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keynote lectures |
iV2015 - 19th
International Conference Information Visualisation 21, 22, 23 and 24 July 2015
The University of Barcelona ●
Barcelona ● Spain ●
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1. Simulation and
Visualization of Deformation with Anisotropic Materials Lin Feng , Nanyang Technological University, Singapore 2. Space, Time and Visual Analytics: a Multiple Perspectives
Paradigm Gennady Andrienko, Fraunhofer Institute IAIS, Germany & City University, London, UK
3. And
the user said: “Don’t leave me alone!” Gilles Venturini, University François Rabelais of Tours, France4. Recent
Advances in Multimedia Forgery and Security PUN, Chi Man  |
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Simulation
and Visualization of Deformation with Anisotropic Materials
Lin Feng , Nanyang Technological University, Singapore
Abstract
Physically
based deformable models have been a hot topic in the computer graphics and
visualization community. However, most of the implemented models work only for
isotropic materials, leaving the more general anisotropic materials less
studied. We look into the challenging issues in dynamics simulation and realtime visualization for anisotropic materials, and
present our theoretic and practical work along the way to provide an ultimate
solution to deformation with such materials. First, our models are based on
continuum mechanics and approximated by the Finite Element Method, and
different approaches such as corotated, invertible,
and total Lagrangian explicit dynamic. Secondly, for
controls of the deformation, we have focused on materials that have their own
internal structures (fibers) that determine the dynamics behaviors. We propose
a fibers incorporated deformable model that can approximate the anisotropic
elastic material properties. The orientation information is combined into the
existing deformable models by element transformations along the given
directions, which provide a control of the desired deformation. Thirdly,
constraints for the strain density in linear elastic models are analyzed, and a
positive-definite elasticity tensor is derived for an anisotropic material.
Fourthly, an orthotropic deformation controlling frame-field is conceptualized
and the frame construction tool is developed for the user to define the desired
material properties. A quaternion Laplacian smoothing
algorithm is designed for propagating the rotation minimization frames into the
entire object. And finally, the corotational linear
FEM model is coupled with the orthotropic frame-field to realize a dynamics
system, which can deal with large anisotropic deformations.
Keywords
- Deformable Models, Anisotropic Materials, FEM, Dynamics Simulation,
Visualization
Dr Lin
Feng is currently an
Associate Professor at School of Computer Engineering, Nanyang
Technological University. His research interest includes biomedical
informatics, imaging and visualization, computer graphics, as well as
high-performance computing. He has
worked for more than twenty funded research projects since joining NTU twenty
years ago and has published about 200 technical papers. He has also won several
prestigious research awards. Dr Lin is a Senior Member of IEEE.
Space, Time
and Visual Analytics: a Multiple Perspectives Paradigm
Gennady Andrienko, Fraunhofer Institute IAIS, Germany & City University, London, UK
Abstract
Visual
analytics aims to combine the strengths of human and computer data processing.
Visualization,
whereby humans and computers cooperate through graphics, is the means through
which this is achieved. Sophisticated synergies are required for analyzing spatio-temporal data and solving spatio-temporal
problems.
It
is necessary to take into account the specifics of the geographic space, time,
and spatio-temporal data.
While
a wide variety of methods and tools are available, it is still hard to find
guidelines for considering a data set systematically from multiple
perspectives. To fill this gap, we systematically consider the structure of spatio-temporal data, possible transformations, and
demonstrate several workflows of comprehensive analysis of different data sets,
paying special attention to the investigation of data properties.
We
finish the talk by outlying directions for future research, including semantic
level analysis and big data.
Gennady Andrienko (www.geoanalytics.net/and)
is lead scientist responsible for the visual analytics research at Fraunhofer Institute for Intelligent Analysis and
Information systems (IAIS) and full professor (part time) at City University
London, UK.
He co-authored
monographs “Exploratory Analysis of Spatial and Temporal Data” (Springer, 1996)
and “Visual Analytics of Movement” (Springer, 2013) and more than 70
peer-reviewed journal papers and 20 book chapters. Since 2007, Gennady
Andrienko is chairing the Commission on GeoVisualization
of the ICA - International Cartographic Association. He co-organized scientific
events on visual analytics, geovisualization and
visual data mining, and co-edited 11 special issues of major journals. Gennady
Andrienko was poster chair of IEEE VAST 2013-2014 and is paper chair of IEEE
VAST 2015.
Gennady Andrienko is
associate editor of three journals, Information Visualization, IEEE
Transactions on Visualization and Computer Graphics, and International Journal
of Cartography, and editorial board member of Cartography and Geographic
Information Science. Gennady Andrienko received best paper awards at AGILE 2006
and IEEE VAST 2011 and 2012, honorable mention award
at IEEE VAST 2010, VAST challenge awards 2008 and 2014, and best poster awards
at AGILE 2007 conference.
And
the user said: “Don’t leave me alone!”
Gilles Venturini, University François Rabelais of
Tours, France
Abstract
Visual
and interactive methods being user-centered approaches, one would expect users
to have no difficulties to find a relevant visualization and to configure it.
However, in practice, novice users (but not just them) can have problems to
find an appropriate visualization that can reach the pursued objectives: users
are often alone to solve such design/choice problems, and the consequences of a
wrong design or choice can be disastrous. So did we forget something important
about users and visualizations? For a given problem to solve (i.e., a dataset
and objectives), I will show, with some examples, that the visualization «
search space » can be very large and complex, and that finding an « optimal »
visualization can be difficult. Then I will enumerate areas of research that
aim at providing help to users (or designers) when they use (define) visual and
interactive approaches. I will describe user assistants, which are like expert
systems and which can be knowledge-based or behavior-based. I will describe
history management systems. Then I will present the domain of « visualization
optimization » (i.e., turning the design/choice problem into a mathematical
optimization problem with automatic evaluation functions). In the conclusions
and perspectives, I will discuss the trade-off between methods that entirely
rely on the user and methods that are completely automatic. Both approaches can
easily fail: with the first ones, the user will be alone, and with the second
ones, the mathematical criteria may not encompass the user’s needs and
objectives.
Gilles Venturini is Professor of Computer Science at the
University François-Rabelais of Tours in France. His research interests are
visual data mining, 3D interfaces, 3D data acquisition and biomimetic
algorithms for optimization and learning. He is the coeditor in chief of the
French New IT Journal (Revue des Nouvelles
Technologies de l’Information) and was recently
president of the French Data Mining Society (Extraction et Gestion
des Connaissances). He is a co-author of a on-line user assistant for visual data mining (www.vizassist.fr).
Recent
Advances in Multimedia Forgery and Security
PUN, Chi Man 
, University of Macau, Macau S.A.R.,
China
Abstract:
Along
with the development of computer technology and the popularity of software for
multimedia information processing, digital forgery is increasingly easily to
achieve, which reduces the credibility of the multimedia data such as digital
images, videos and audios greatly. Therefore, multimedia forgery detection and
information security have been becoming more and more important in recent
years. Among the existing kinds of digital forgeries, copy-move forgery is one
of the most common ones, which is to paste a copied region of an image into
another part of the same image. During the copy and move operation, some image
processing methods such as rotation, scaling, blurring, compression, and noise
addition are applied to ensure the imperceptibility of the copied region;
however, which can increase the difficulties of forgery detection at the same
time. In this talk, we will study the
recent advances of multimedia forgery and the related detection methods such as
copy-move or splicing forgeries, and multimedia security techniques such as
digital watermarking methods.
Prof.
Pun received his B.Sc. and M.Sc. degrees in Software Engineering from the
University of Macau in 1995 and 1998 respectively, and Ph.D. degree in Computer
Science and Engineering from the Chinese University of Hong Kong in 2002. He is
currently an Associate Professor and Head of the Department of Computer and
Information Science of the University of Macau. He has investigated several
funded research projects and published more than 150 refereed scientific papers
in international journals, books and conference proceedings. He has also served
as the editorial member / referee for many international journals such as IEEE
Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on
Image Processing, Pattern Recognition, etc. His research interests include
Digital Image Processing; Multimedia Security and Digital Watermarking; Pattern
Recognition and Computer Vision. He is also a senior
member of the IEEE and a professional member of the ACM.
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