Keynote Speech II: Modeling Events with Media Evidences

In many applications media data such as images and videos play the role of snapshot evidences of some real-world phenomena. In these cases it is important to correlate the content of the media data with the states, state-transitions and state aggregates that characterize the events. This is further complicated by the fact that events are multi-granular and multi-aspect entities and a single media object might represent more than one granularity of events and a part of or multiple aspects of an event. This raises some interesting and open questions about modeling events with media evidences. This talk explores the problem and proposes some initial steps toward a solution.

Keynote Speaker: Amarnath Gupta

Amarnath received his Bachelor of Technology in Mechanical Engineering from the Indian Institute of Technology, Kharagpur, a Master of Science in Biomedical Engineering from University of Texas, Arlington, and his Ph.D. (Engineering) degree in Computer Science from Jadavpur University, India. Currently, he is the director of the Advanced Query Processing Laboratory in the Data and Knowledge Systems group at SDSC. His research interests include scientific data modeling, information integration, multimedia databases and spatiotemporal data management.

Amarnath is a member of the ACM and SIGMOD and has been in the program committee of several conferences in the area of data management. He has published over 70 papers in databases, and holds 9 patents in the area of multimedia data management. He is an associate editor of the upcoming Encyclopedia of Data Management.