What is visualization really for? RIVIC Graduate School, Bangor, June 2013 Slides.

Other talks on this topic: St Annes College, Oxford (Feb. 2013); University of Utah (Oct. 2012); DH Briefing, Oxford (May 2012); Space Workshop, Harwell (Jan. 2011).

Why Does visual analytics work and what is the underlying theory? Workshop on Visualization in Complex Environments, Torino, November 2011.

Other talks on this topic: OCCAM, Oxford (Nov. 2011); Workshop on Information security as a Resource, Oxford (Oct. 2011).

Introduction to visualization, Systems Biology DTC, Oxford, October 2011

Other talks on this topic: OCCAM, Oxford (Nov. 2011); Workshop on Information security as a Resource, Oxford (Oct. 2011).

An information-theoretic framework for visualization, University of Swansea, March 2011

Other talks on this topic: OASIS, Oxford (Nov. 2012); VisWeek 2010, Salt Lake City (Oct. 2010); Purdue University (May 2010).

Visualization in Flatland, Digital Humanities Summer School, Oxford, July 2011.

Other talks on this topic: Microsoft Workshop Cambridge (Apr. 2012); OeRC, Oxford (July 2010); TPCG2009, Cardiff (June 2009); WSCG2009, Plzen (Feb. 2009).

Time-series visualization: Beyond line plots, Oxford MAN Institute, May 2012.

M. Chen, A. Trefethen, R. Banares-Alcantara, M. Jirotka, B. Coecke, T. Ertl and A. Schmidt, From data analysis and visualization to causality discovery, IEEE Computer, 44(10):84-87, 2011. DOI

Keywords: causality discovery technology, visual analytics, levels of causality reasoning, workflow for causality discovery.
Questions: Can we develop a causality discovery technology, and what will be the role of visual analysis in such a technology?

M. Chen and H. Jaenicke, An Information-theoretic Framework for Visualization, IEEE Transactions on Visualization and Computer Graphics, 16(6):1206-1215, 2010. DOI, VisWeek slides (4.6M).

Keywords: theory of visualization, information theory, data processing inequality, quantitative evaluation.
Question: Can information theory explain phenomena or events in visualization?

M. Chen, D. Ebert, H. Hagen, R. S. Laramee, R. van Liere, K.-L. Ma, W. Ribarsky, G. Scheuermann and D. Silver, Data, Information and Knowledge in Visualization, IEEE Computer Graphics and Applications, 29(1):12-19, 2009. DOI, Download PDF(0.2M)

Keywords: definitions, knowledge-assisted visualization, information-assisted visualization.
Questions: Is visualization a search problem? Will interaction scale with increasing data size? Should visualization evolve from interactive to knowledge-assisted visualization?

R. P. Botchen, S. Bachthaler, F. Schick, M. Chen, G. Mori, D. Weiskopf and T. Ertl, Action-based multi-field video visualization, IEEE Transactions on Visualization and Computer Graphics, 14(4):885-899, 2008. DOI

Keywords: video visualization, VideoPerpetuoGram (VPG).
Question: Can videos be visualized in a way similar to ECGs and seismographs?

O. Gilson, N. Silva, P.W. Grant and M. Chen, From web data to visualization via ontology mapping, Computer Graphics Forum, 27(3):959-966, 2008. Best Paper Award in EuroVis2008, Eindhoven. DOI, PDF(1M)

Keywords: ontology, automated visualization.
Question: Is automatic generation of visualizations from domain-specific data feasible?

D. Hubball, M. Chen and P. W. Grant, Image-based aging using evolutionary computing, Computer Graphics Forum, 27(2):607-616, 2008. DOI, PDF(0.5M)

Keywords: aging simulation, facial age progression, genetic programming, data-driven.
Question: Can we simulate facial aging in a person-specific manner?

M. Chen, R.P. Botchen, R.R. Hashim, D. Weiskopf, T. Ertl and I.M. Thornton, Visual signatures in video visualization, IEEE Transactions on Visualization and Computer Graphics, 12(5):1093-1100, 2006. DOI

Keywords: video visualization, visual signature, user study.
Question: Can ordinary people learn to recognise visual signatures in video visualization?

C. Correa, D. Silver and M. Chen, Feature aligned volume manipulation for illustration and visualization, IEEE Transactions on Visualization and Computer Graphics, 12(5):1069-1076, 2006. DOI

Keywords: illustrative visualization, interactive manipulation, volume deformation, GPU
Question: How to deform volumetric models according to features?

A. Abdul-Rahman and M. Chen, Spectral volume rendering based on the Kubelka-Munk theory, Computer Graphics Forum, 24(3), 2005, and presented in Eurographics 2005. DOI

Keywords: volume rendering integral, Kubelka-Munk theory, spectral rendering.
Question: Does Kubelka-Munk theory offer a better volume rendering integral?

G.W. Daniel and M. Chen, Video visualization, Proc. IEEE Visualization 2003, 409-416, Seattle, WA, October 2003. PDF(10M)

Keywords: video visualization, metrics for change detection and image comparison, horse-shoe visual design.
Question: Can we use a single image to visualize a video?

S. Treavett and M. Chen, Pen-and-Ink rendering in volume visualization, Proc. IEEE Visualization 2000, Salt Lake City, Utah, Ertl, Hamann and Varshney (eds.), 203-209, IEEE Computer Society, October, 2000. PDF(450K)

Keywords: non-photorealistic rendering (NPR), illustrative visualization, volume visualization.
Question: How to create an illustrative volume visualization using NPR?

M. Chen and J. V. Tucker, Constructive volume geometry, Computer Graphics Forum, 19(4):281-293, 2000. DOI, PDF(450K). See also vg.swan.ac.uk

Keywords: theoretic framework of multi-field volume rendering, volume scene graph, constructive volume geometry (CVG).
Question: How to model and render multiple volumes (scalar fields) in a constructive manner?