Quickly grasp and understand the key principles in image and video compression and multimedia from world-wide leading experts
Image/Video Compression Introduction and Overview -Dave Bull 1. Motion Estimation - Methods and Performance -Frederic Dufaux 2. Perceptually Optimised Video Compression -Matteo Naccari and Marta Mrak 3. Multiple Description Coding -Neeraj Gadgil and Meilin Yang 4. Video Error Concealment -D. Agrafiotis 5. Stereoscopic and Multiview Video Coding -Mark Pickering 6. High Efficiency Video Coding - A Solution for the Compression of Next Generation Content -Yanxiang Wang 7. Texture Analysis and Synthesis Methods for Video -Patrick Ndjiki-nya Multimedia, Security and Forensics Introduction and Overview –Min Wu 8. Joint Audio-Visual Processing -Zhu Liu 9. Multimedia Streaming -Beatrice Pesquet 10. Multimedia Content-based Retrieval -Qi Tian
Sergios Theodoridis is professor of machine learning and signal
processing with the National and Kapodistrian University of Athens,
Athens, Greece and with the Chinese University of Hong Kong,
Shenzhen, China.
He has received a number of prestigious awards, including the 2014
IEEE Signal Processing Magazine Best Paper Award, the 2009 IEEE
Computational Intelligence Society Transactions on Neural Networks
Outstanding Paper Award, the 2017 European Association for Signal
Processing
(EURASIP) Athanasios Papoulis Award, the 2014 IEEE Signal
Processing Society Education Award, and the 2014 EURASIP
Meritorious Service Award. He has served as president of EURASIP
and vice president for the IEEE Signal Processing Society and as
Editor-in-Chief IEEE Transactions on Signal processing. He is a
Fellow of EURASIP and a Life Fellow of IEEE.
He is the coauthor of the best selling book Pattern Recognition,
4th edition, Academic Press, 2009 and of the book Introduction to
Pattern Recognition: A MATLAB Approach, Academic Press, 2010. Prof.
Rama Chellappa received the B.E. (Hons.) degree from the University
of Madras, India, in 1975 and the M.E. (Distinction) degree from
Indian Institute of Science, Bangalore, in 1977. He received
M.S.E.E. and Ph.D. Degrees in Electrical Engineering from Purdue
University, West Lafayette, IN, in 1978 and 1981 respectively.
Since 1991, he has been a Professor of Electrical Engineering and
an affiliate Professor of Computer Science at University of
Maryland, College Park. He is also affiliated with the Center for
Automation Research (Director) and the Institute for Advanced
Computer Studies (Permanent Member). In 2005, he was named a Minta
Martin Professor of Engineering. Prior to joining the University of
Maryland, he was an Assistant (1981-1986) and Associate Professor
(1986-1991) and Director of the Signal and Image Processing
Institute (1988-1990) at University of Southern California, Los
Angeles.
Over the last 29 years, he has published numerous book chapters,
peer-reviewed journal and conference papers. He has co-authored and
edited books on MRFs, face and gait recognition and collected works
on image processing and analysis. His current research interests
are face and gait analysis, markerless motion capture, 3D modeling
from video, image and video-based recognition and exploitation and
hyper spectral processing. Professor David R. Bull PhD, FIET,
FIEEE, CEng. obtained his PhD from the University of Cardiff in
1988. He currently holds the Chair in Signal Processing at the
University of Bristol where he is head of the Visual Information
Laboratory and Director of Bristol Vision Institute, a group of
some 150 researchers in vision science, spanning engineering,
psychology, biology, medicine and the creative arts. In 1996 David
helped to establish the UK DTI Virtual Centre of Excellence in
Digital Broadcasting and Multimedia Technology and was one of its
Directors from 1997-2000. He has also advised Government through
membership of the UK Foresight Panel, DSAC and the HEFCE Research
Evaluation Framework. He is also now Director of the UK
Government’s new MyWorld Strength in Places programme.
David has worked widely across image and video processing focused
on streaming, broadcast and wireless applications. He has published
over 600 academic papers, various articles and 4 books and has
given numerous invited/keynote lectures and tutorials. He has also
received awards including the IEE Ambrose Fleming Premium for his
work on Primitive Operator Digital Filters and a best Paper Award
for his work on Link Adaptation for Video Transmission. David’s
work has been exploited commercially and he has acted as a
consultant for companies and governments across the globe. In 2001,
he co-founded ProVision Communication Technologies Ltd., who
launched the world’s first robust multi-source wireless HD sender
for consumer use. His recent award-winning and pioneering work on
perceptual video compression using deep learning, has produced
world-leading rate-quality performance.
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