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Abstract of Christine Guillemot


Distributed video compression: Basics, Research Problems, Applications
Distributed source coding has emerged as an enabling technology for sensor networks. It refers to the compression of correlated signals captured by di erent sensors which do not communicate between themselves. Distributed source coding nds its foundation in the seminal work of Slepian-Wolf (1973) and Wyner-Ziv (1976). The proof of the Slepian-Wolf W theorem is based on random binning, which is non-constructive, i.e., it does not reveal how practical code design should be done. In 1974, Wyner suggested the use of parity check codes to approach the corner points of the Slepian-Wolf rate region. It is only recently that practical solutions based on channel capacity-achieving codes (block codes, turbo codes or LDPC codes) have been explored for applications ranging from video compression, resilient video transmission, to minimization of transmit energy in sensor networks. Video compression, as well as scalable video compression, can be recast into a distributed source coding framework leading to distributed video coding schemes targeting mainly low coding complexity and error resilience functionalities. Correlated samples (pixels or transform coecients) from di erent frames are regarded as outputs of di erent sensors. However, the application of the Wyner-Ziv principles to video compression is not straightforward and requires solving a number of issues. This talk will present the underlying theory, the latest developments of distributed video compression and some of the research trends in the area.
Slides of Presentation


Information about the author:
Christine Guillemot is currently 'Directeur de Recherche' at INRIA, in charge of the TEMICS research group dealing with image modelling, processing, video communication and watermarking. She holds a PhD degree from ENST (Ecole Nationale Superieure des Telecommunications) Paris. From 1985 to October 1997, she has been with FRANCE TELECOM/CNET, where she has been involved in various projects in the domain of coding for TV, HDTV and multimedia applications, and co-ordinated a few (e.g. the European RACE-HAMLET project). From January 1990 to mid 1991, she has worked at Bellcore, NJ, USA, as a visiting scientist. Her research interests are signal and image processing, video coding, and joint source and channel coding for video transmission over the Internet and over wireless networks. She has served as Associate Editor for IEEE Trans. on Image Processing (2000-2003), and for IEEE Trans. on Circuits and Systems for Video Technology (2004-2006). She is currently Associate Editor for IEEE Trans. on Signal Processing. She is a member of the IEEE IMDSP and of the IEEE MMSP technical committees.