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Yildizposta Cad.
No: 17 / 4
Esentepe, 34394
Istanbul - Turkey
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Jens Rainer Ohm, University of Aachen


Eric Badique, European Commission


Khalid Sayood, University of Nebraska-Lincoln


Haldun Ozaktas, Bilkent University


Jens-Rainer Ohm , Institute of Communications Engineering, RWTH Aachen University

Advances in Video Compression

The market for digital video is growing, and compression technology can be found as a core enabling technology. Standardized methods as motion-compensated DCT, which have reached a level of maturity over decades, are dominating these products. During the past years, another wave of innovation has occurred in video compression research and development, which leads to the assumption that we are still far from reaching the real bounds. Key factors are still improvements in motion compensation, better understanding of spatio-temporal coherences over shorter and longer distances, and more advanced encoding methods, as e.g. implemented in the new Advanced Video Coding (AVC) standard. While the adoption of successful research trends into standardization and products seems to be almost seamless, new trends are already showing up which may lead to more paradigm shifts in the video compression community. In general, the interrelationship between transmission networks and compression technology bears many problems yet to be solved. Efficient scalable representation of video may become interesting to provide flexible multi-dimensional resolution adaptation, to support various network and terminal capabilities and better error robustness. This has finally become possible by the advent of open-loop temporal compression methods, denoted as motion-compensated temporal filtering (MCTF), which is presently investigated for standardization. Mobile sensor networks are raising the future demand for more low-complexity encoders. This might be supported by distributed source coding methods, where the decoder takes over efforts to estimate the state of the source instead of executing simple decoding processes. In a more generic view, advanced video decoding could be supplemented by even more elements of source/channel estimation and signal synthesis. The talk will analyse on some of these trends and investigate perspectives and potentials.

Jens-Rainer Ohm received the Dipl.-Ing. degree in 1985, the Dr.-Ing. degree in 1990, and the habil. degree in 1997, all from Technical University of Berlin (TUB), Germany. From 1985 to 1990, he was a research and teaching assistant with the Institute for Telecommunications at TUB. From 1990 to 1995, he performed work within government-funded research projects on image and video coding at the same location. From 1992 to 2000, he has also served as lecturer on topics of digital image processing, coding and transmission at TUB.

From 1996 to 2000, he was project manager/coordinator at the Image Processing Department of Heinrich Hertz Institute (HHI) in Berlin. He was involved in research projects on motion-compensated, stereoscopic and 3-D image processing, image/video coding and content description for image/video database retrieval. Since 1998, he participates in the work of the Motion Pictures Experts Group (MPEG), where he has been active in the development of MPEG-4 and MPEG-7 standards. Presently, he is chairing the Video Subgroup of MPEG.

In 2000, Dr. Ohm was appointed the chair position of the Institute of Communication Engineering at Aachen University of Technology (RWTH), Germany. His present research and teaching activities are in the areas of multimedia communication, multimedia signal processing/coding and services for mobile networks, with emphasis on video signals, also including fundamentals of digital communication systems. Prof. Ohm has authored textbooks on multimedia signal processing, analysis and coding, on communications engineering and signal transmission, as well as numerous papers in the various fields mentioned above.

ERIC BADIQUE European Commission, Brussels


The presentation will start with a broad overview of European support mechanisms to collaborative research. It will then focus on past achievements and current activities that relate to signal processing within the Information Society Technologies Programme. Examples of key projects and initiatives will be given as well as guidance and advice on future calls for proposals. Finally, the main orientations for support within the next Framework Programme - to start in 2007 - will be described and discussed with the audience.

Eric Badiqué obtained his PhD in Engineering Science from the University of Besançon, France in 1988 and the Master of Physics from Ball State University, Muncie, USA in 1983. From 1984 to 1988 he was a Visiting Scientist at Tokyo Institute of Technology working on digital image processing. From 1988 to 1992 he worked as a research engineer on low bit-rate video coding at Philips Communications in Nuernberg, Germany. He joined the European Commission in 1992 as a Project Officer in the Digital Media area. He is currently part of the Strategy for ICT Research and Development Unit of DG INFSO where he contributes to portfolio analysis, impact assessment and Work Programme preparation.

Khalid Sayood, University of Nebraska-Lincoln  


At the heart of data compression is the search for how information is organized in data. This search for organization can focus on the data itself, on the source of the information, or on the sink, or user of the information. Analogous approaches can be used to identify how information is organized in the DNA sequence. In this talk we describe how techniques which have proven useful in developing compression algorithms are also capable of helping uncover organizational structures in DNA sequences. We also show how this process of discovery can lead to the development of tools which are useful in investigating and perhaps understanding genomic sequences.

Khalid Sayood is the Henson Professor of Engineering at the University of Nebraska-Lincoln. He received his BS and MS in Electrical Engineering from the University of Rochester in 1977 and 1979 respectively, and his PhD in Electrical Engineering from Texas A&M University in 1982. He joined the University of Nebraska in 1982. He served as the founding head of the Computer Vision and Image Processing group at the Turkish National Research Council Informatics institute during 1995-96 and spent the 1996-97 academic year as a visiting professor at Bogazici University .   His research interests include data compression, joint source channel coding and bioinformatics. He is the author of Introduction to Data Compression} published by Morgan Kaufmann, Understanding Circuits: Learning Problem Solving Using Circuit Analysis published by Morgan-Claypool, and the editor of the Handbook of Lossless Compression} published by Academic Press.


ABSTRACT: A historical overview of optical information processing, emphasizing the influence of and interactions with signal processing and linear systems theory will be given. Both analog and digital optical signal processing will be compared and contrasted with common digital signal processing. Current and future trends, including digital optical computing, optical interconnections, and communications switching will also be discussed.

RESUME: Haldun M. Ozaktas received a BS degree from Middle East Technical University, Ankara in 1987, and a PhD degree from Stanford University, California in 1991. He joined Bilkent University, Ankara in 1991, where he is presently Professor of Electrical Engineering. In 1992 he was at the University of Erlangen-Nurnberg, Bavaria as an Alexander von Humboldt Foundation Postdoctoral Fellow. Over the summer of 1994 he worked as a Consultant for Bell Laboratories, New Jersey. He is the author of over 75 refereed journal articles, one book, many book chapters, and over 65 conference presentations and papers, 20 of which have been invited. 4 of his articles have been reprinted as milestone works and 5 of his articles have received more than 100 citations each. A total of about 2000 citations to his work are recorded in the Science Citation Index (ISI). He is the recipient of the 1998 ICO International Prize in Optics and one of the youngest recipients ever of the Scientific and Technical Research Council of Turkey Science Award (1999), among other awards and prizes. Haldun M. Ozaktas is also one of the youngest members of the Turkish Academy of Sciences and a Fellow of the Optical Society of America. His academic interests include optical information processing, signal and image processing, and optoelectronic and optically interconnected computing systems.


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