iV2013 - 17th International Conference

Information Visualisation

15, 16, 17 and 18 July 2013

SOAS, University of London LondonUK




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).


4.    Smart Cities, Realtime Data, Augmented Reality and The Internet of Things: Towards the Geography of Everything

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


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.


Text Box:  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



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.



Text Box:  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


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.



Text Box:  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 .

Integration with QlikTech as Extension



























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



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.



Text Box:  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 London

. http://www.digitalurban.org








Automatic generation of visualization like human’s ones

Dr David Auber, LaBRI , Université Bordeaux I, France

Information Visualization is a really old science, with or without computers people have always tried to communicate through visualization. Looking carefully to human made visualizations one can better understand what people want to highlight. It is here that the computer science starts. How can we generate automatically drawings similar to the so efficient ones produced by the human hand. From geography to biology one can find lots of these visualizations. Based on more than ten years of research in information visualization, that talk will present four practical cases. One on secondary structure of RNA drawing, one on Minard like maps, one on Euler diagram visualizations and to finish one on map like hierarchy drawings.



David Auber received his PhD degree from the University of Bordeaux I in 2003. He has been an assistant professor in the University of Bordeaux Department of Computer Science since 2004. He is the leader of the Bordeaux Information Visualization team since 2007.His current research interests include information visualization, graph drawing, bioinformatics, databases and software engineering.




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