iV2013 - 17th
International Conference Information Visualisation 15, 16, 17 and 18 July 2013
SOAS, University of London ● London ● UK ● http://www.graphicslink.co.uk/IV2013/ Keynotes Lectures: |
1. Machine
Analysis of Facial Behaviour Maja Pantic
Imperial
College London, Computing Dept., UK 2. Visual Analysis of Financial Data Eugene Sorenson Visual Applications & Bloomberg Launchpad, Bloomberg LP, New York, USA 3. Geovisual Analytics with
integrated Storytelling applied to Business Intelligence Mikael Jern, Professor in Visual Analytics and Information Visualization -
NCVA/MIT Linkoping University, Sweden (former CEO and Director NComVA).
Andrew
Hudson-Smith is Director, Head of Department and Deputy Chair of the
Centre for Advanced Spatial Analysis (CASA), University College London,
London 5. Automatic generation of visualization like human’s ones David Auber, LaBRI , Université Bordeaux I, France
|
Machine Analysis of Facial Behaviour
Professor
Maja Pantic
Imperial
College London, Computing Dept., UK
Abstract
Facial
behaviour is our preeminent means to communicating affective and social
signals. This talk discusses a number of components of human facial behavior, how they can be automatically sensed and analysed
by computers, what is the past research in the field conducted
by the iBUG group at Imperial College London,
and how far we are from enabling computers to understand human facial behavior.
Bio-sketch
Maja Pantic received the M.S. and PhD
degrees in computer science from Delft University of Technology, the
Netherlands, in 1997 and 2001. From 2001 to 2005, she was an Assistant and then
an Associate professor at Delft University of Technology, Computer Science
Department. In 2006, she joined the Imperial College London, Department of
Computing, UK, where she is Professor of Affective & Behavioural Computing
and the Head of the iBUG group, working on machine
analysis of human non-verbal behaviour. From November 2006, she also holds an
appointment as the Professor of Affective & Behavioural Computing at the
University of Twente, Computer Science Department, the Netherlands.
In 2007,
for her research on Machine Analysis of Human Naturalistic Behavior
(MAHNOB), she received European Research Council Starting Grant (ERC StG) as one of 2% best junior scientists in any research
field in Europe. She is also the Scientific Director of the large European
project on Social Signal Processing. In 2011, Prof. Pantic received BCS Roger
Needham Award, awarded annually to a UK based researcher for a distinguished
research contribution in computer science within ten years of their PhD.
She is the
Editor in Chief of the Image and Vision Computing Journal (IVCJ/ IMAVIS), Associate
Editor of the IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics (IEEE
TSMC-B), Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligenve (IEEE TPAMI), and
a member of the Steering
Committee of the IEEE Transactions on Affective Computing. She is an IEEE Fellow.
Prof. Pantic is one of the
world's leading experts in the
research on machine understanding of human behavior
including vision-based detection, tracking, and analysis of human behavioral cues like facial expressions and body gestures, and
multimodal analysis of human behaviors like laughter,
social signals, and affective
states. She is also one of the pioneers in design and development of fully automatic, affect-sensitive
human-centered anticipatory interfaces, built for humans based on human
models. She has published more than 150 technical papers in the areas of machine
analysis of facial expressions and emotions, machine analysis of human body
gestures, and human-computer interaction. Her work is widely cited and has more than25 popular press
coverage (including New Scientist, BBC Radio, and NL TV 1 and 3). See also: http://ibug.doc.ic.ac.uk/~maja/ ; http://ibug/home
Visual Analysis of Financial Data
Eugene
Sorenson, Visual
Applications & Bloomberg Launchpad, Bloomberg LP,
New York, USA
Abstract
Visualization
in financial markets, such as stock, commodity and currency trading, has a long
history, given large amounts of data and the potential to create profit through
rapid insight. In capital markets, expert users such as traders and technical
analysts have learned skills and evolved timeseries
charts over decades to quickly identify and assess potential trading signals,
and these timeseries charts continue to evolve in new
ways.
Also,
with the advent of information visualization, new visual techniques provide new
ways to identify market patterns, whether looking at a single stock or across
entire markets. And, with ever growing data sets and complexity, there are many
opportunities for further advancing visualization in the financial community.
Bio-sketch
Eugene Sorenson is the global
business manager for Bloomberg's visual applications
and Bloomberg Launchpad, an advanced
desktop interface for the Bloomberg Professional service. Based in New York, he oversees business strategy and product development
for Bloomberg's visual applications
leveraging charts and graphics as
well as the Launchpad division. The Bloomberg
Professional service is the world's most trusted source for real-time and historical
financial data, news, research and analytics.
Under Mr. Sorenson's leadership, Bloomberg developed a new charting
platform and the creation of new
visual representations of the market that organize data into actionable information. He also led the
creation of Bloomberg Launchpad 2010, which is designed to give financial services
professionals a faster, more comprehensive and customizable look at the markets.
Prior to
joining Bloomberg in 2006, he worked at Cantor Fitzgerald as the vice president
of market data product development and at CQG where he held several positions
within their product group. Earlier in his career, he launched a Commodity
Trading Advisory firm, where he devised trading strategies in financial and
commodity futures based on technical chart patterns.
Geovisual
Analytics with integrated Storytelling applied to Business Intelligence
Prof. Mikael Jern NCVA/MIT
Linkoping University, Sweden
Abstract
With the growing amounts of data being captured,
processed and analyzed by companies in the open and big data era, sophisticated
geovisual analytics and discovery tools are required
to get better understanding about the context from sales management to customer
feedback for business users. There is a pressing need in identifying adequate
visualization methods for analysing these data and extracting relevant
knowledge.
Geovisual analytics stresses a key role in
business intelligence (BI) in that
visual representations including map layers
is the most effective means to
convey information to human’s mind and prompt human cognition and reasoning.
Storytelling technology is also becoming a critical component to be integrated
into BI applications. Time-spatial and multivariate visualization can drive
important decisions if the BI teams can make sure that they can actually get
the raw business data into the appropriate format.
Geovisual
analytics tools query data visually and as a result is highly interactive and iterative
enabling users to drag and drop metrics, dimensions and attributes onto a
visualization canvas and instantaneously view results in graphical form using a
variety of chart types that the discovery tools suggest based on the shape of
the data. By empowering BI users with visual tools and easy access to data,
they can find patters, distributions, correlations or anomalies across multiple
data types.
The presentation gives an overview of how to integrate
geovisual analytics tools and storytelling into a BI
system for exploring BI data for selected application tasks. The work of the
methods is illustrated using several examples of real-world and typical BI
datasets. We analyse to what extent these existing methods cover the
requirement, identify the remaining gaps, and outline the directions for the
future research.
1970-1976, Prof Jern worked with Professor Hertz at
University of Lund. Together they invented the Colour Graphics System based on
the first ink jet plotter for raster based visualisation software in the world.
1980, he founded UNIRAS addressing industry with a more general-purpose raster
graphics approach. UNIRAS became a world leading supplier of Visual Data
Analysis. Jern coordinated several EC projects in the domain of knowledge-based
information visualization and also consulted with the EC Commission as a
technical expert. He has published more than 200 technical papers and books in
visual computing and visualization application areas. SIGGRAPH 1993, he was
elected "pioneer of computer graphics" based on his breaking new
ground research together with Hertz in raster graphics. 1999, he was appointed
professor in information visualization at Linkoping University. His latest research interest includes
cutting-edge geovisual analytics methods with
storytelling. 2008, he founded Swedish National Centre for Visual Analytics http://ncva.itn.liu.se with partners Unilever, SMHI, OECD, Ericsson,
Statistics Sweden and Eurostat. His research in geovisual
analytics and embraced by OECD are acknowledged through many scientific papers
and invited presentations. In 2010, his entrepreneurship leads to the second
spin-off company NComVA (http://ncomva.com ), today a world leader in interactive data
visualization software. NComVA was acquired by QlikTech in May 2013.
He also recognized as one of the 100 most important founders in the
Swedish IT revolution between 1950-1980 at http://www.tekniskamuseet.se/1/261.html .
Smart
Cities, Realtime
Data, Augmented Reality and The Internet of Things:
Towards the Geography of Everything
Dr Andrew Hudson-Smith FRSA, Director and Reader in Digital Urban
Systems, Centre for Advanced Spatial Analysis
University College London, UK
Abstract
Every day, we create 2.5 quintillion bytes of data —
so much that 90% of the data in the world today has been created in the last
two years alone. This data comes from everywhere: sensors used to gather
climate information, posts to social media sites, digital pictures and videos,
purchase transaction records, and cell phone GPS signals to name a few (IBM,
2103). This data can, compared to traditional data sources, be defined as
‘big’. Cities and urban environments are the main sources for big data, every
minute 100,000 tweets are sent globally, Google receives 2,000,000 search
requests and users share 684,478 pieces of content on Facebook
(Mashable, 2012). An increasingly amount of this data
stream is geolocated, from Check-ins via Foursquare
through to Tweets and searches via Google Now, the data cities and individuals
emit can be collected and viewed to make the data city visible, aiding our
understanding of now only how urban systems operate but opening up the possibility
of a real-time view of the city at large (Hudson-Smith, 2013). The keynote
explores systems such as The City Dashboard (http://www.citydashboard.org) and the rise of the
Internet of Things (IoT) in terms of data collection,
visualization and analysis. Joining these up creates a move towards the Smart
City and via innovations in IoT a look towards
augmented reality pointing towards the geography of ‘everything’.
IBM (2103), Big Data at the Speed of Business,
http://www-01.ibm.com/software/data/bigdata/
Mashable (2012), How Much Data is Created
Every Minute, http://mashable.com/2012/06/22/data-created-every-minute/
Hudson-Smith (2013) – Tagging and
Tracking, Architectural Design, forthcoming.
Dr Andrew Hudson-Smith, Director and Deputy Chair of the Centre for Advanced Spatial Analysis (CASA) at The Bartlett, University College London. Andy is a Reader in Digital Urban Systems and Editor-in-Chief of Future Internet Journal, he is also an elected Fellow of the Royal Society of Arts, a member of the Greater London Authority Smart London Board and Course Founder of the MRes
in Advanced Spatial Analysis and Visualisation at University College LondonAutomatic generation of visualization like human’s
ones
Dr David Auber, LaBRI , Université Bordeaux I, France
| TOP
|