Min Chen, BSc (Fudan) PhD (Wales)


Oxford: From 1 may 2011, I started my new role as the professor of scientific visualization at Oxford e-Research Centre, Oxford University. My new contact details are:
Email: and please do not use m.chen@swansea.ac.uk as it does not work any more.
Telephone:    +44(0)1865 273880
Postal address:    Oxford e-Research Centre, University of Oxford, 7 Keble Road, Oxford OX1 3QG, UK
New URL:    http://www.oerc.ox.ac.uk/people/min-chen

Research Interests: Visualization and Computer Graphics (1987-present); Video Processing and Visualization (2003-present); Interactive Techniques and Multimedia Communications (1996-present); Computer-Aided Engineering (1984-1992).
Please visit the www pages of the Visual and Interactive Computing Group.
My biggest wish is to have more time for research, and I enjoyed my part-time research sabbatical in the 2005/2007 sessions.

Teaching Interests: Computer Graphics II (CS_307, 1995-2005, 2007-present with Dr. Mora); Computer Graphics Laboratory (CS_317, 2007-2010 with Dr. Mora); Volume Graphics (MRes CS_M17, 2007-present); State of the Art in Visual Computing (MRes CS_M97, 2007-present); Operating Systems (CS_228, 1991-2002); Data Communications and Computer Networks (CS_238, 1995-2002); Computer Graphics Algorithms (1992-1994); Introduction to Algorithms (1991-1993); Projects Supervision (CS_334/344, 1991-present, my favourite).
Students will be informed of a specific web address for course notes at the end of each module.

Administration: Acting (interim) head of department (09/2010-02/2011); Deputy head of department (10/2009-09/2010); Co-director of Wales Research Institute of Visual Computing (2009-present); Co-director of WDA-CETIC Centre for Computing and Software Technologies (2002-2009); Departmental Director of Research (1996-2005); Departmental Course Handbook (1996-2005); MPhil/PhD Admissions (1996-2001); Examination Secretary (1992, 1995).

Others: I had a perhaps naive suggestion for dealing with spams and junk emails using a two stage email transfer protocol. I would love to hear from experts as to whether it is workable and how it can be improved.

Curriculum Vitae: a short CV can be found here.

Academic and Research Positions at Swansea

Two acacdemic positions (senior lectureship or lectureship): Closing Date: 4 November 2010.

A Full List of Publications by Year | by Type | by Subject

A Selection of Publications

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).

Abstract. In this paper, we examine whether or not information theory can be one of the theoretic frameworks for visualization. We formulate concepts and measurements for qualifying visual information. We illustrate these concepts with examples that manifest the intrinsic and implicit use of information theory in many existing visualization techniques. We outline the broad correlation between visualization and the major applications of information theory, while pointing out the difference in emphasis and some technical gaps. Our study provides compelling evidence that information theory can explain a significant number of phenomena or events in visualization, while no example has been found which is fundamentally in conflict with information theory. ••• These findings suggest that further theoretic developments are necessary for adopting and adapting information theory for visualization.

R. Borgo, K. Proctor, M. Chen, H. Jaenicke, T. Murray and I. M. Thornton, Evaluating the impact of task demands and block resolution on the effectiveness of pixel-based visualization, IEEE Transactions on Visualization and Computer Graphics, 16(6):963-972, 2010. DOI.

Abstract. ••• In this work, we examined how the usability of such visual representations varied across different tasks and block resolutions. Stimuli consisted of temporal pixel-based visualization with a white-red color map, simulating monthly temperature variation over a six-year period. •••

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)

Abstract. In this article, we examine the definitions of "data", "information" and "knowledge" in the context of visualization. We differentiate these three terms in the computational space as well as the perceptual and cognitive Space. We argue that a visualization process is a search process, for which interactive visualization alone is no longer adequate. We introduce the concepts of "information-assisted visualization" and "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

Abstract. One challenge in video processing is to detect actions and events, known or unknown, in video streams dynamically. This paper proposes a visualization solution, where a video stream is depicted as a series of snapshots at a relatively sparse interval, and detected actions are highlighted with continuous abstract illustrations. The combined imagery and illustrative visualization conveys multifield information in a manner similar to electrocardiograms (ECGs) and seismographs. We thus name this type of video visualization as VideoPerpetuoGram (VPG). •••

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)

Abstract. In this paper, we propose a novel approach for automatic generation of visualizations from domain-specific data available on the web. We describe a general system pipeline that combines ontology mapping and probabilistic reasoning techniques. With this approach, a web page is first mapped to a Domain Ontology, which stores the semantics of a specific subject domain (e.g., music charts). The Domain Ontology is then mapped to one or more Visual Representation Ontologies, each of which captures the semantics of a visualization style (e.g., tree maps). •••

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)

Abstract. ••• In this paper, we focus on the hypothesis that the patterns of age progression (and regression) are related to the face concerned, as the latter implicitly captures the characteristics of gender, ethnic origin, and age group, as well as possibly the person-specific development patterns of the individual. We use a data-driven framework for automatic image-based facial transformation in conjunction with a database of facial images. We build a novel parameterized model for encoding age-transformation in addition with the traditional model for face description. We utilize evolutionary computing to learn the relationship between the two models. ••• In comparison with several different methods, it consistently provides the best results against the ground truth.

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

Abstract. Video visualization is a computation process that extracts meaningful information from original video data sets and conveys the extracted information to users in appropriate visual representations. This paper presents a broad treatment of the subject, following a typical research pipeline involving concept formulation, system development, a path-finding user study, and a field trial with real application data. •••

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

Abstract. In this paper we describe a GPU-based technique for creating illustrative visualization through interactive manipulation of volumetric models. It is partly inspired by medical illustrations, where it is common to depict cuts and deformation in order to provide a better understanding of anatomical and biological structures or surgical processes, and partly motivated by the need for a real-time solution that supports the specification and visualization of such illustrative manipulation. We propose two new feature-aligned techniques, namely surface alignment and segment alignment, and compare them with the axis-aligned techniques which was reported in previous work on volume manipulation. •••

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

Abstract. ••• In this paper, we present a new approach to direct volume rendering based on the Kubelka-Munk theory of diffuse reflectance. We show that not only the Kubelka-Munk theory facilitates a correct spectral volume rendering integral suitable for both solid objects and amorphous matters in volume datasets, but also provides volume visualization with more accurate optical effects than the traditional volume rendering integral based on the RGBa accumulation. •••

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

Abstract. ••• In this paper, we present a novel methodology for summarizing video sequences using volume visualization techniques. We outline a system pipeline for capturing videos, extracting features, volume rendering video and feature data, and creating video visualization. We discuss a collection of image comparison metrics, including the linear dependence detector, for constructing relative and absolute difference volumes that represent the magnitude of variation between video frames. •••

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)

Abstract. This paper is concerned with the development of non-photorealistic rendering techniques for volume visualisation. In particular, we present two pen-and-ink rendering methods, a 3D method based on non-photorealistic solid textures, and a 2+D method that involves two rendering phases in the object space and image space respectively. •••

M. Chen and J. V. Tucker, Constructive volume geometry, Computer Graphics Forum, Vol.19, No.4, 281-293, 2000. DOI, PDF(450K). See also vg.swan.ac.uk

Abstract. We present an algebraic framework, called Constructive Volume Geometry (CVG), for modelling complex spatial objects using combinational operations. By utilising scalar fields as fundamental building blocks, CVG provides high-level algebraic representations of objects that are defined mathematically or built upon sampled or simulated datasets. It models amorphous phenomena as well as solid objects, and describes the interior as well as the exterior of objects. We also describe a hierarchical representation scheme for CVG, and a direct rendering method with a new approach for consistent sampling. •••

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Last updated on 15 May 2011 by Min Chen