11th Int'l Symposium on Image and Signal Processing and Analysis (ISPA 2019)
23-25 September 2019, Dubrovnik, Croatia
Plenary Speaker: Professor André Kaup
Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-Nürnberg, Germany
Lecture title: Signal Processing for Next Generation Video Communication Systems
Video recording, transmission, and playback are widespread features of modern electronic consumer devices such as smart phones, digital cameras, and networked television systems. Thereby, the demand on image resolution, visual quality, and video functionality is steadily increasing, in turn raising a number of new and interesting research issues. In this talk we will focus on some recent developments in the field of signal processing for next generation video communication systems. First we address ultra-wide angle fisheye lenses, as used in surveillance and automotive applications, which produce video data with characteristics that differ significantly from perspective pinhole cameras. We will show how including an appropriate projection function can considerably improve video compression as well as temporal frame interpolation. Next, we focus on energy efficiency of video coding systems, where we will explain how including a suitable energy model into the rate-distortion optimization of the encoder can substantially increase battery lifetime during video playback. Finally, we will introduce random sampling as a promising concept for efficient scalable reconstruction of visual data.
André Kaup received the Dipl.-Ing. and Dr.-Ing. degrees in electrical engineering from RWTH Aachen University, Aachen, Germany, in 1989 and 1995, respectively. He was with the Institute for Communication Engineering, RWTH Aachen University, from 1989 to 1995. He joined the Networks and Multimedia Communications Department, Siemens Corporate Technology, Munich, Germany, in 1995 and became Head of the Mobile Applications and Services Group in 1999. Since 2001 he has been a Full Professor and the Head of the Chair of Multimedia Communications and Signal Processing at Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany. From 1997 to 2001 he was the Head of the German MPEG delegation. From 2005 to 2007 he was a Vice Speaker of the DFG Collaborative Research Center 603. From 2015 to 2017 he served as Head of the Department of Electrical Engineering and Vice Dean of the Faculty of Engineering at FAU.
André Kaup is a member of the IEEE Multimedia Signal Processing Technical Committee, a member of the scientific advisory board of the German VDE/ITG, and a Fellow of the IEEE. He served as an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology and was a Guest Editor for IEEE Journal of Selected Topics in Signal Processing. From 1998 to 2001 he served as an Adjunct Professor with the Technical University of Munich, Munich. He was a Siemens Inventor of the Year 1998 and obtained the 1999 ITG Award. He received several best paper awards including the Paul Dan Cristea Special Award in 2013, and his group won the Grand Video Compression Challenge at the Picture Coding Symposium 2013. The Faculty of Engineering at FAU honored him with the Teaching Award in 2015. In 2018 he was elected full member of the Bavarian Academy of Sciences. He has authored around 350 journal and conference papers and has over 100 patents granted or pending. His research interests include image and video signal processing and coding, and multimedia communication.
Plenary Speaker: Professor P. P. Vaidyanathan
Kiyo and Eiko Tomiyasu Professor of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA
Lecture title: The math genius Ramanujan and Digital Signal Processing
The great Indian mathematician Srinivasa Ramanujan introduced a summation in 1918, called the Ramanujan-sum. For many years this summation was used by mathematicians to prove important results in number theory. In recent years, some researchers have found applications of this sum in digital signal processing, especially in identifying periodic components of signals buried in noise. In our recent work we have generalized the Ramanujan-sum decomposition in several directions, and this has opened up some new theory as well as applications. Many beautiful properties are enjoyed by the new representations, thanks to the genius and vision of Ramanujan. In this talk we briefly talk about Ramanujan as a person and then give an overview of the new developments. Applications in the study of DNA and protein sequences will be presented among others.
Prof. Vaidyanathan is the Kiyo and Eiko Tomiyasu Professor of Electrical Engineering at the California Institute of Technology where he has been on the faculty since 1983. He also served as the department head for the period 2002-2005. He has authored more than 500 papers in the areas of digital signal processing and communications, and several of his papers have received prizes from the IEEE. He is the author/coauthor of the four books, and a Fellow of the IEEE. Some of his recognitions include the F. E. Terman Award of the American Society for Engineering Education, the IEEE CAS Society's Golden Jubilee Medal, and several awards for excellence in teaching at the California Institute of Technology, including the Northrop-Grumman prize for excellence in teaching. He has also received the IEEE Signal Processing Society's Technical Achievement Award, Education Award, and the “Society Award”. He received the IEEE Gustav Robert Kirchhoff Award (an IEEE Technical Field Award) in 2016, for “Fundamental contributions to digital signal processing.” He was elected to the U.S. National Academy of Engineering in 2019.
Plenary Speaker: Professor Edoardo Provenzi
Institute of Mathematics, University of Bordeaux, France
Lecture title: Towards a new model for the space of perceived colors
Resnikoff's model of the space of perceived colors P, proposed in 1974, introduced important insights about the geometrical structure of P that passed unnoticed for more than 40 years. In the first part of the presentation, I will recap Resnikoff's work by underlying the basic results that he obtained. In the second part, I will show some drawbacks of his theory and discuss how we can overcome them with the use of Jordan algebras. Finally, I will put the accent on the exigence of some new psycho-physical experiments needed to validate some mathematical hypotheses.
Edoardo Provenzi received a master in Theoretical Physics from the university of Milan in 2000 and a PhD in mathematics and applications from the university of Milan in 2004. After two post-docs in Italy and in Spain, he was hired as Associate Professor at Université Paris Descartes in 2014 and as a Full Professor at Université de Bordeaux in 2017. He has been working on variational models of color vision and processing, high dynamic range images and statistics of natural images. His main actual interest is in the quantum-relativistic geometric reformulation of colorimetry.