• 讲座信息

Ripplet: a New Transform for Feature Extraction and Image Representation

2012.07.03

Title:     July 11, Wednesday, 3:30pm-4:30pmVenue:    Z2103, Zhangjiang Campus, Fudan UniversitySpeaker:  Prof. Dapeng Oliver Wu,Dept. of Electrical & Computer Engineering,University of Florida, USA
Contact:   颜波  byan@fudan.edu.cnAbstract:
In the areas of image processing, computer vision, and pattern recognition, efficient representation of images or feature extraction usually leads to improvement in storage efficiency, computational complexity and performance of algorithms. Efficient representation of images can be achieved by transforms such as DCT and wavelet.  The ripplet transform is a higher dimensional generalization of the wavelet transform designed to represent images or two-dimensional signals at different scales and different directions.   The ripplet transform is also a generalization of curvelet transform.  The ripplet transform is able to identify the set of wavefront of arbitrary shape, e.g., ripples created by throwing a stone into water; hence, we coin the name of the transform, ripplet.  Compared to the wavelet transform and DCT, the ripplet transform has a major advantage, namely, two-dimensional singularities or boundaries can be well approximated with very few ripplet coefficients and in a non-adaptive manner. Bio:
Dapeng Oliver Wu received Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, PA, in 2003. Since 2003, he has been on the faculty of Electrical and Computer Engineering Department at University of Florida, Gainesville, FL, where he is currently Professor.  His research interests are in the areas of networking, communications, video coding, image processing, computer vision, signal processing, and machine learning.
He received University of Florida Research Foundation Professorship Award in 2009, AFOSR Young Investigator Program (YIP) Award in 2009, ONR Young Investigator Program (YIP) Award in 2008, NSF CAREER award in 2007, the IEEE Circuits and Systems for Video Technology (CSVT) Transactions Best Paper Award for Year 2001, the Best Paper Award in Globecom 2011, and the Best Paper Award in QShine 2006. Currently, he serves as an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology, and International Journal of Ad Hoc and Ubiquitous Computing.  He was the founding Editor-in-Chief of Journal of Advances in Multimedia between 2006 and 2008, and an Associate Editor for IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology between 2004 and 2007. He is also a guest-editor for IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Cross-layer Optimized Wireless Multimedia Communications.  He has served as Technical Program Committee (TPC) Chair for IEEE INFOCOM 2012, and as TPC Chair for IEEE International Conference on Communications (ICC 2008), Signal Processing for Communications Symposium. He served as Chair for the Award Committee, Technical Committee on Multimedia Communications, IEEE Communications Society.