[4eyes] Fwd: [Seminar] Jan 17th @ 12PM phD Candidate:" Human motivated multicamera video analytics" By Carter De Leo

Pradeep Sen psen at ece.ucsb.edu
Wed Jan 16 14:54:37 PST 2013


Sorry for the repost in case you guys already saw this.  Just thought
that some 4Eyes folks might be interesed in this.

-P



-------- Original Message --------
Subject: [Seminar] Jan 17th @ 12PM phD Candidate:" Human motivated 
multicamera video analytics" By Carter De Leo
Date: 2013-01-16 08:26
 From: Kelsey Sweet <kelsey at ece.ucsb.edu>
To: seminar at ece.ucsb.edu



"PhD defense: Human motivated multicamera video analytics"
Carter De Leo, PhD Candidate, ECE, UC Santa Barbara

JAN 17 (THU) 12:00PM
HFH 4164
Human motivated multicamera video analytics

ABSTRACT:
The continued emergence of inexpensive sensors and storage has made the 
collection and processing of large quantities of visual data practical, 
opening up new possibilities in data exploitation and understanding. The 
volume of data also makes it increasingly difficult to rely solely on 
humans for review, requiring assistance from automated systems to use 
large data sources to their full potential. However, while large data 
has also enabled new algorithmic techniques, computer performance still 
lags behind that of humans. The work in this thesis addresses both sides 
of this problem by exploring both how automated systems can make the 
most of large data and how they can be refined to act more human when 
doing so. I will discuss video summarization as applied to a network of 
11 cameras and show how our system makes the network data more 
accessible to human operators while also using human feedback to guide 
its design. A novel approach to object tracking that uses large-scale 
hum
  an annota
tion to implicitly apply human scene understanding in an automated 
system will also be discussed. Finally, I will present recent work in 
using functional magnetic resonance imaging (fMRI) to explore how 
quantitative human feedback can be directly collected from a subject and 
applied to debugging traditional computer vision algorithms to bring 
them closer to human capabilities.

BIO:
Carter De Leo received his BS in Electrical Engineering from the 
California State Polytechnic University, San Luis Obispo in 2007 and his 
MS, also in Electrical Engineering, from the University of California, 
Santa Barbara in 2008. He has worked as a Graduate Student Researcher in 
the Visual Research Laboratory at UCSB for the last 5 years in addition 
to an internship at Google - Youtube in San Bruno, CA. After graduation 
he will return to Google in Mountain View, CA.

HOSTED BY: Professor B.S. Manjunath, Vision Research Lab

SUBMITTED BY: Carter De Leo <cdeleo at ece.ucsb.edu>

-- 
Kelsey Sweet
Academic Affairs Assistant
4155 Harold Frank Hall
Electrical & Computer Engineering Department
University of California, Santa Barbara
Santa Barbara, CA 93106-9560
Phone: (805) 893-5364
Fax: (805) 893-3262

_______________________________________________
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-- 
Pradeep Sen
Associate Professor
UCSB Advanced Graphics Lab
Dept. of Electrical & Computer Engineering
University of California, Santa Barbara
Santa Barbara, CA 93106-9560


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