Enhancing Video Coding by Data-driven Techniques and Advanced Models
Prof. Dr. Sam Kwong
City University, Hong-Kong
Abstract: In June 6th 2016, Cisco released the White paper, VNI Forecast and Methodology 2015-2020, reported that 82 percent of Internet traffic will come from video applications such as video surveillance, content delivery network, so on by 2020. It also reported that Internet video surveillance traffic nearly doubled, Virtual reality traffic quadrupled, TV grew 50 percent and similar increases for other applications in 2015. The annual global traffic will first time exceed the zettabyte(ZB;1000 exabytes[EB]) threshold in 2016, and will reach 2.3 ZB by 2020. It implies that 1.886ZB belongs to video data. Thus, in order to relieve the burden on video storage, streaming and other video services, researchers from the video community have developed a series of video coding standards. Among them, the most up-to-date is the High Efficiency Video Coding(HEVC) or H.265 standard, which has successfully halved the coding bits of its predecessor, H.264/AVC, without significant increase in perceived distortion. With the rapid growth of network transmission capacity, enjoying high definition video applications anytime and anywhere with mobile display terminals will be a desirable feature in the near future. Due to the lack of hardware computing power and limited bandwidth, lower complexity and higher compression efficiency video coding scheme are still desired. For higher video compression performance, the key optimization problems, mainly decision making and resource allocation problem, shall be solved. In this talk, I will present the most recent research results on machine learning and game theory based video coding. This is very different from the traditional approaches in video coding. We hope applying these intelligent techniques to vide coding could allow us to go further and have more choices in trading off between cost and resources.
Prof. Sam Kwong received the B.Sc. degree from the State University of New York at Buffalo, Buffalo, NY, in 1983, the M.A.Sc. degree in electrical engineering from the University of Waterloo, Waterloo, ON, Canada, in 1985, and the Ph.D. degree from the Fernuniversität Hagen, Hagen, Germany, in 1996. From 1985 to 1987, he was a Diagnostic Engineer with Control Data Canada, where he designed the diagnostic software to detect the manufacture faults of the VLSI chips in the Cyber 430 machine. He is the associate editor of the IEEE transactions on Evolutionary Computation, the Associate Editor for the IEEE Transactions on Industrial Informatics, the IEEE Transactions on Industrial Electronics, and the Journal of Information Science.
Currently, he is the Head and Professor of the department of Computer Science, City University of Hong Kong. In 1996, he was responsible for the software design of the first handheld GSM mobile phone consultancy project, one of the largest consultancy projects at the City University of Hong Kong. He has coauthored three research books, eight book chapters, and over 300 technical papers. His book entitled “Genetic Algorithm for Control and Signal Processing” published by Springer London, featuring pioneer work in applying evolutionary algorithm as an optimization tool for many industrial applications such as network intrusion systems,
self‐healing multicast network, speech recognition and video coding, was a bestseller in 1997. In addition, his prolific research publication record reaches over 150 top ranked journal papers mostly in IEEE journals. His works have been cited over 13,000 times according to Google Scholar and his h‐index is 49. He also won the Best paper award for his work on Multiobjective Optimization of Radio‐to‐fiber repeaters placement using a Jumping gene algorithm on ICIT2005 as well as the Best Paper presentation award on IECON2004. Currently, he is the Associate Editor for many IEEE Transactions and journals. Kwong was the IEEE SMC Hong Kong local chapter treasurer, secretary and later become the chairman of the Hong Kong chapter. He is now the current VP of cybernetics of IEEE Systems, Man and Cybenenetics, his role is to ensure that IEEE SMCS to become the leading Society in the area of cybernetics.
Can Artificial Intelligence help us to design security solutions based on our physiological signals?
Dr. Pedro Peris-Lopez
Carlos III University. Madrid, Spain
Abstract: Recently, the e-health sector has undergone a major transformation because of cybersecurity issue. Population is more concern about their habits and health and have access to detailed information thanks to the wide variety of low-cost sensors or medical devices that monitor our vital signals and daily activities. The benefits associated with the continuous monitoring of our vital signals for medical or performance purposes are obvious. In vein with this, in the last years researchers have studied how our physiological signals can also be used for cyber-security issues. Artificial intelligence (AI) techniques are usually used for the design of these novel systems. Identification through compressed cardiac signals or continuous authentication considering electrocardiograms (ECG) as data streams are two representative examples of the problems addressed in this talk.
Dr. Pedro Peris-Lopez is Professor in the Department of Computer Science, at the Carlos III University in Madrid. He has a M.Sc. in Telecommunications Engineering (2004) and a Ph.D. in Computer Science (2008). His research interests are in the fields of applied cryptography, computer forensics, signal processing, and artificial intelligence. He has published many articles in International Journals (42) with impact factor, and papers at international conferences of recognized prestige (41). His works have a high impact: the whole of his works have more than 3400 cites and his h-index is 27 (08/2018 – Google Scholar).
Changing Industry Landscape with new Technologies, including Blockchain
Global Markets, Enterprise – IBM
Abstract: A deep look at how industry is changing with the use of Blockchain and other technologies will be presented. Additionally, the potential benefits and future direction of these changes will be discussed with several use cases of Blockchain technology. Furthermore, the conditions under which BlockChain solutions transform industries will also be presented and discussed.
Mr. Iqbal AliKhan is the Program Director, Blockchain & Innovations for Global Markets, Enterprise at IBM. He moved over to management consulting and has built an intuitive understanding of the intersection of business and technology. Iqbal has applied cognitive analytics, Watson (artificial intelligence & machine learning), mobile, big data and Blockchain to accelerate go-to market strategies and operationalize new business models. He has built a history of facilitating enterprise responses to industry disruptions, focused on organizational growth; revenue enhancement and introducing innovations. Iqbal works at the cusp of innovation adoption by banks, governments, central banks and commercial organizations, as part of their digitization strategies.
Public Policy in the Age of AI
Prof. Brian Fonseca
Director of the Jack D. Gordon Institute for Public Policy, Steven J. Green School of International and Public Affairs, Florida International University (FIU)
Abstract: The rapid evolution of Artificial Intelligence is shifting domestic and international policy landscapes in profound ways, and governments are struggling to enact policies and regulations that keep up with private sector innovations. Public and private sectors need to find effective ways to work together and enact policies that integrates AI into the fabric societies around the globe. Policies and regulations must capitalize on the benefits of AI while reducing uncertainty and mitigating the wide ranging impacts AI will have on populations—from evolving labor markets and alleviating political and socioeconomic pressures to protecting citizens’ privacies and ensuring ethical development.
Prof. Brian Fonseca is director of Florida International University’s Institute for Public Policy and is an adjunct professor in the Department of Politics and International Relations at FIU’s School of International and Public Affairs (SIPA). He teaches courses in global cybersecurity policy, national security studies, and U.S. foreign policy. Brian is also founder and technical director of Teaching Digital Natives, a Miami-based non-profit organization that teaches cybersecurity to kids. He is a Cybersecurity Policy Fellow at New America—ranked in the top 50 best think tanks in the United States—and has numerous publications. His two recent books are titled Culture and Security in the Americas (Lexington Books) with Eduardo Gamarra and The New U.S. Security Agenda: The Trends and Emerging Threats (Palgrave) with Jonathan Rosen. Brian served in the U.S. Marines from 1997 to 2004 and facilitated the training of foreign military forces.