Keynote 1: Herwig Lejsek (Reykjavik University, Iceland).
Videntifier™ Forensic: Large-scale Video Identification in Practise.
The world's law enforcement agencies are increasingly tracking down producers and distributors of offensive multimedia content such as child abuse material. The challenge lies in the vast amount of easily accessible images and videos on the Internet, as well as the large capacities of today's hard drives. Inspecting each and every file is hardly possible with police investigators' limited resources and time. Additionally, such inspection work is repetitive and slow, and in the case of deeply offensive images even psychologically harmful. In the presentation we will first review the standard process and challenges that police investigators currently go through when investigating the contents of common storage devices and the challenges connected with this work. Second, we will present the currently available technical toolkits that can assist police investigators and save significant time during this tedious research process. We will focus especially on tools capable of extracting and classifying the content from large collections of multimedia files as this is the most time consuming task for investigators. Finally we will look at the problem in a larger context. Not only police departments can benefit from the development of tools helping to automatically identify and/or classify multimedia content. Several other organizations are involved in the fight against the distribution of offensive multimedia content on the internet, eg. INHOPE (Internet hotline providers in Europe) and NGOs fighting for childrens' rights as well as associations of internet providers such as EUROISPA.

Herwig Lejsek received an M.Sc. degree in Computer Science in June 2005 from Reykjavik University (Iceland) and a Dipl.-Ing. degree in Computer Engineering in January 2006 from Vienna University of Technology (Austria). Subsequently, he enrolled as a Ph.D. student at Reykjavik University, working under the supervision of Björn Por Jonsson. Since January 2008, he is the CEO of Videntifier Technologies ehf (www.videntifier.com), a start-up company emerging from Reykjavik University's research labs. His research work focuses primarily on high dimensional data structures and content-based multimedia retrieval.

Keynote 2: Rita Cucchiara (University of Modena and Reggio Emilia, Italy).
When Multimedia meets Surveillance and Forensics in People Security.
When new disciplines emerge, and their commercial applications arise, the market invents new terms and definitions. This is the case of new fields related to surveillance and forensics for people security, which are adopting multimedia, computer vision, content-based retrieval technologies massively. Thus new tools of "intelligent video analytics", "VCA" ("video- content-analysis"), "smart surveillance", "smart forensics" etc. are invading the Web and the ICT market and many research projects in this area are spreading worldwide. This talk aims at presenting the research advances in multimedia and related technologies for people security, that are spreading in applications of real-time video surveillance and off-line analysis of video footage for forensics purposes. In both contexts, two aspects must be taken into account: the data management and the data analysis. In the former aspect, since privacy, legal and security issues are involved, all technology advancements in reliable network transmission, watermarking, secure storing and delivering, transcoding and so on are explored and tailored to the application. In the latter aspect, the research in computer vision, audio analysis, sensor fusion, content-based retrieval, multimedia data mining and metadata analysis are merged with the common goal to extract in real- time or in a very fast way (to cope with the huge amount of data) all the possible knowledge about the scene evidence, the people aspect and the people behavior. This talk, after a brief overview of the state-of-the-art, will focus in particular on this second aspect and in particular on the advances and the challenges of research in people detection, people action and activity analysis, behavior and event detection also in crowd scene covered by forest of cameras. Some recent projects of Modena's ImageLab will be presented together with some results in sensor fusion for people identification and tracking.

Rita Cucchiara is Full Professor at the "Enzo Ferrari" Engineering Faculty of University of Modena and Reggio Emilia in Italy. She graduated in Electronic Engineering in 1989 and received the PhD degree in Computer Engineering at University of Bologna in 1992. Formerly Professor Assistant at University of Ferrara, joined UNIMORE in 1998. In Modena she is Vice-Dean of the Faculty of Engineering, Director of the Center SOFTECH and heads the ImageLab Lab of Computer Vision and Multimedia (http://imagelab.ing.unimore.it). Her current research interests are in computer vision and pattern recognition for video surveillance and forensics; machine vision for industrial application and multimedia for cultural heritage. Currently, she coordinates many projects, national (Video Surveillance for Tecnopolo of Emilia Romagna Region 2010-13, Stalking, cyberspace and young people, 2010-11), European (THIS:Transport Hubs intelligent Surveillance 2010-11 EU CIPS-JLS ) and extra-European (BESAFE, Nato "Science for Peace" 2009-10 project) and many collaborations with Italian companies and public partners. She published more than 50 journal papers and 170 conference papers on these topics. Since 2006 she is Fellow of International Association of Pattern Recognition.