[PDF of presentation available as attachment at the bottom of this page]

Near-duplicate video copies are those video copies derived from the same original copy, by some global transformation such as video re-formatting and colour shifting, or some local changes such as frame editing. The sources of near-duplicate video copies range from quality degradation from vide streaming and recording processes to some deliberate modification and customization. The problem of identifying near-duplicate video copies has a wide range applications in TV broadcasting monitoring, copyright enforcement, content-based video search and etc. It is a challenge to detect near-duplicate video copies efficiently and accurately from a large collection of millions of video clips. In this talk, we give a demo that is capable to search for near-duplicate video copies in real-time, explain what's behind, and discuss about future work along this direction.

About Xiaofang Zhou
Professor Xiaofang Zhou is a Professor of Computer Science at the University of Queensland. He is the Research Director and the Acting Network Convenor of ARC Research Network in Enterprise Information Infrastructure (EII), and a Chief Investigator of ARC Centre in Bioinformatics. Professor Zhou received his BSc and MSc degrees in Computer Science from Nanjing University in 1984 and 1987 respectively, and PhD in Computer Science from the University of Queensland in 1994. From 1994 to 1999, he worked as a Senior Research Scientist and Project Leader in CSIRO. His research is focused on finding effective and efficient solutions to managing, integrating and analysing very large amount of complex data for business and scientific applications. His research interests include spatial and multimedia databases, high performance query processing, Web information systems, data mining, bioinformatics and e-Research. Professor Zhou is a Senior Member of IEEE and a member of ACM.