CGiV2013  - 10th International Conference
Computer Graphics, Imaging and Visualization

www.graphicslink.co.uk/cgiv2012/
6 - 8 August 2013

University of Macau● Macau S.A.R. ● China

www.graphicslink.co.uk/cgiv2013/VENUE.htm 

 

Keynotes Lectures:

 

1.   Visualization of Hierarchical Information on Mobile Screens

Kang Zhang, Professor and Director of Visual Computing Lab, University of Texas at Dallas , USA

 

2.   The Migration of Aura: Presenting Heritage in Large-scale Immersive Environments

Sarah Kenderdine, Visiting Assoc. Prof. CityU, Hong Kong, Director of  Centre for Innovation in Galleries, Libraries, Archives and Museums (iGLAM) and Director of Research for Applied Laboratory of Interactive Visualization and Embodiment (ALiVE) Special Projects: Museum Victoria Adjunct Professor: RMIT University

 

3.   Simulation of Various Interactions in Fluid Dynamics

Wu Enhua, Professor University of Macau, Macau, China

 

4.   Visual Analytics for Massive Complex Networks

Seok-Hee Hong, professor in Computer Science, University of Sydney, Australia

 

5.   Interaction Design in Multi-Dimensional Visualization of Big Data

Mao Lin Huang, The University of Technology, Sydney (UTS), Australia

 

6.   Data-Driven Photo Editing and Enhancement

Y.Z. Yu, The University of Hong Kong, Hong Kong

 

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Visualization of Hierarchical Information on Mobile Screens

Professor Kang Zhang

Professor and Director of Visual Computing Lab

The University of Texas at Dallas, USA

Abstract:

Visualizing and exploring a hierarchical structure on small screen devices, such as mobile phones, is a challenge. On the screens of desktop PCs and laptops, such hierarchical structures are often shown in a tabular view. Due to the size particularly the width restriction, a tabular view is not suited for mobile screens. This talk discusses a visualization technique that displays multiple levels of a hierarchy on a single view and allows users to explore the hierarchical structure rapidly through touch input. The visualization technique makes full use of the available space and flexibly allocates the space for individual nodes according to the application criteria. The approach adapts the selection and display of relevant information based on the user’s query habit, by hiding less important information to maximize the utilization of the space. We have conducted a user study to compare our visualization and navigation approach with the list-based approach on most of the current mobile phones, and will report our findings.

 

Short Biography

Text Box:  Kang Zhang is Professor and Director of Visual Computing Lab, Department of Computer Science at the University of Texas at Dallas. He is also a Board Director of Vital Art and Science Inc., USA. He holds a B.Eng. degree in Computer Engineering from University of Electronic Science and Technology of China, a Ph.D. degree from University of Brighton, UK, and an Executive MBA degree from the University of Texas at Dallas. Prior to joining UT-Dallas, he held various academic positions in the UK, Australia, and China. Dr. Zhang's current research interests include information visualization, visual languages, aesthetic computing, and managerial aesthetics; and has published over 180 papers and 5 books in these areas. He is also accomplished artist, having won various awards. Dr Zhang is on the Editorial Boards of Journal of Visual Languages and Computing, International Journal of Software Engineering and Knowledge Engineering, and International Journal of Advanced Intelligence. His home page is at www.utdallas.edu/~kzhang.

 

 

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The Migration of Aura:

Presenting Heritage in Large-scale Immersive Environments

Sarah Kenderdine

Visiting Assoc. Prof. CityU, Hong Kong; Director: Centre for Innovation in Galleries, Libraries, Archives and Museums (iGLAM)

Director of Research: Applied Laboratory of Interactive Visualization and Embodiment (ALiVE) Special Projects: Museum Victoria

 

Abstract:

This presentation examines new paradigms for developing cultural heritage archives as embodied museum experiences. Using heterogeneous datasets representing intangible and tangible heritage, Sarah Kenderdine, explores interactive applications inside a series of fully immersive visualization systems. The Migration of Aura engages contemporary museum discourses and the concept of aura with virtual, interactive and augmented reality technologies. The installations described in this lecture include world heritage sites of Angkor in Cambodia, Dunhuang in China, the Monuments at Hampi in South India and numerous sites throughout Turkey. The research discussed also involves visualization of cultural collections and web-based archives from Europeana (the world’s largest cultural collection online with 22 million objects) and the digitized Korean Buddhist Cannon (Tripitaka Koreana) in Haeinsa, Korea. Two works based on Pacifying of the South China Sea Pirates’ scroll painting recently created for the new Maritime Museum, Hong Kong (2013) will also be described < http://alive.scm.cityu.edu.hk/ >.

 

Short Biography

Text Box:  Dr. Kenderdine researches at the forefront of interactive and immersive experiences for museums and galleries. In widely exhibited installation works, she has amalgamated cultural heritage with new media art practice, especially in the realms of interactive cinema, augmented reality and embodied narrative. She is a pioneer in panoramic and stereoscopic display systems and content creation. Dr. Kenderdine holds the position of Special Projects, Museum Victoria, Australia (2003–) and is Visiting Assoc. Prof., Director of Centre for Innovation in Galleries, Libraries, Archives and Museums (iGLAM) and Director of Research at the Applied Laboratory for Interactive Visualization and Embodiment (ALiVE), Co-Director of the LUXLAB, City University, Hong Kong (together with Kyoto University). Recent books include the co-edited, co-authored Theorizing Digital Cultural Heritage: a critical discourse, Cambridge: MIT Press, 2007 (third reprint 2010) and PLACE-Hampi: Inhabiting the Panoramic Imaginary of Vijayanagara, Heidelberg: Kehrer Verlag, 2012. In preparation Kenderdine, S. & Cameron, F., Theorizing digital cultural heritage for a complex, turbulent and entangled world, Cambridge, MA: MIT Press.

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Simulation of Various Interactions in Fluid Dynamics

Professor Enhua Wu

Faculty of Science and Technology, University of Macau &

State Key Lab of Computer Science, Chinese Academy of Sciences, China

Abstract

Fluid phenomena and fluid interactions are common in our daily life. As a challenging topic, the interactions on fluid dynamics are involved with highly comprehensive behavior simulation. We will in the talk classify the interactions into 2 categories, the internal and external ones.  For the internal interaction, simulation to the mixture of multiple fluids in different features, both immiscible and miserable, will be introduced, and solutions based on Lattice Boltzmann Method (LBM) and conventional NSE solutions will be given. For the external interaction, the behavior simulation of fluid dynamics with solid objects including granular and fixed shapes, will be introduced.  All the interactive behavior will be demonstrated by testing result of dynamics, and the techniques for real time simulation in some situations will be also analyzed.

 

Short Biography

Text Box:  Prof. Enhua Wu completed his BSc study in 1970 from Tsinghua University, Beijing and received his PhD degree from Department of Computer Science, University of Manchester, UK in 1984. He has been working at the State Key Lab. of Computer Science (SKLCS), Institute of Software, Chinese Academy of Sciences since 1985, as a director of its Research Dept. of Fundamental Theory and Advanced Technology until 1998. He has been also invited as a full professor of University of Macau (UM) since 1997. In recent years, he has been invited to chair or co-chair various conferences like CGIV2009, ACM VRST2010 & 2013, CASA2011, ACM VRCAI2008~2012, WSCG2012, ICVRV2013, and as a keynote speaker for CGIV2009, IEEE MINES2010, ACM VRST2010, ACM VRCAI2011, IWAIT2012, ICALIP2012, WSCG2012 etc.. He is an Associate Editor-in-Chief of the Journal of Computer Science and Technology (Science Press and Springer) since 1995 and the editorial board member of The Visual Computer, Computer Animation and Virtual Worlds, Inter. J. Image and Graphics, Inter. J. Virtual Reality and Inter. J. Software and Informatics. His main interests are Realistic Image Synthesis, Virtual Reality and Scientific Visualization.

 

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Visual Analytics for Massive Complex Networks

Professor Seok-Hee Hong

School of Information Technologies, University of Sydney, Australia

Abstract

Recent technological advances have led to massive complex network models in many domains, including social networks, biological networks and webgraphs.  Visualisation can be an effective analysis tool for such networks.  Good visualisation reveals the hidden structure of the networks and amplifies human understanding, thus leading to new insights, new findings and new hypothesis.

However, visualisation of massive complex networks is very challenging due to scalability and complexity.  This talk will address the challenging issues for visual analysis of massive complex networks, and review latest methods for effective and efficient visual analytics of such networks.  In particular, integration of good analysis method with good visualisation method will be the key approach to solve the research challenge.

 

Short Biography

Text Box:  Seok-Hee Hong is a professor in Computer Science and a Future Fellow at the University of Sydney. Her research interests include graph drawing, algorithms, information visualisation and visual analytics. In 2006, she won the CORE Chris Wallace Award for Outstanding Research Contribution in the field of Computer Science, for her research "Theory and Practice of Graph Drawing".  Prof. Hong has more than 130 publications including 5 edited books, 7 book chapters, 35 journal papers, and 85 conference papers. She has given 8 invited talks at international conferences as well as 50 invited seminars worldwide.

She serves as a Steering Committee member of Graph Drawing Symposium, IEEE Pacificvis Symposium, and ISAAC (International Symposium on Algorithms and Computation), and an editor of JGAA (Journal of Graph Algorithms and Applications). She has served as a Program Committee Chair of 6 international conferences, and a Program Committee Member of 35 international conferences.

In particular, she has formed the Information Visualisation research community in the Asia-Pacific Region, by founding the major

conference (IEEE PacificVis Symposium).

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Interaction Design in Multi-Dimensional Visualization of Big Data

Associate Professor Mao Lin Huang

Director of Information Visualization Lab, The University of Technology, Sydney, Australia

 

Abstract:

­Big data is a collection of large and complex data sets that are commonly appeared in multidimensional and multivariate data formats and it becomes very difficult to mine and present meaning knowledge from such data sets though the use of on-hand data analysis and visualization techniques, due to its massive volume and complexity (e.g. its multivariate format). Thus, there is an urgent need to investigate more effective techniques to deal with such kind of huge data sets. Currently there are several well-established geometrical systems for visualizing multidimensional data that has been extensively studied for decades. However, the existing associated visual interaction techniques available are very limited. So far there is none existing techniques in parallel coordinates visualization could well achieve the functions that are covered by the ‘Select’ layer of J. S. Yi’s seven-layer’s interaction model. This is because that the ‘Select’ of data items via mouse-click (and mouse-over) operations over particular visual poly-lines (data item) with no geometric region is theoretically impossible. In this talk, we will explore the common issues and challenges raised in the design of visual interaction process in multi-dimensional visualization, and then we will present a novel technique that uses a set of ‘virtual nodes’ to practically achieve the ‘Select’ interaction, that has been proven as a theoretically impossible operation, in parallel coordinates visualization. The proposed method is very useful for big data visual analytics.

 

Short Biography

Text Box:  Dr Mao Lin Huang is an Associate Professor and Director of Information Visualization Lab, in the University of Technology, Sydney, Australia. His research interests include graph drawing, multi-dimensional data visualisation, visual analytics and visual data mining. He has published more than 150 research publications, including many high quality journal articles, book chapters and conference papers.  These publications have received 832 citations according to Google Scholar. Dr Huang has supervised (and is supervising) 2 Post-Doctors and 12 PhD students, working on the above areas. Dr Huang has chaired various international conferences/symposiums, and has been involved in the program committees of many international conferences. He is an editor of various conference proceedings. He has also been a reviewer for several well-known IEEE Transactions and other journals, including the IEEE Trans. on Computer Graphics and Visualization, the IEEE Trans. on Knowledge & Data Engineering, the IEEE Trans. on Systems, Mans and Cybertics and Journal of Information Visualization (IVS).

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Data-Driven Photo Editing and Enhancement

Professor Y.Z. Yu, The University of Hong Kong, Hong Kong

Abstract: 

Many hard problems become tractable with the availability of large datasets. This is also true for digital photo editing and enhancement. In this talk, I present two pieces of work in this category. The first one is on data-driven image color theme editing, and the second one on example-based color and tone enhancement based on learned styles.

 

It is often important for designers and photographers to convey or enhance desired color themes in their work. I present a data-driven method for enhancing a desired color theme in a digital photo. We formulate our goal as a unified optimization that simultaneously considers a desired color theme, texture-color relationships as well as automatic or user-specified color constraints. Quantifying the difference between an image and a color theme is made possible by color emotion spaces. We incorporate prior knowledge, such as texture-color relationships, extracted from a database of photographs to maintain a natural look of the edited photos. Experiments and a user study have confirmed the effectiveness of our method.

 

Color and tone adjustments are among the most frequent image enhancement operations. In the second piece of work, our goal was to learn implicit color and tone adjustment rules from examples. We define tone and color adjustment rules as mappings, and propose to approximate complicated spatially varying nonlinear mappings in a piecewise manner. Parameters within such low-order models are trained using example images. We successfully applied our framework in two scenarios, low-quality photo enhancement by transferring the style of a high-end camera, and photo enhancement using styles learned from photographers and designers.

 

Short Biography

Text Box:  Yizhou Yu is a professor in the Department of Computer Science at the University of Hong Kong and an adjunct professor at University of Illinois, Urbana-Champaign. He received a PhD degree in Computer Science from University of California at Berkeley in 2000. Dr Yu has conducted a considerable amount of research in computer graphics, computer vision, and image processing. He is a recipient of best paper awards at ACM SIGGRAPH/EG Symposium on Computer Animation, National Science Foundation CAREER Award and Microsoft Fellowship. Dr Yu is currently on the editorial board of Computer Graphics Forum and International Journal of Software and Informatics. He was a program co-chair of Computer Animation and Social Agents 2011 and Pacific Graphics 2009. He has served on the program committee of many leading international conferences, including SIGGRAPH, SIGGRAPH Asia, and International Conference on Computer Vision.

 

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