Malcolm Slaney will be giving a talk in the TSRB building at Georgia Tech on Friday. Unfortunately, I may be out of town since my soon-to-be sister-in-law is getting married the week, but I'm trying to talk my fiancee into going. So if you are in the Atlanta area, check out the talk and give me some notes!
Details:
"We're drowning in Multimedia. Hurray!!!!"
Malcolm Slaney
Yahoo! Research and Stanford CCRMA
Friday, March 13th, 11 am
TSRB 132
The wealth of data available on the Internet changes the way we think about multimedia. Never before has there been so much multimedia data available for training models and answering questions. But these new riches bring with it a change in the problems we must think about. The data is noisy and largely unlabeled --- we must make sense of it, often returning an answer in hundreds of milliseconds. How do we understand the user's environment, especially when it extends across the world? How do we take into account context and do it at the scale of the
Internet? In this talk I'd like to share with you Yahoo's experiences in this brave new world of multimedia everywhere, describe promising new technologies, and discuss open research directions. I will describe the need for better user and multimedia models, the kinds of algorithms needed for today's large databases, and how the Internet is changing multimedia retrieval.
Biography
Malcolm Slaney is a principal scientist at Yahoo! Research Laboratory. He received his PhD from Purdue University for his work on computed imaging. He is a coauthor, with A. C. Kak, of the IEEE book "Principles of Computerized Tomographic Imaging." This book was recently republished by SIAM in their "Classics in Applied Mathematics" Series. He is coeditor, with Steven Greenberg, of the book "Computational Models of Auditory Function."
Before Yahoo!, Dr. Slaney has worked at Bell Laboratory, Schlumberger Palo Alto Research, Apple Computer, Interval Research and IBM's Almaden Research Center. He is also a (consulting) Professor at Stanford's CCRMA where he organizes and teaches the Hearing Seminar. His research interests include auditory modeling and perception, multimedia analysis and synthesis, compressed-domain processing, music similarity and audio search, and machine learning. For the last several years he has lead the auditory group at the Telluride Neuromorphic Worksho.
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