FP7   EU

Xerox Research Centre Europe (XEROX/XRCE) in Grenoble, France, is committed to inventing and designing document technologies that enhance productivity and creativity in the workplace. Currently XRCE employs over 50 researchers and developers, from 14 nationalities and has been involved in over 10 EC-funded projects in the past 5 years. XRCE is well-known for its text and image categorisation innovations which each won the runners-up prize in the Wall Street Journal Technology Innovation Awards 2005. These were both the results of EC-funded projects, and are both recently the subject of multiple significant commercial successes. It is also one the major European centres for semantic and multilingual text processing, and for commercial applications of ethnomethodology. Finally, XRCE is spearheading breakthroughs in the domains of document conversion and device data mining.

The Textual and Visual Pattern Analysis (TVPA) and Work Practice Technology (WPT) groups will be the two main areas participating in PinView. The main aspects of the TVPA area are image categorisation (most related to the proposed project), automatic image enhancement (now incorporated in two major Xerox products), and mobile document imaging (the subject of multiple licensing activities). The Work Practice Technology has strong multidisciplinary expertise that makes it possible to carry out research from user requirements collection through ethnographic studies to development and provision of advanced prototypes and interaction mechanisms. XRCE is an active member of the PASCAL network of excellence. The projects most closely related to PinView in which XRCE has been involved are RevealThis (Retrieval of Video And Language for The Home user in an Information Society) and LAVA (Learning for Adaptable Visual Assistants).

Dr. Marco Bressan is Area Manager of XRCE's Visual Content research area (TVPA). The main lines of research in this group are visual content quality and understanding. He holds a BA in Applied Mathematics from the University of Buenos Aires (UBA), a M.Sc. in Computer Vision from the Computer Vision Centre in Barcelona (CVC) and a PhD in Computer Science and Artificial Intelligence from the Autonomous University of Barcelona (UAB). As an independent consultant he applied several of these contributions to a variety of fields including biometric solutions, data mining, CBIR and industrial vision. Also prior to joining the Visual Content group he was responsible for the innovation department of Visual Century Research, a privately owned company focused on intelligent media asset management. His main research interests are statistical pattern classification; image and video semantic scene understanding; and object recognition and enhancement, in particular when dealing with uncontrolled environments.
Dr. Antonietta Grasso is the area manager of the Work Practice technology group. She is a research scientist with a degree in Computer Science from the University of Milan, Italy. Her main research interests relate to user centered design of technology, knowledge management and ubiquitous computing. While at XRCE, Antonietta has been involved in a number of international research collaborations, mainly inside European Union projects such as Campiello and MILK, where new concepts for intelligent information interfaces have been explored.
Dr. Teófilo de Campos was a research scientist at the TVPA group. He has got a DPhil from the University of Oxford, where he did research on 3D visual tracking of articulated objects and hands. In his MSc at the University of Sao Paulo, Brazil, he did research on feature selection methods for face recognition. Before joining Xerox, he spent six months at Microsoft Research in India, working on Kannada characters classification. He has also worked as a research scientist at Sharp Labs of Europe, where he was involved in projects related to image processing for novel display technologies. Teófilo is now a Sr Research Fellow at the University of Surrey.
Dr. Tommaso Colombino works for the PinView project.
Dr. Florent Perronnin received the engineering degree from the Ecole Nationale Supérieure des Télécommunications (ENST), Paris, in 2000 and the PhD degree from the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, in 2004. From 2000 to 2001, he was with the Panasonic Speech Technology Laboratory (PSTL), Santa Barbara, California, working on speech and speaker recognition. Since 2005, he has been a research scientist at the Xerox Research Centre Europe, Meylan, France. His main interests are in the applications of computer vision and pattern recognition to the problems of natural and document image processing.
Dr. Gabriela Csurka is a research scientist in the Textual and Visual Pattern Analysis team at Xerox Research Centre Europe (XRCE). She obtained her Ph.D. degree (1996) in Computer Science from University of Nice Sophia - Antipolis. Before joining XRCE in 2002, she worked in fields such as stereo vision and projective reconstruction at INRIA (Sophia Antipolis, Rhone Alpes and IRISA) and image and video watermarking at University of Geneva and Institute Eur├ęcom, Sophia Antipolis. Author of several publications in main journals and international conferences, she is also an active reviewer both for journals and conferences. Her current research interest concerns the exploration of new technologies for image content and aesthetic analysis, cross-modal image categorization and retrieval and semantic based image segmentation.
M.Sc. Yan Liu received his B.Sc. from the Department of Computer Science, Beihang University, Beijing, China, in 2000 and M.Sc. from Department of Computer Science and Statistics, Lumiere University Lyon 2, France, in 2006. Yan Liu is now a PhD student in the LIRIS lab at Ecole Centrale de Lyon (ECL) in France and simultaneously a research assistant in the Textual and Visual Pattern Analysis (TVPA) group at the Xerox Research Centre Europe (XRCE). His research interests focus on machine learning and pattern recognition and their applications to image categorization and retrieval.
Herve Poirier, software engineer.
M.Sc. Julian McAulay, summer intern.