Model-based Video Coding
Abstract Image and video data is becoming a majority in the big data wave, a reasonable improvement of video coding efficiency may get a big cost saving in video transmission and/or storage, that is why so many researchers work on the new coding technologies and standard. For example, a join video team between ISO and ITU-T works on HEVC standard which achieves about 50% bits saving over last generation standard of H.264/MPEG-4 AVC with the comparable visual quality, and a working team under IEEE standard association works on a new AVS standard for internet/surveillance video coding with similar goal of efficiency up over AVS1. However, the limitation of the further performance improvement under the traditional hybrid coding framework is recognized by the researchers in this area. Recently, the model based coding (MBC) has achieved some exciting advancements on several image/video applications, such as model based screen video coding, surveillance video coding and cloud images coding etc, which is very promising for the next generation image/video coding. In this talk, the recent developments of model-based video coding will be given, special on background picture model based surveillance coding and cloud-based image coding, and the challenging problems and future directions of MBC will be discussed. Some national projects and researcher activities on multimedia including MBC in China will be discussed also.
Speaker Biography. Wen Gao received his Ph.D. degree in electronics engineering from the University of Tokyo in 1991. He is with the Peking University as professor from 2006. He joined with the Harbin Institute of Technology from 1991 to 1995, as professor, chairman of department of computer science. He was with Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), as professor, from 1996 to 2005. During his career at CAS, he served as the managing director of ICT from 1998 to 1999, the executive vice president of Graduate School of Chinese Academy of Sciences from 2000 to 2004, the vice president of University of Science and Technology China from 2000 to 2003. Dr. Gao is working at the areas of video coding and processing, face recognition, image retrieval, and multimodal interface. He is a Fellow of IEEE, and a Member of Chinese Academy of Engineering.
Clinical bioinformatics: decision support through data and knowledge integration
Abstract Clinical Bioinformatics (CBI) has recently emerged as "the clinical application of bioinformatics-associated sciences and technologies to understand molecular mechanisms and potential therapies for human diseases". CBI thus emphasized the clinical impact that molecular medicine may potentially have if the necessary information is properly made available for decision-making. In this sense, CBI truly deals with the challenge of integrating molecular and clinical data to accelerate the translation of knowledge discovery into effective treatment and personalized medicine. The talk will deal with the main ingredients of CBI, namely clinical data, molecular data, -omics databases, and the biomedical literature, thus introducing the current challenge of properly integrating such a vast amount of information into a decision-support system. Within this context, the role of different methodological and technological tools will be discussed, including, in particular, data mining, information retrieval, literature-based discovery and case-based reasoning, and some examples of running projects in the areas of oncology and cardiology will be provided
Speaker Biography. Dr. Riccardo Bellazzi received the Laurea cum laude in electronic engineering in 1989 and the Ph.D. in bioengineering in 1992 from the University of Pavia, Italy. From 1992 to 1994, he worked in EU-funded projects on medical expert systems as a scientific consultant. Since 1995 he has been an assistant professor at the Department of Computer and Systems Science, University of Pavia. His current research interests range from the application of intelligent data analysis techniques in biomedical dynamical systems to the design of advanced telemedicine systems for patient care. He is actively involved in a project of a knowledge-based telemedicine system for the management of insulin-dependent diabetes mellitus. He is the author of about 100 articles in refereed journals and scientific conference proceedings. Dr. Bellazzi is a member of the program committe of several workshops and conferences in the fields of intelligent data analysis and computer applications in diabetes and telemedicine.
Towards the End-to-End Design for Big Data Management in the Cloud: Why, How, and When?
Abstract. With the wide-scale adoption of cloud computing and with the explosion in the number of distributed applications and end-user devices, we are witnessing insatiable desire to build bigger-and-bigger systems that can serve hundreds of millions of end-users, are highly automated, and can collect enormous amounts of data in short periods of time. Often newer systems are implemented by integrating existing sub-systems that are already in use. A consequence of such a massive-scale integration is that it is very difficult to have a complete understanding of the overall system design. In fact, recent examples indicate that the only way to debug and test newer modules is to put them in live deployments that sometimes can lead to disastrous outcomes. In this talk, I will use some of the recent events in the context of Big Data and Cloud Computing as a motivation to argue that we need better methodologies for end-to-end system design for big data management in the cloud. I will then explore some well-known abstractions from distributed computing and databases as a means towards such a design and conclude with a contemplative question whether we can achieve such a goal or shall we leave it all to an automated self-learning and self-corrective oracle.
Speaker Biography. Dr. Divyakant Agrawal is a Professor of Computer Science and the Director of Engineering Computing Infrastructure at the University of California at Santa Barbara. His research expertise is in the areas of database systems, distributed computing, data warehousing, and large-scale information systems. From January 2006 through December 2007, Dr. Agrawal served as VP of Data Solutions and Advertising Systems at the Internet Search Company ASK.com. Dr. Agrawal has also served as a Visiting Senior Research Scientist at the NEC Laboratories of America in Cupertino, CA from 1997 to 2009. During his professional career, Dr. Agrawal has served on numerous Program Committees of International Conferences, Symposia, and Workshops and served as an editor of the journal of Distributed and Parallel Databases (1993-2008), and the VLDB journal (2003-2008). He currently serves as the Editor-in-Chief of Distributed and Parallel Databases and is on the editorial boards of the ACM Transactions on Database Systems and IEEE Transactions of Knowledge and Data Engineering. He has recently been elected to the Board of Trustees of the VLDB Endowment and elected to serve on the Executive Committee of ACM Special Interest Group SIGSPATIAL. Dr. Agrawal's research philosophy is to develop data management solutions that are theoretically sound and are relevant in practice. He has published more than 300 research manuscripts in prestigious forums (journals, conferences, symposia, and workshops) on wide range of topics related to data management and distributed systems and has advised more than 30 Doctoral students during his academic career. He received the 2011 Outstanding Graduate Mentor Award by the Academic Senate at UC Santa Barbara. Recently, Dr. Agrawal has been recognized as an Association of Computing Machinery (ACM) Distinguished Scientist in 2010 and was inducted as an ACM Fellow in 2012. He has also been inducted as a Fellow of IEEE in 2012. His current interests are in the area of scalable data management and data analysis in Cloud Computing environments, security and privacy of data in the cloud, and scalable analytics over social networks data and social media.
Realizing Services on the Future World Wide Web
Abstract Over the years, the World Wide Web has gone through many transformations, from traditional linking and sharing of computers and documents (Web of Data), to current connection of people (Web of People), and to emerging connection of physical objects and services (Web of Things). With the recent advances in radio-frequency identification (RFID), Web services, and wireless sensors network, billions of physical objects will be interconnected and present over the World Wide Web. It becomes possible to infer the status of real-world entities with minimal delay using a standard Web browser. Indeed, Web of Things is widely regarded as one of the most promising technologies that will change our world in the coming decade. In this talk, I will first overview the evolution of the World Wide Web and discuss research challenges presented by the emerging Web of Things. I will then focus on discussing several relevant research projects conducted at the University of Adelaide, particularly focusing on context-aware Web service development and RFID-based object tracing and tracking.
Speaker Biography. Dr. Michael Sheng is currently an Associate Professor in the School of Computer Science at the University of Adelaide. A/Prof. Michael Sheng received his PhD degree in computer science from the University of New South Wales (UNSW) and did his post-doc as a research scientist at CSIRO ICT Centre. His research interests include Internet Computing, Service-Oriented Computing, Web of Things, and Pervasive Computing. A/Prof. Michael Sheng has published more than 120 publications in premier journals and conferences such as ACM Computing Surveys, VLDB Journal, Communication of the ACM, IEEE Computer, IEEE Internet Computing, VLDB, WWW, ICDE, CIKM, ICSE, and ICSOC. His research has been frequently cited by other researchers. He is listed as one of the top-cited authors in the "World Wide Web" research area by Microsoft Academic Search. A/Prof. Michael Sheng is the recipient of the Chris Wallace Award in 2011 and Microsoft Research Fellowship in 2003.
Virtual and Physical Interactions: Connecting Real and Virtual Worlds Seamlessly
Abstract Connecting real and virtual worlds is an important topic when we think about human computer interactions with Virtual and Augmented Reality (AR) technologies. Vision-based AR systems such as video see-through interfaces have powerful architecture to synchronize a virtual world to the real world. Furthermore, we are able to synchronize the real world to the virtual world by controlling physical things. In this talk, some practical approaches to make seamless connection between the real and virtual worlds by synchronizing dynamic elements such as robots are introduced with consideration of virtual and physical interactions. It brings us novel user experiences in augmented real environments.
Speaker Biography. Dr. Maki Sugimoto graduated at Graduate School of Electro-Communications, the University of Electro-Communications, Tokyo in 2006 and received a Ph.D in Engineering. His research interests include visual tele-existence for collaborative contents creation, point cloud based 3D tracking and applications of spatial augmented reality environments.