Deriving Knowledge from Audio and Multimedia Data
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Wednesday, September 30, 2015 Gerald Friedland |
ABSTRACT:
Today's world is filled not only with cameras, but also with
microphones, listening to us -- and to the environment we live
in. This talk presents results and lessons learned from my research
on extracting information from environmental audio and video
data using scalable acoustic recognition methods. The research
I will present is mainly focused on multimedia retrieval, but the
underlying environmental audio recognition methods are being applied
to robotics, autonomous vehicles and cell phones.
BIOGRAPHY:
Dr. Gerald Friedland is the Director of the Audio and Multimedia lab at the International Computer Science Institute, a private non-profit research organization affiliated with the University of California, Berkeley. He leads a group of researchers, currently focusing on acoustic analysis methods for large scale video retrieval, but also on related privacy concerns and privacy education. Dr. Friedland has published more than 200 peer-reviewed articles in conferences, journals, and books. He authored a new textbook on multimedia computing published by Cambridge University Press. He is associate editor for ACM Transactions on Multimedia and IEEE Multimedia Magazine and is the recipient of several research and industry awards, among them the European Academic Software Award and the Multimedia Entrepreneur Award from the German Federal Department of Economics. Dr. Friedland received his doctorate (summa cum laude) and master's degree in computer science from Freie Universitaet Berlin, Germany, in 2002 and 2006, respectively.
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