Abstract:
The large growing amount of digital data, and the development of the
Internet highlight the need to develop sophisticated access methods
that provide more than just simple text-based queries. Many programs
have been developed with complex mathematical algorithms to allow the
transformation of image or audio data in a way that enhances searching
accuracy. However it becomes difficult when dealing with large sets
of multimedia data. This talk will discuss a novel data mining
technique which named Intelligent Dynamic Swarm (IDS) for the Content
Based Video Retrieval System (CBVRS) and Content Based Audio Retrieval
System (CBARS).
Speaker's biography:
Vera Chung received her B.S. degree in Computing and Information
System from University of London, UK, in 1995 and the Ph.D. degree in
Computer Engineering from Queensland University of Technology,
Brisbane, Australia in 2000. From 1999 to 2001, she was a lecturer at
La Trobe University in Melbourne, Australia. Since 2001, she has been
with the School of Information Technologies, University of Sydney,
Australia. Her research interests include image and video processing,
content based audio, image and video retrieval, network reliability
and data mining.
Location Details:
The University of Sydney, School of IT Building, Lecture
Theatre (Room 123), Level 1