Institute of Information Science Academia Sinica
Topic: Knowledge discovery in multimedia data
Speaker: Prof. Zhongfei (Mark) Zhang (Computer Science Department, State University of New York (SUNY) at Binghamton)
Date: 2012-05-28 (Mon) 10:30 – 12:00
Location: Auditorium 106 at new IIS Building
Host: Mark Liao


In this talk I will showcase the general theory of knowledge discovery through a few specific application problems. The first is the pattern change discovery in high-dimensional data, and I will demonstrate the theory in the scenario of event detection through pattern change discovery in text, imagery, and video, respectively. The second is the topic modeling and the trend analysis, and I will demonstrate the theory in the scenario of topic analysis in static text data and trend analysis in dynamic text data. The third is the image annotation with incomplete labels and I will demonstrate how we can complete the labels through knowledge discovery from given incomplete data which is a well-known and notorious problem in multimedia annotation. Depending upon the time, I will talk some or all of these problems. I will conclude the talk by arguing that multimedia knowledge discovery theory is powerful in solving many real-world problems.


Zhongfei Zhang is a professor at the Computer Science Department, State University of New York (SUNY) at Binghamton, USA, and the director of the Multimedia Research Laboratory in the Department. He at the same time also holds the position of QiuShi Chaired Professor at the Department of Information Science and Electronics Engineering, Zhejiang University, China. He received a B.S. in Electronics Engineering (with Honors), an M.S. in Information Sciences, both from Zhejiang University, China, and a PhD in Computer Science from the University of Massachusetts at Amherst, USA. He was on the faculty of Computer Science and Engineering Department, and a research scientist at the Center of Excellence for Document Analysis and Recognition, both at SUNY Buffalo, before he joined the faculty of computer science at SUNY Binghamton. He is the author of the very first monograph on multimedia data mining and the very first monograph on relational data clustering . His research has been funded by a number of federal government agencies including NSF, AFOSR, and AFRL, industry research labs including Kodak Research and Microsoft Research, as well as a number of private foundations and foreign funding agencies such as French CNRS, Japanese JSPS, and Chinese Ministry of Science and Technology. He holds more than ten inventions, has served as reviewers/PC members for many conferences and journals, has held the positions as regular grant review panelists for federal government funding agencies (NSF and NASA), New York State government funding agencies, and private funding agencies, and is currently in the editorial boards for several journals. He has also served as technical consultants for a number of industrial and governmental organizations.