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主題演講專家：

Prof. Chua Tat-Seng, National University of Singapore  >>
　          Chua Tat-Seng is the KITHC Chair Professor at the School of Computing, National University of Singapore (NUS). He was the Acting and Founding Dean of the School of Computing during 1998-2000. He joined NUS in 1983, and spent three years as a research staff member at the Institute of Systems Science (now I2R) in the late 1980s. Dr Chua's main research interest is in multimedia information retrieval, in particular, on the analysis, retrieval and question-answering (QA) of text and image/video information. He is currently working on several multi-million-dollar projects: interactive media search, local contextual search, and real-time live media search. His group participates regularly in TREC-QA and TRECVID video retrieval evaluations.  Dr Chua has organized and served as program committee member of numerous international conferences in the areas of computer graphics, multimedia and text processing. He is the conference  co-chair of ACM Multimedia 2005, CIVR (Conference on Image and Video Retrieval) 2005, and ACM SIGIR 2008. He serves in the editorial boards of: ACM Transactions of Information Systems (ACM), Foundation and Trends in Information Retrieval (NOW), The Visual Computer (Springer Verlag), and Multimedia Tools and Applications (Kluwer). He is the member of steering committee of CIVR, Computer Graphics International, and Multimedia Modeling conference series; and as member of International Review Panels of two large-scale research projects in Europe.

Keynote Speech Title: Towards Web-Scale Media Content Analysis and Retrieval - What has University Research 
                                           Contributed to Commercial Systems and Social Network Services
Speaker: Chua, Tat-Seng, School of Computing, NUS

Synopsis: With the exponential growth of media contents on the Web, the ability to search for media entities not just based on text annotations, but also visual contents, has become important. Although limited, commercial search engines, like Bing and Google image search, are now offering search services based on both text and visual contents. As commercial-scale search services require the handling of millions of media entities within interactive time, and with visibly improved performance beyond what can be done with annotated text, are research and lab technologies ready for such offerings? Has years of media content analysis research made any important contributions towards such services, and what should we focus on next to make better impact?
This talk identifies 3 research directions critical to the success of Web-scale media search – namely visual concept annotation, indexing, and interactive search strategies. This talk also describes potential contributions and synergy between advanced media research and commercial offerings, and discusses future directions.

Prof. Kiyoharu Aizawa, The University of Tokyo  >>
　         Kiyoharu Aizawa, received the B.E., the M.E., and the Dr.Eng. degrees in Electrical Engineering all from the University of Tokyo, in 1983, 1985, 1988, respectively. He is currently a Professor at the Department of Information and Communication Engineering and Interfaculty Initiative of Information Studies of the University of Tokyo. He was a Visiting Assistant Professor at University of Illinois from 1990 to 1992. His research interests are in image processing and multimedia, and he is currently engaged in multimedia lifelog and three dimensional video.  He received the 1987 Young Engineer Award and the 1990, 1998 Best Paper Awards, the 1991 Achievement Award, 1999 Electronics Society Award from IEICE Japan, and the 1998 Fujio Frontier Award, the 2002 and 2009 Best Paper Award from ITE Japan. He received the IBM Japan Science Prize in 2002.   He is currently the Editor in Chief of Journal of ITE Japan, and an Associate Editor of IEEE Trans. Image Processing and is on Editorial Board of ACM TOMCCAP and Journal of Visual Communications and Image Processing. He served as an Associate Editor of IEEE Trans. CSVT and IEEE Trans. Multimedia, too. He has served a number of international and domestic conferences; he was the General co-Chair of MMM2008 and SPIE VCIP99. Program Co-Chair of ACM CIVR2008 and Short Paper Track Chair of ACM 2005 etc. He is a Member of IEEE, ACM, IEICE, ITE.
Keynote Speech Title: Life Log : Where are We Now, and Where Can we Go?
Speaker: Kiyoharu Aizawa, University of Tokyo, Interfaculty Initiative of Information Studies and
                  Department of Information and Communication Engineering

Abstract: Capturing our activities in our daily life by electronic means leads to digitizing and archiving personal experiences. Making use of such "life log" data enables us to notice information that we usually tend to miss or forget in our daily life. Since recently, life log are getting increasing attention, and quite a few services related to life log are appearing. In this talk, the current status of life log technology is surveyed, and projects we have been investigating so far are introduced. Thoughts on a perspective on life log technology and applications is also addressed.
Keynote Speaker for the practitioner day 
Dr. Alejandro Jaimes, Yahoo! Research in Barcelona  >>
　

        Alejandro (Alex) Jaimes is Senior Research Scientist at Yahoo! Research where he is leading new initiatives at the intersection of web-scale data analysis and user understanding (user engagement & improving user experience). Dr. Jaimes is the founder of the ACM Multimedia Interactive Art program, Industry Track chair for ACM RecSys 2010 and UMAP 2009, and panels chair for KDD 2009. He was program co-chair of ACM Multimedia 2008, co-editor of the IEEE Trans. on Multimedia Special issue on Integration of Context and Content for Multimedia Management (2008), and a founding member of the IEEE CS Taskforce on Human-Centered Computing. His work has led to over 60 technical publications in international conferences and journals, and to numerous contributions to MPEG-7. He has been granted several patents, and serves in the program committee of several international conferences. He has been an invited speaker at Practitioner Web Analytics 2010, ECML-PKDD 2010 and KDD 2009 and (Industry tracks), ACM Recommender Systems 2008 (panel), DAGM 2008 (keynote), 2007 ICCV Workshop on HCI, and several others. Before joining Yahoo!

        Dr. Jaimes was a visiting professor at U. Carlos III in Madrid and founded and managed the User Modeling and Data Mining group at Telefónica Research. Prior to that Dr. Jaimes was Scientific Manager at IDIAP-EPFL (Switzerland), and was previously at Fuji Xerox (Japan), IBM TJ Watson (USA), IBM Tokyo Research Laboratory (Japan), Siemens Corporate Research (USA), and AT&T Bell Laboratories (USA). Dr. Jaimes received a Ph.D. in Electrical Engineering (2003) and a M.S. in Computer Science from Columbia U. (1997) in NYC.
Keynote Speech Title: What can billions of queries tell us about image search? A Human-Centered perspective
Speaker: Alejandro Jaimes, Yahoo! Research in Barcelona

Abstract: In recent years significant progress has been made in developing techniques to automatically index images using both content and related text. In spite of this, there is generally little understanding of what people do when they interact with web-scale image search engines. The main assumption is that people search, but for the most part, what images they search for and why remain largely unknown. Large-scale query logs provide a very sparse picture of users' actions, but they can be a valuable resource for gaining insights into what people are doing, how they are doing it, and why they are doing it. In this presentation I will discuss strategies for query-log analysis, and present results on analyzing a very large data set of image query logs from a web-scale search engine. I will explain why a Human-Centered approach is required in analyzing and interpreting the data, giving user search strategy examples and highlighting the implications for algorithm and user interface design. Finally, I will discuss future directions and challenges based on what we can observe from real user actions, and describe how integrating multiple sources of data (e.g., demographics, context, etc.) can help fill in the gap to gain a better user understanding.

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