson, C Smith, C. Gates, J. McHugh, VizSec 2009.
  • chosen: Countering Security Information Overload Through Alert and Packet Visualization, G. Conti, K. Abdullah, J. Grizzard, J. Stasko, J. Copeland, M. Ahamad, H. Owen and C. Lee. IEEE CG&A, 2006.