From Images to Insights.
Adobe Systems Inc
September 21, 2007
JEC 3117 - 4:00 p.m. to 5:00 p.m.
Refreshments at 3:30 p.m.
With the success of digital photography during the past few years we
have witnessed a revolution in the way photographs and videos are
captured and processed. Today, our ability to acquire images and video
far outstrips our ability to make sense of that data. This is true not
only in personal and commercial applications but also in the sciences,
where huge amounts of image data are acquired from scanners,
microscopes, telescopes, and various other instruments.
We desperately need better abstractions that can improve our ability to
gain insight from large collections of image data. I argue that proper
data analysis can transform the data into a meaningful and perceptually
intuitive representation. However, conceiving the right representation
is not straightforward and it can benefit greatly from appropriate data
visualization and human involvement. Fortunately, once the right
abstraction is found it leads to a better and simpler acquisition
method. To summarize, the whole process often involves a complex
interplay among data acquisition, data visualization, and data
In this talk I will discuss a number of data-driven hierarchical
representations that tame the complexity of high-dimensional visual
data. First, I will address the representation of spatially-varying
appearance using a tree-structured factorization method and a new matrix
decomposition algorithm. Then I will show how to generalize these ideas
to decompose time-lapse video into simple and intuitive components that
can be edited. Finally, I will discuss the MERL face-scanning project,
where we collected a database of over 400 subjects with thousands of
images each in order to build high-quality statistical models of human
Wojciech Matusik is a senior research scientist at Adobe
Systems. He received a B.S. in EECS from the University of California
at Berkeley in 1997, M.S. in EECS from MIT in 2001, and Ph.D. in
2003. In 2004, he was named one of the world's top 100 young
innovators by MIT's Technology Review Magazine. Wojciech's primary
research lies in computer graphics, data-driven modeling,
computational photography, and new display technologies.
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Last updated: September 13, 2007