Speakers
- Dr. Cordelia Schmid, INRIA, France
- Prof Inald Lagendijk, Technical University of Delft, The Netherlands
Dr. Cordelia Schmid
Cordelia Schmid holds a M.S. degree in computer science from the University of Karlsruhe and a doctorate and habilitation degree from the Institut National Polytechnique de Grenoble (INPG). Her doctoral thesis on "Local Greyvalue Invariants for Image Matching and Retrieval" received the best thesis award from INPG in 1996. Dr. Schmid was a post-doctoral research assistant in the Robotics Research Group of Oxford University in 1996--1997. Since 1997 she has held a permanent research position at INRIA Rhone-Alpes, where she is a research director and leads the INRIA team called LEAR for LEArning and Recognition in Vision. Dr. Schmid is the author of over a hundred technical publications. She has been an Associate Editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence (2001--2005) and for the International Journal of Computer Vision (2004---). She has been a program chair of the 2005 IEEE Conference on Computer Vision and Pattern Recognition and the 2012 European Conference on Computer Vision. In 2006, she was awarded the Longuet-Higgins prize for fundamental contributions in computer visionthat have withstood the test of time. She is a senior member of IEEE.
See http://lear.inrialpes.fr/~schmid/ for more...
Prof. Inald Lagendijk
Reginald (or preferably: Inald) Lagendijk has been with Delft University of Technology since 1985. He is a full professor in the field of multimedia signal processing, and holds the chair of Information and Communication Theory. The fundamental question that he is interested in, is how multimedia information (images, video, audio) can be represented such that it is not only efficient in communication bandwidth or storage capacity, but that it is also easily identified when stored in large volumes (video libraries, internet) or transmitted over networks (e.g. P2P networks), that it is robust against errors when transmitted, that it can be protected against unauthorized usage, and that it has a good (audio-visual) quality.
Research projects he is currently involved in cover subjects such as multimedia content security (fingerprinting, watermarking, secure signal processing), multimedia information retrieval, and (wireless) multi-media communications. In the past he was involved in research on image sequence restoration and enhancement, and video compression.
Professor Lagendijk is member of the Royal Netherlands Academy of Arts and Sciences (KNAW), and he is a Fellow of the IEEE (for Contributions to Image Processing).
See http://msp.ewi.tudelft.nl/users/inald-lagendijk for more...
