Title: Online Fast Visual Search

Keynote 1: Prof. Wen Gao,IEEE Fellow,ACM Fellow,CAE Member

Abstract: Smart phone and surveillance systems have shown great potential for visual search. Emerging applications include landmark search, product search, CD or book cover search, location recognition, scene retrieval, car search, etc. There are at least two challenges for visual search, low latency transmission via wireless network connection, and high speed search in large image database at cloud server. A possible approach is to extract the visual feature at the capturing device, then sending that to cloud server for search. A practical issue is how to make visual search applications compatible across a broad range of devices and platforms. To solve the problem, we need a standard which can specify the feature set which is suitable for most applications.

In this talk, I will discuss CDVS: Compact Descriptor for Visual Search, CDVS, the standard made by ISO/IEC MPEG working group, known as ISO/IEC 15938-13, the part 13 of MPEG-7. CDVS uses feature descriptors instead of compressed images for transmitting and search, with high efficiency and acceptable search accuracy. Using CDVS and other techniques, some application systems have developed for the smart phone visual search and surveillance video search, with the best performance in online fast visual search.

Bio: Wen Gao received his Ph.D. degree in electronics engineering from the University of Tokyo in 1991. He is a professor of computer science at the Peking University since 2006. He joined with the Harbin Institute of Technology from 1991 to 1995, as professor, department head of computer science. He was with Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS) from 1996 to 2005. During his career in CAS, he served as the managing director of ICT from 1998 to 1999, the executive vice president of Graduate School of CAS 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, video processing, computer vision, and multimedia. He is a Member of Chinese Academy of Engineering, a Fellow of IEEE, and a Fellow of ACM.

Media Recommendation in the New Era of Mobile Social Environments

Keynote 2: Prof. Chang Wen Chen, IEEE Fellow

Abstract: Recent rapid advancement in both pervasive mobile computing and social networks has been driving numerous new applications in media consumption through a variety of mobile devices. Among emerging digital media applications, media recommendation has been constantly evolving and have reached a new level of sophistication driven by both “social” and “mobile” augmentations. This talk attempts to examine several relevant recent developments in personalized media recommendation, especially when both social networking principles and mobile user contexts are adopted to significantly expand the horizon of the conventional media recommendation. Based on current booming of social networks as well as ubiquitous penetration of smart mobile devices, we envisage a bright future for mobile social media as pervasive mobile computing and universal social networks advance to their next level of technology evolution.

Bio: Chang Wen Chen is an Empire Innovation Professor of Computer Science and Engineering at the University at Buffalo, State University of New York. He was Allen Henry Endow Chair Professor at the Florida Institute of Technology from July 2003 to December 2007. He was on the faculty of Electrical and Computer Engineering at the University of Rochester from 1992 to 1996, on the faculty of Electrical and Computer Engineering at the University of Missouri-Columbia from 1996 to 2003.

He has been the Editor-in-Chief for IEEE Trans. Multimedia since January 2014. He has also served as the Editor-in-Chief for IEEE Trans. Circuits and Systems for Video Technology from 2006 to 2009. He has been an Editor for several major IEEE Transactions and Journals, including the Proceedings of IEEE, IEEE Journal of Selected Areas in Communications, and IEEE Journal of Journal on Emerging and Selected Topics in Circuits and Systems. He has served as Conference Chair for several major IEEE, ACM and SPIE conferences related to multimedia video communications and signal processing. His research is supported by NSF, DARPA, Air Force, NASA, Whitaker Foundation, Microsoft, Intel, Kodak, Huawei, and Technicolor.

He received his BS from University of Science and Technology of China in 1983, MSEE from University of Southern California in 1986, and Ph.D. from University of Illinois at Urbana-Champaign in 1992. He and his students have received seven Best Paper Awards and Best Student Paper Awards over the past two decades. He has also received several research and professional achievement awards, including the Sigma Xi Excellence in Graduate Research Mentoring Award in 2003, Alexander von Humboldt Research Award in 2009, and the State University of New York at Buffalo Exceptional Scholar – Sustained Achievement Award in 2012. He is an IEEE Fellow and an SPIE Fellow.

Title: User-centric Social Multimedia Computing

Keynote 3: Prof. Changsheng Xu,ACM Distinguished Scientist,IEEE Fellow,IAPR Fellow

Abstract: Social multimedia has three fundamental elements of user, multimedia content and interaction. Social multimedia computing aims to connect user and multimedia content by analyzing the interaction, and accordingly address three problems of multimedia content understanding, user modeling, and social network analysis. In this talk, I will introduce the user-centric social multimedia computing framework. Firstly, user is the basic data collection unit. User has revolutionized their roles from information receivers to information contributors. Massive User-Generated Content (UGC) has provided available training examples for multimedia content understanding. Secondly, user is the ultimate information service target. Information service in social media is essentially user-oriented. Inferring user interests, understanding and satisfying their personalized needs are the major tasks for information service. Based on this framework, we have conducted work along four research lines: (1) User-aware multimedia content understanding, (2) online activity-based user modeling, (3) topic-level user relation analysis, and (4) common user-based cross-network collaboration. At last, I will conclude this talk with some prospects into social multimedia computing directions. With the development of mobile Internet and wearable technology, user serves as roles to connect cyber to the physical worlds, and will be the fundamental computing terminal.

Bio: Changsheng Xu is the dean of school of computing and information in Hefei University of Technology and Executive Director of China-Singapore Institute of Digital Media. His research interests include multimedia content analysis/indexing/retrieval, pattern recognition and computer vision. He has hold 30 granted/pending patents and published over 200 refereed research papers in these areas.

Prof. Xu is an Associate Editor of IEEE Trans. on Multimedia, ACM Trans. on Multimedia Computing, Communications and Applications and ACM/Springer Multimedia Systems Journal. He received the Best Associate Editor Award of ACM Trans. on Multimedia Computing, Communications and Applications in 2012 and the Best Editorial Member Award of ACM/Springer Multimedia Systems Journal in 2008. He served as Program Chair of ACM Multimedia 2009. He has served as associate editor, guest editor, general chair, program chair, area/track chair, special session organizer, session chair and TPC member for over 20 IEEE and ACM prestigious multimedia journals, conferences and workshops. He is an ACM Distinguished Scientist, IEEE Fellow, and IAPR Fellow.