IEEE Signal Processing Society Vancouver Chapter


·         July 30, 2010 talk (IEEE Signal Processing Society Distinguished Lecturer Talk): “Understanding and Managing Interference in Wireless Networks” by Prof. Venu Veeravalli from University of Illinios at Urbana-Champaign.

·       June 14, 2010 talk : “Cooperation Stimulation in Peer-to-Peer Live Streaming” by Prof. H. Vicky Zhao from University of Alberta.

·       June 3, 2010 talk (IEEE Signal Processing Society Distinguished Lecturer Talk): “Structural Results in Networked Sensor Management” by Prof. Vikram Krishnamurthy from University of British Columbia (UBC).

·         May 28, 2010: IEEE mini-symposium on engineering for biomedical applications

·       Mar. 26, 2010 talk (IEEE Signal Processing Society Distinguished Lecturer Talk): “From Single Media to Multimedia - Perception, Coding, and Quality” by Prof. Sheila Hemami from Cornell University.

·       Oct. 16, 2009 talk (IEEE Signal Processing Society Distinguished Lecturer Talk): “The Particle Filtering Methodology in Signal Processing ” by Prof. Petar Djuric from Stony Brook University.

·       Oct. 5, 2009talk:Developments in Biometric Templates Protection” by Dr. Ton Kalker from HP Labs.

·       Sep. 25, 2009talk: Wireless Sensors Networks: A New Life Paradigm” by Prof. Magdy Bayoumi from University of Louisiana.

·       May 15, 2009 talk (IEEE Signal Processing Society Distinguished Lecturer Talk): “Flow Detection and Anonymous Networking” by Prof. Tong from Cornell University.

·       July 18, 2008 talk: “A Few Tricks for Anti-Piracy of Digital and Physical Goods” by Dr. Darko Kirovski from Microsoft Research, USA.

·         May 8, 2008 talk (IEEE Signal Processing Society Distinguished Lecturer Talk): "From Image Analysis to Content Extraction: Are We There Yet? " by Prof. Tsuhan Chen from Carnegie Mellon University.

·         Feb. 28, 2008 talk: "Joint Coding and Embedding Framework for Multimedia Fingerprinting" by Dr. Shan He from Thomson Corporate Research.

·         October 15, 2007 talk: “On the Root of Digital Signal Processing” by Dr. Andreas Antoniou from UVic.


July 30, 2010 DL talk: Understanding and Managing Interference in Wireless Networks

Speaker: Prof. Venugopal V. Veeravalli

Electrical & Computer Engineering Dept., University of Illinios at Urbana-Champaign, USA


·        Time: Friday, July 30, 2010, 3:30pm to 4:30pm

·        Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


The understanding of point-to-point wireless communications channels with fading and receiver thermal noise is mature. Recent advances, particularly in the area of multiantenna communications, have led to significant increases in the capacity and reliability of point-to-point links. However, modern wireless networks are limited by interference from other links. While the information theory for interference networks is still in its infancy, several techniques are being explored in the research community for managing interference, while maintaining high spectral spatial reuse efficiencies in these networks. These techniques include spatial user separation, interference cancellation, user cooperation and relaying, dynamic spectrum access, and interference alignment. The first half of this talk will be an overview of these techniques. In the second half of this talk, we will discuss some of our recent results towards an understanding of the information-theoretic capacity of interference networks.  We first discuss a partial solution to the capacity of the two-user interference channel in the weak interference regime, a problem that has been open for more than thirty years. We also discuss new techniques for exploiting partial transmitter cooperation in interference channels in optimal ways.

Biography of Prof. Venu Veeravalli:

Venu Veeravalli received the Ph.D. degree in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1992. He is currently a Professor in the department of Electrical and Computer Engineering, and a Research Professor in the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. He was on the faculty of the School of ECE at  Cornell University before he joined Illinois in 2000. He served as a program director for communications research at the U.S. National Science Foundation in Arlington, VA during 2003-2005. His research interests include wireless communications, distributed sensor systems and networks, detection and estimation theory, and information theory.  He is a Fellow of the IEEE, and a recipient of the IEEE Browder J. Thompson Best Paper Award and the Presidential Early Career Award for Scientists and Engineers (PECASE).

June 14, 2010 talk: Cooperation Stimulation in Peer-to-Peer Live Streaming

Speaker: Prof. H. Vicky Zhao  

Electrical & Computer Engineering Dept., University of Alberta, Canada


·        Time: Monday, June 14, 2010, 3:30pm to 4:30pm

·        Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


With recent advances in multimedia, communications and networking technologies, peer-to-peer (P2P) live streaming becomes increasingly popular, and we have seen many successful deployments, for example, PPLive, CoolStreaming, Sopcast, etc. To provide reliable and satisfactory level of service, it is of crucial importance to stimulate user cooperation, to understand how users interact with each other, and to analyze the impact of human factors on P2P live streaming systems. Such an understanding provides fundamental guidelines to better design of P2P live streaming systems, and to offer more secure and personalized services. Human and social dynamics has recently been identified by US National Science Foundation as one of its five priority areas, which also shows the importance of this emerging interdisciplinary research area. This talk introduces our recent works on cooperation stimulation for P2P live streaming systems. First, the mesh-pull peer-to-peer live streaming systems will be introduced. Then, a game-theoretic framework will be proposed to model and analyze user dynamics in P2P live streaming and to stimulate user cooperation. Finally, different defensive mechanisms will be explored to resist pollution attacks and stimulate user cooperation even under attacks. 

Biography of Prof. H. Vicky Zhao:

H. Vicky Zhao (M'05) received the B.S. and M.S. degree from Tsinghua University, China, in 1997 and 1999, respectively, and the Ph. D degree from University of Maryland, College Park, in 2004, all in electrical engineering. She was a Research Associate with the Department of Electrical and Computer Engineering and the Institute for Systems Research, University of Maryland, College Park from Jan. 2005 to July 2006. Since August 2006, she has been an Assistant Professor with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada.  Dr. Zhao’s research interests include information security and forensics, multimedia social networks, digital communications and signal processing. Dr. Zhao received the IEEE Signal Processing Society (SPS) 2008 Young Author Best Paper Award. She co-authored the book "Multimedia Fingerprinting Forensics for Traitor Tracing" (Hindawi, 2005). She is the Associate Editor for IEEE Signal Processing Letters and Elsevier Journal of Visual Communication and Image Representation.

June 3, 2010 DL talk: Structural Results in Networked Sensor Management

Speaker: Prof. Vikram Krishnamurthy

Electrical & Computer Engineering Dept., University of British Columbia, Canada


·        Time: Thursday, June 3, 2010, 3:30pm to 4:30pm

·        Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


This seminar deals with sensor activation and social learning in sensor networks using game theoretic and stochastic control methods.The talk comprises of three parts. In the first part, we describe how social learning leads to rational herding and how optimized social learning has a threshold structure on the simplex of Bayesian posterior distributions. In the second part of the talk, we illustrate how the theory of global games gives a powerful method for designing decentralized data-aware sensor activation algorithms in dense sensor networks. We show that the Nash equilibrium of the sensor network has a simple threshold structure and exhibits a remarkable phase transition as more data is collected. In the third part of the talk we describe how decentralized adaptive filtering algorithms with regret matching can be deployed in sensor networks to guide network behavior to a correlated equilibrium. A major theme of the talk will be the focus on structural properties and convergence analysis that result in numerically efficient algorithms rather than brute force computational methods.

Biography of Prof. Vikram Krishnamurthy:

Vikram Krishnamurthy received his Ph.D from the Australian National University, Canberra, in 1992. He currently is a professor and Canada Research Chair at the Department of Electrical Engineering, University of British Columbia, Vancouver, Canada. His current research interests include computational game theory and stochastic control in sensor networks, and stochastic dynamical systems for modeling of biological ion channels and biosensors. In 2009-2010, he serves as Distinguished lecturer for the IEEE signal processing society. He also serves as editor in chief of IEEE journals selected topics in Signal Processing.

May 28, 2010: IEEE mini-symposium on engineering for biomedical applications

·        Host: Joint Communications Chapter; Engineering in Medicine and Biology Chapter; Signal Processing Chapter

·     Date/Time: Friday, May 28, 2010 1:00pm - 4:30pm

·     Place: McKesson Medical Imaging Group, 130-10711 Cambie Road, Richmond, BC, Canada

·     Technical Program:

This event is free-of-charge and open to all members of the engineering community. However, pre-registration is required. Please send your name and affiliation to with the subject line “Registration - 28 May 2010” and indicate if you are an IEEE member.


This three-hour event will bring together academic researchers and industry experts to review recent progress and opportunities related to engineering for biomedical applications. A keynote presentation will be followed by several shorter presentations. The timing and location of the event is designed to facilitate participation by attendees from the BC Interior, Vancouver Island, Alberta and Washington State.

Mar. 26, 2010 talk: From Single Media to Multimedia - Perception, Coding, and Quality

Speaker: Prof. Sheila S. Hemami

School of Electrical & Computer Engineering, Cornell University, USA


·        Time: Friday, Mar. 26, 2010, 3:30pm to 4:30pm

·        Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


Humans are the ultimate consumers of multimedia information, and effective system design requires a performance metric.  While such metrics have been extensively studied for single-media perception for one or more decades, those for multimedia perception and use are still in their relative infancy.  In this talk, I will focus on the development of single-media quality metrics for audio and visual information, and contrast it with the development of appropriate metrics for multimedia information.  I will describe how humans perceive single-media information, how an understanding of perception has been incorportated into single-media coding and then quality measurement, and I will discuss the current state of understanding of multimedia perception as it has been applied to coding and quality measurement problems.

Biography of Prof. Sheila Hemami:

Sheila S. Hemami (F) received the B.S.E.E. degree from the University of Michigan in 1990, and the M.S.E.E. and Ph.D. degrees from Stanford University in 1992 and 1994, respectively. Her Ph.D. thesis was entitled "Reconstruction of Compressed Images and Video for Lossy Packet Networks" and she was one of the first researchers to work on what we now call "error concealment." She was with Hewlett-Packard Laboratories in Palo Alto, California in 1994 and worked on video-on-demand. She joined the School of Electrical Engineering at Cornell University in 1995, where she holds the title of Professor and directs the Visual Communications Laboratory.

Dr. Hemami's research interests broadly concern communication of visual information, both from a signal processing perspective (signal representation, source coding, and related issues) and from a psychophysical perspective. Dr. Hemami is an IEEE Fellow and has held various visiting positions, most recently at the University of Nantes, France and at Ecole Polytechnique Federale de Lausanne, Switzerland. She has received numerous college and national teaching awards, including Eta Kappa Nu's C. Holmes MacDonald Award. She is currently Editor-in-Chief, IEEE Transactions on Multimedia (2008-10); Member-at-Large of the IEEE Signal Processing Society Board of Governors (2009-11), and an SPS Distinguished Lecturer (2010-11). She has Chaired the IEEE Image and Multidimensional Signal Processing Technical Committee (2006-07); and served as Associate Editor, IEEE Transactions on Signal Processing (2000-06).

  Oct. 16, 2009 talk: The Particle Filtering Methodology in Signal Processing

Speaker:  Prof. Petar Djuric

Dept. of Electrical & Computer Engineering, Stony Brook University, USA


·        Time: Friday, Oct. 16, 2009, 11:00am to 12:00pm

·        Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


Particle filtering is a Monte Carlo – based methodology for sequential signal processing. It is designed for estimation of hidden processes that are dynamic and that can exhibit most severe nonlinearities. Also, it can be applied with equal ease to problems that involve any type of probability distributions. Therefore, it is not surprising that particle filtering has gained immense popularity. In this talk, first, the basics of particle filtering will be provided with description of its essential steps. Then some important topics of the theory will be addressed including Rao-Blackwellization, smoothing, and estimation of constant parameters.  Finally, a presentation of most recent advances in the theory will be given. The talk will contain signal processing examples which will aid in gaining valuable insights about the methodology.

Biography of Prof. Petar Djuric:

Petar M. Djuric (F) received his B.S. and M.S. degrees in Electrical Engineering from the University of Belgrade, in 1981 and 1986, respectively, and his Ph.D. degree in Electrical Engineering from the University of Rhode Island (1990). From 1981 to 1986, Prof. Djuric was a Research Associate with the Institute of Nuclear Sciences, Vinca, Belgrade. Since 1990, he has been with Stony Brook University, where he is Professor, Department of Electrical and Computer Engineering. His research interests are in the area of statistical signal processing, and his primary interests are in the theory of modeling, detection, estimation, and time series analysis and its application to a wide variety of disciplines including wireless communications and biomedicine.

Prof. Djuric has served on numerous technical committees for the IEEE and has been invited to lecture at universities in the United States and overseas. His SPS activities include: Vice President-Finance (2006-09); Area Editor of Special Issues, IEEE Signal Processing Magazine (2002-05); Associate Editor, IEEE Transactions on Signal Processing (1994-96 and 2003-05); Chair, SPS Signal Processing Theory and Methods Technical Committee (2005-06); and Treasurer, SPS Conference Board (2001-03). He is an Editorial Board Member, IEEE Journal on Special Topics in Signal Processing, Elsevier Digital Signal Processing, Elsevier Signal Processing, and the EURASIP Journal on Wireless Communications and Networking. Prof. Djuric is an IEEE Fellow, as well as a Member of the American Statistical Association and the International Society for Bayesian Analysis.


     Oct. 5, 2009 talk: Developments in Biometric Templates Protection

Speaker:  Dr. Ton Kalker

Multimedia Communications & Networking Lab, HP Labs, Palo Alto, CA, USA


·        Time: Monday, Oct. 5, 2009, 3:00pm to 4:00pm

·        Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


An unfortunate side effect of the growth of the Internet and its associated services is an increasing need to securely store and manage a multitude of user identities and passwords. Very often the numbers that need to be managed are too large to be practical, and people resort to re-using passwords and/or using simple (and guessable) schemes for password generation. Biometrics is often proposed as a way out of this dilemma: biometric data are unique to a person, they are hard to replicate, and they don't need to be remembered. However, biometric data for authentication suffer from a number of potential pitfalls that need to be resolved before they can replace classical password schemes. One example would be the lack of renewability of a biometric template: once a biometric template has been compromised, there is no obvious way to renew authentication data. In this talk, we will give an overview of issues around biometric template detection, addressing both threats and potential solutions. In particular we will discuss some recent results on the rate of biometric authentication schemes as a function of biometric information leakage.

Biography of Dr. Ton Kalker:

Dr. Ton Kalker is a Distinguished Technologist at Hewlett-Packard Laboratories. His interests are in the fields of signal and audio-visual processing, media security, biometrics, information theory and cryptography. He has made significant contributions to media security, in particular digital watermarking, robust media identification and interoperability of Digital Rights Managements systems. His solution for standardization of video watermarking for DVD copy protection was accepted as the core technology for the proposed DVD copy protection standard and earned him the title of Fellow of the IEEE. He laid the foundation of the Content Identification business unit of Philips Electronics, which was successful in commercializing watermarking and other identification technologies. At Philips, he co-authored 30 patents and 39 patent applications.

Since joining Hewlett-Packard in 2004, he has focused on the problem of non-interoperability of DRM systems. He became one of the three lead architects of the Coral consortium, publishing a standard framework for DRM interoperability in the summer of 2007. He also participates actively in the academic community, through students, publications, keynotes, lectures, membership in program committees and serving as conference chair. He is a co-founder of the IEEE Transactions on Information Forensics, and a former chair of the associated Technical Committee of Information Forensics and Security. He served for 6 years as visiting faculty at the University of Eindhoven, and is currently a visiting professor at the Harbin Institute of technology.

·      Sep. 25, 2009 talk: Wireless Sensors Networks: A New Life Paradigm

Speaker: Prof. Magdy Bayoumi

Computer Science Department, University of Louisiana at Lafayette


·        Time: Friday, Sep. 25, 2009, 11:00am to 12:00pm  at KAIS 2020 

·        Location: Fred Kaiser Building (2332 Main Mall), University of British Columbia


Computers, communication, and sensing technologies are converging to change the way we live, interact, and conduct business. Wireless sensor networks reflect such convergence. These networks are based on collaborative efforts of a large number of sensor nodes. They should be low-cost, low-power, and multifunction. These nodes have the capabilities of sensing, data processing, and communicating. Sensor networks have a wide range of applications, from monitoring sensors in industrial facilities to control and management of energy applications to military and security fields. Because of the special features of these networks, new network technologies are needed for cost effective, low power, and reliable communication. These network protocols and architectures should take into consideration the special features of sensor networks such as: the large number of nodes, their failure rate, limited power, high density, etc. In this talk the impact of wireless sensor networks will be addressed, several of the design and communication issues will be discussed, and a case study of a current project of using such networks in drilling and management off-shore oil and natural gas in the gulf region will be given.

Biography of Dr. Magdy Bayoumi:

Dr. Magdy A. Bayoumi is Director of The Center for Advanced Computer Studies (CACS), and Department Head of the Computer Science Department at the University of Louisiana at Lafayette (UL Lafayette). He is also the Z.L. Loflin Eminent Scholar Endowed Chair Professor in Computer Science. Dr. Bayoumi has been a faculty member in CACS since 1985. He received B.Sc. and M.Sc. degrees in Electrical Engineering from Cairo University, Egypt; M.Sc. degree in Computer Engineering from Washington University, St. Louis; and Ph.D. degree in Electrical Engineering from the University of Windsor, Canada. Dr. Bayoumi is the recipient of the 2009 IEEE Circuits and Systems Meritorius Service Award. He is also the recipient of the IEEE Circuits and Systems Society 2003 Education Award, and he is an IEEE Fellow.

Dr. Bayoumi has graduated more than 35 Ph.D. and about 175 Master’s students. He has published over 300 papers in related journals and conferences. He edited, co-edited and coauthored 5 books in his research interests. He has been Guest Editor (or Co-Guest Editor) of eight Special Issues in VLSI Signal Processing, Learning on Silicon, Multimedia Architecture, Digital and Computational Video, and Perception-on-a-Chip. The latest Special Issue has been on ‘‘System-on-a-Chip,’’ IEEE Proceedings, 2006. He has given numerous invited lectures and talks nationally and internationally, and has consulted in industry. Dr. Bayoumi has served in many editorial, administrative, and leadership capacities in IEEE Circuits and Systems (CAS) Society. Currently, he is the Vice President for Conferences. He was Vice President for Technical Activities, and a member of the Board of Governors of CAS Society. He has been involved in many conferences, serving in different capacities.



·      May 15, 2009 talk: Flow Detection and Anonymous Networking

Speaker: Prof. Lang Tong

School of Electrical and Computer Engineering, Cornell University


·        Time: Friday, May 15, 2009, 3:30pm to 4:30pm

·        Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


In a wireless network, transmission activities can be easily monitored using simple devices. Given the record of transmissions from a set of nodes, one may be able to ascertain whether these nodes are engaged in some networking operations.  While the content of a wireless transmissions can be protected by cryptographical techniques, the acts of transmission may reveal critical information about network operations such as routing and multicasting.

In this talk, we consider two related problems. The first is the problem of flow detection: given observations from a set of traffic sensors, to what extent can the presence of an information flow be detected?  We present results on the fundamental limit of detectability. The second probem is anonymous networking: to what extent can we hide an information flow. Here we use information theoretic measures to characterize the tradeoff between anonymity vs. network throughput.

Biography of Dr. Lang Tong:

Lang Tong is the Irwin and Joan Jacobs Professor in Engineering at Cornell University.  He received his PhD degree from the University of Notre Dame and was a Postdoc Research Affilate at Stanford University.

Lang Tong's research interest lies in the general area of statistical signal processing, communication systems, and networks. He received the 2004 Best Paper Award from the IEEE Signal Processing Society, the 2004 Leonard G. Abraham Prize Paper Award from the IEEE Communications Society, and the 1993 Outstanding Young Author Award from the IEEE Circuits and Systems Society.


July 18, 2008 talk: A Few Tricks for Anti-Piracy of Digital and Physical Goods

Speaker: Dr. Darko Kirovski

Senior Researcher, Microsoft Research, USA

Time: Friday, July 18, 2008, 3:00pm to 4:00pm

Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


Piracy of digital and physical goods nowadays is as rampant as it has ever been. The speaker will review the problem space, and present two widely different technologies for anti-counterfeiting: one, RF-DNA, based upon the difficulty of near-exact replication of simple random 3D physical objects, and another, a transaction protocol for incentive-based off-line viral marketing and sales of digital media.

Biography of Dr. Darko Kirovski:

Darko Kirovski received a Ph.D. in computer science from the University of California, Los Angeles, in 2001. Since April 2000, he has been a researcher at Microsoft Research. His research interests include: Web services, reliable computing, system security, multimedia processing, and embedded system design. He has received the 1999 Microsoft Graduate Research Fellowship, the 2000 ACM/IEEE Design Automation Conference Graduate Scholarship, the 2001 ACM Outstanding Ph.D. Dissertation Award in Electronic Design Automation, and best paper awards at the ACM Multimedia 2002 and the IEEE MMSP 2006. He has authored more than 100 journal and conference papers and filed more than 50 patents.

May 8, 2008 talk: From Image Analysis to Content Extraction: Are We There Yet?

Speaker: Prof. Tsuhan Chen

IEEE Signal Processing Society Distinguished Lecturer


ECE Dept., Carnegie Mellon University, Pittsburgh, USA

Time: Thursday, May. 8th, 2008, 2:00pm to 3:00pm

Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


Traditionally, image processing is considered low-level processing. In the past decade, image processing has grown to become an area where a variety of tools are created to solve high-level problems that conventionally would be studied exclusively by computer vision or machine learning researchers.  For example, multi-resolution analysis inspired popular image features like SIFT (scale-invariant feature transform), and statistical analysis gave birth to graphical models including HMM (hidden Markov models) and topic models.  In this talk, we will use one application to illustrate this trend, object discovery, i.e., extracting the "object of interest" from a set of images in a completely unsupervised manner.  Based on image features like SIFT, and the topic models, we will outline our approach to object discovery and apply it to both still images and motion videos. We will propose a novel spatial-temporal framework that applies statistical models to both appearance modeling and motion modeling. The spatial and temporal models are integrated so that motion ambiguities can be resolved by appearance, and appearance ambiguities can be resolved by motion.  In addition, we will show how hierarchical relationships among objects can be extracted completely from images without any manual labeling.


Biography of Prof. Tsuhan Chen

Tsuhan Chen has been with the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, since October 1997, where he is currently a Professor and Associate Department Head. From August 1993 to October 1997, he worked at AT&T Bell Laboratories, Holmdel, New Jersey. He received the M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology, Pasadena, California, in 1990 and 1993, respectively. He received the B.S. degree in electrical engineering from the National Taiwan University in 1987. Tsuhan served as the Editor-in-Chief for IEEE Transactions on Multimedia in 2002-2004. He also served in the Editorial Board of IEEE Signal Processing Magazine and as Associate Editor for IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Image Processing, IEEE Trans. on Signal Processing, and IEEE Trans. on Multimedia. He co-edited a book titled Multimedia Systems, Standards, and Networks. Tsuhan received the Charles Wilts Prize at the California Institute of Technology in 1993. He was a recipient of the National Science Foundation CAREER Award, from 2000 to 2003. He received the Benjamin Richard Teare Teaching Award at the Carnegie Mellon University in 2006. He is elected to the Board of Governors, IEEE Signal Processing Society, 2007-2009. He is a member of the Phi Tau Phi Scholastic Honor Society.  He is Fellow of IEEE, and a 2007-2008 Distinguished Lecturer of the Signal Processing Society.


October 15, 2007 talk: On the Root of Digital Signal Processing

Speaker: Dr. Andreas Antoniou

IEEE Circuits and Systems Society Distinguished Lecturer

Professor Emeritus

Department of Electrical and Computer Engineering

University of Victoria, BC, Canada 

Time: Part II: Monday, October 15, 2007, 2:00pm to 3:00pm

Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


The roots of what we refer to today as digital signal processing are actually the roots of modern mathematics, and to trace the evolution of DSP we need to go back to the 1600s even to the mathematical world of classical Greece. These two lectures, one at SFU and the other at UBC, will attempt in a not-so-rigorous exposition to outline the major historical landmarks that led to DSP. This subject of study, which has become a multifaceted discipline in recent years, comprises three fundamental processes, namely, discretization (or sampling), processing, and interpolation. Discretization concerns the conversion of a function of one or more continuous independent variables into numbers; processing entails converting or transforming the numbers obtained through discretization into some other form that is in some way or another more desirable; interpolation involves converting the set of processed numbers into a continuous function. Therefore, in our search for the roots of DSP, we must search for the origins of discretization, processing of numerical data, and interpolation.

UBC Lecture: : On the Roots of Digital Signal Processing - 1770 to 1970

Oct. 15, 2007, 2:00pm to 3:00pm, Room KAIS 2020, Fred Kaiser Building, UBC

The second lecture will deal with certain landmark discoveries over the period 1770 to 1970. It will demonstrate that the mathematical tools for spectral analysis were introduced by a group of French mathematicians who studied or taught at Ecole Polytechnic in Paris during or soon after the French Revolution over a period of no more than 50 years or so. Lagrange and Laplace were teachers of Fourier and Poisson, Fourier was a teacher of Derishlet, and Poisson took the Chair of Fourier when the latter was appointed a Prefect in Grenoble by Napoleon. The processing of numerical data by machines was explored by many, including Pascal and Leibniz, but the most ambitious attempt was by Babbage who is often regarded to be the father of computing. However, the presentation will show that contrary to popular belief, what Babbage attempted to do during his entire professional life was to build a mechanical discrete system that would compute the entries of numerical tables and also print the tables in a single consolidated operation. The lecture will also deal with the origins of the sampling theorem which is attributed to Nyquist and/or Shannon. Actually, this famous theorem was discovered independently by several engineers or scientist around the 1930s and 1940s but the underlying principles were known to mathematicians long before that time and are closely related to an interpolation method due to the great Lagrange.

Biography of Dr. Andreas Antoniou

Dr. Andreas Antoniou is a Fellow of the IET (previously known as IEE) and the IEEE. He taught at Concordia University from 1970 to 1983, was the founding Chair of the Department of Electrical and Computer Engineering, University of Victoria, B.C., Canada, from 1983 to 1990, and is now Professor Emeritus. He is the author of Digital Signal Processing: Signals, Systems, and Filters published by McGraw-Hill in 2005 and the co-author with Wu-Sheng Lu of Optimization: Algorithms and Applications published by Springer in 2007. Dr. Antoniou served first as Associate and later as Chief Editor for the IEEE Transactions on Circuits and Systems from 1983 to 1987, as Distinguished Lecturer of the IEEE Signal Processing Society in 2003, as General Chair of the ISCAS 2004, and is now serving as Distinguished Lecturer of the CAS Society. He received the Ambrose Fleming Premium for 1964 from the IEE (best paper award), a CAS Golden Jubilee Medal, and the IEEE CAS Technical Achievement Award for 2005.


Feb. 28, 2008 talk: Joint Coding and Embedding Framework for Multimedia Fingerprinting

Speaker: Dr. Shan He

Researcher, Thomson Corporate Research, Princeton, USA

Time: Thursday, Feb. 28, 2008, 4:30pm to 5:30pm

Location: Room KAIS 2020, Fred Kaiser Building (2332 Main Mall), University of British Columbia


Digital fingerprinting protects multimedia content from illegal redistribution by uniquely marking every copy of the content distributed to each user. One powerful attack against fingerprinting is called collusion attack, where several different fingerprinted copies of the same content are combined together to attenuate or even remove the fingerprints. A major category of collusion-resistant fingerprinting employs an explicit step of coding. Most existing works on coded fingerprinting mainly focus on the code-level issues and treat the embedding issues through abstract assumptions without examining the overall performance. Moreover, in practical applications such as video-on-demand distribution, the potential users can be as many as 10 to 100 million. This large user size demands not only strong collusion resistance but also high efficiency in the fingerprint construction and detection. In this work, we jointly consider the coding and embedding issues and propose a fingerprinting framework which provides a promising balance between collusion resistance, efficient construction and detection. Further, we explore how to employ such a framework and develop practical algorithms to fingerprint video in challenging settings as to accommodate more than ten million users and resisting hundreds of users' collusion. Results show a high potential of joint coding and embedding to meet the needs of real-world large-scale fingerprinting applications.


Biography of Dr. Shan He

Shan He received the B.E. and M.S. degrees in Automatic Control and Industrial engineering (both with the highest honors) from Tsinghua University, Beijing, China, in 1999 and 2002, respectively, and the Ph.D. degree in Electrical Engineering from University of Maryland, College Park USA, in 2007. Since 2007, she has been a researcher with Content Security Research Group in Thomson Corporate Research. Her research interests include information security and multimedia signal processing. Dr. He received the Best Master Thesis Award from Tsinghua University in 2002 and the Graduate School Fellowship from University of Maryland from 2002 to 2004. Her paper on high-fidelity watermarking won the best student paper award in 2006 IEEE International Workshop on Multimedia Signal Processing. She is the recipient of the Distinguished Dissertation Fellowship from the Electrical and Computer Engineering Department, University of Maryland in 2007.