SCHEDULE AT A GLANCE

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Tel: +86-773-2898888  Fax:+86-773-2822101

SPG: Oral Presentation for Signal Processing Track

COM: Oral Presentation for Communication Track

CPT: Oral Presentation for Computing Track

Poster: Poster Presentation

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Conference Keynotes

Abstract:

We always use our video surveillance system as one of the major kernels for signal processing research, since it requires a large number of modern and hi-tech components. These include video coding (with H.264 codec or HEVC), scene recording, object recognition, object tracking, etc. In this talk we will start with highlighting some of our consultancy works on video surveillance, which reveals the emerging need for further development of video technologies. We will than introduce our recent research works on inter and intra-frame video coding, which include information reuse techniques for motion estimation, and novel mode skipping and direction difference measures for fast intra-frame coding and video re-encoding applications. Our strategy on research relating academic and industrial research will then be discussed. Moving towards high-resolution videos is certainly a trend, which makes image interpolation and super-resolution video become an important topic. We will highlight our recent work on using DCT techniques for fast and quality video interpolation and conclude the talk with our recent project on video aided touring with connected cameras via internet. This forms a big data problem and an example of IoT (Internet of Things) study. Fruitful demonstrations and illustrations will be included, and the presentation will end with brief ideas on new trends and future applications.

Speaker:

Porf. Wan-Chi Siu received the PhD degree from Imperial College of Science, Technology & Medicine in 1984, London, and is a Fellow of the IEEE, IET and HKIE. He joined the Hong Kong Polytechnic University in 1980 and has become Chair Professor in the Department of Electronic and Information Engineering since 1992. Prof. Siu is now also Director of the Centre for Signal Processing, and was Head (EIE) and subsequently Dean of Engineering Faculty between 1994 and 2002 of the same university. Professor Siu is an expert in Digital Signal Processing, specializing in fast algorithms, video coding and pattern recognition. He has published over 400 research papers (out of which 190 appeared in international journals such as IEEE Transactions on Image Processing) and has 8 recent patents published or granted. Prof. Siu is also an independent non-executive director of the Teleeye Holding Ltd which is a listed video surveillance company. These explain his great interest working on both academic research and industrial R&D directions. His works on motion estimation, transcoding and DCT algorithms are well received by academic peers with high citations, and many of his research works have also been ported into industrial uses for hi-tech development.  

Prof. Siu is a Vice President of the IEEE Signal Processing Society, Chairman of Conference Board and a core member of the Board of Governors (2012–2014). He is/was guest editor and associate editor of a number of IEEE and other journals, such as IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems. He is a very popular lecturing staff member within the University, while outside the University he has been a keynote speaker of over 12 international/national conferences in the recent 10 years. He received many awards, such as Distinguished Presenter Award, the Best Teacher Award, the Best Paper Award and IEEE Third Millennium Medal. He is the General Chair and Technical Program Chair of several prestigious IEEE Society flagship international conferences (including ICIP'2010, ICASSP'2003 and ISCAS'1997). He is the chairman of many assessment panels and committees for professional bodies. In particular, in 1993/94, he chaired the first Engineering and Information Technology Panel of the Research Assessment Exercise (RAE) to initiate some milestone basic measures on research quality and to assess the research quality of academia in universities, which gives a long-term impact to the development of quality research in Hong Kong.

ABSTRACT

Evolving Fifth Generation (5G) wireless networks are expected to overcome challenges of existing cellular networks. Visible challenges include: legions of connected devices and high traffic volume, high data rate and low latency, disparate user requirements and characteristics, mobility management in different radio access technologies, end-to-end performance, user coverage in hotspots, limitations of millimeter-wave technologies and efficient energy design.

Achieving better performance without significant increase in energy consumption is a challenging design consideration in 5G networks. We start off with a quick overview of energy savings in base stations, energy efficient cognitive and cooperative communications and energy-efficient methods for BS sleeping and cell zooming in multi-tier cellular networks. We will then consider energy harvesting as an enabling technology to achieve the dual target of reducing energy consumption in base stations and removing the constraint of limited battery life in low power wireless devices for 5G networks. The presentation will conclude with a discussion of different energy harvesting techniques and challenges associated with them.

BIOGRAPHY

Vijay Bhargava is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia in Vancouver, where he served as Department Head during 2003-2008. During 1984-2003 he was with the University of Victoria and during 1976-1984 he was with Concordia University in Montreal. Vijay received his PhD from Queen's University in 1974. He is listed in the Thomson Reuters Institute for Scientific Information (ISI) Highly Cited list.

Vijay is a co-author (with D. Haccoun, R. Matyas and P. Nuspl) of "Digital Communications by Satellite" (New York: Wiley: 1981) and co-editor of five books the latest of which (with E. Hossain and G. Fettweis) is “Green Radio Communications Networks” (Cambridge University Press 2012).

Vijay is a Fellow of the IEEE, The Royal Society of Canada, The Canadian Academy of Engineering and the Engineering Institute of Canada. He is a Foreign Fellow of the National Academy of Engineering (India) and has served as a Distinguished Visiting Fellow of the Royal Academy of Engineering (U.K.). He has received numerous awards for his teaching, research and service.

Vijay has served as an Editor-in-Chief of the IEEE Transactions on Wireless Communications. He is a past President of the IEEE Information Theory Society and a Past President of the IEEE Communications Society.

ABSTRACT

In the past two and a half decades, Monte Carlo-based methods have become one of the most important approaches for resolving highly challenging problems in statistical signal processing. They are computationally intensive and are based on repeated generation of random samples. To the generated samples, one assigns weights so that one can approximate various probability distributions of interest. The estimated distributions are subsequently used for statistical inference. The Monte Carlo-based methods are widely used in both batch-type and dynamic settings. In this presentation, the aim is to provide an overview of these methods, their history and their state-of-the art. The aim, too, is to discuss future directions of research with these methods.

BIOGRAPHY

Petar M. Djurić received the B.S. and M.S. degrees in electrical engineering from the University of Belgrade, Belgrade, Yugoslavia, in 1981 and 1986, respectively, and the Ph.D. degree in electrical engineering from the University of Rhode Island, Kingston, RI, USA, in 1990. He is currently a Professor with the Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA, where he joined in 1990. From 1981 to 1986, he was a Research Associate with the Vinča Institute of Nuclear Sciences, Belgrade. His research has been in the area of signal and information processing with primary interests in the theory of signal modeling, detection, and estimation; Monte Carlo-based methods; distributed signal processing; and applications of the theory in a wide range of disciplines. He has been invited to lecture at many universities in the United States and overseas. Prof.  Djurić was a recipient of the IEEE Signal Processing Magazine Best Paper Award in 2007 and the EURASIP Technical Achievement Award in 2012. In 2008, he was the Chair of Excellence of Universidad Carlos III de Madrid-Banco de Santander. From 2008 to 2009, he was a Distinguished Lecturer of the IEEE Signal Processing Society. He has been on numerous committees of the IEEE Signal Processing Society and of many professional conferences and workshops. Prof. Djurić is a Fellow of the IEEE.

ABSTRACT

Since the very beginning of transmission and reproduction of audio signals, undistorted signal capture and immersive reproduction were always seen as crucial features of high quality. With the arrival of teleconferencing systems, immersive multichannel reproduction became part of telecommunication systems, and the according terminals developed into multi-functional human/machine interfaces, supporting not just telecommunication but also gaming, simulators, control consoles interactive home theatres and many other purposes. Along with increasingly powerful and cost-effective signal processing hardware, the according acoustic signal processing algorithms developed dramatically over the last decade striving for perfect solutions for the fundamental challenges of acoustic interfaces: Acoustic feedback from loudspeakers to microphones, noise and interfering sources, and reverberation in enclosures.

In this talk, we will shortly review the fundamental problems and then highlight some recent   developments for massive multichannel reproduction, signal extraction, source localization, dereverberation, as well as distant-talking speech recognition, and then point to applications in immersive reproduction, hearing aids, smartphones, and robot audition. Thereby, we will also outline promising avenues for future research. 

BIOGRAPHY

Walter Kellermann is a professor for communications at the University of Erlangen-Nuremberg, Germany, since 1999. He received the Dipl.-Ing. (univ.) degree in Electrical Engineering in 1983, and the Dr.-Ing. degree in 1988. From 1989 to 1990, he was a postdoctoral Member of Technical Staff at AT&T Bell Laboratories, Murray Hill, NJ. Dr. Kellermann authored or co-authored 16 book chapters and more than 200 refereed papers and was co-recipient of several best paper awards for IEEE publications. He served as associate editor and as guest editor to various journals and was a general chair for several international conferences. His service to the IEEE Signal Processing Society includes Distinguished Lecturer for 2007 and 2008, Chair of the IEEE SPS Technical Committee for Audio and Acoustic Signal Processing from 2008 to 2010, and Member at Large at the SPS Board of Governors (2013-2015). He is an IEEE Fellow.

Session Schedule

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Supporting organizations

History of International Conference on Signal Processing, Communications and Computing

The Conference was initiated and organized by IEEE Xian Section and Hong Kong Section in 2011. 

The first Conference, ICSPCC2011,  was held in Xian, China. 

The second one, ICSPCC2012, was held in Hong Kong. 

The third one, ICSPCC2013, was held in Kunming, China.