[4eyes] [Seminar] Jun 6 (Mon): "Human-Machine Collaboration for Visual Scene ..., " Dr. Amit K. Roy-Chowdhury,

[Herbert Cai]

Hi,

I am Herbert from the ECE department. We have invited Prof. Amit
Roy-Chowdhury from UC Riverside to give a talk on human-machine
collaboration for visual scene understanding. We think that this talk might
be of interest to some of you.

Forwarded below please find the talk information.

Best,
Herbert

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From: *Joelle Dohrman* <cao-admin at ece.ucsb.edu
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Date: Friday, June 3, 2016
Subject: [Seminar] Jun 6 (Mon): "Human-Machine Collaboration for Visual
Scene ..., " Dr. Amit K. Roy-Chowdhury,
To: seminar at ece.ucsb.edu
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------------------------------
Human-Machine Collaboration for Visual Scene Understanding
------------------------------
Dr. Amit K. Roy-Chowdhury, Professor, ECE/CS, UC Riverside
Jun 6 (Mon) 3:00pm
Building 406, Room 216

*ABSTRACT:*
Most computer vision methods work by having an initial, labor-intensive
training phase, followed by an operational phase where the trained models
are used. However, in many applications, all the data may not be available
at the outset and the learned models need to be adapted continuously as new
data becomes available. This requires continuous learning methods in visual
scene understanding, where humans and the machine vision system are working
together collaboratively. In this talk, we address some of the research
issues that arise in such a framework. First, we focus on active learning
methods and how they can be used for continuously updating learned models
by interacting with a human operator. We show results in object, activity
and scene recognition and show that results similar to methods with a
priori trained models can be obtained with significantly less manual
labeling. Second, we consider the problem of summarizing large volumes of
video data to present to the human in a manner that allows efficient
decision making without being overwhelmed by the size of the data.

*BIO:*
Amit K. Roy-Chowdhury received Masters degree in systems science and
automation from the Indian Institute of Science, Bangalore, India, and the
Ph.D. degree in electrical engineering from the University of Maryland,
College Park. He is a Professor of Electrical Engineering and a Cooperating
Faculty in the Department of Computer Science at the University of
California, Riverside. His broad research interests include the areas of
image processing and analysis, computer vision, and statistical signal
processing and pattern recognition. Together with his students and
collaborators, he has over 100 technical publications in these areas. He is
the first author of the book - Camera Networks: The Acquisition and
Analysis of Videos over Wide Areas - the first research monograph on this
topic. He has been on the organizing and program committees of multiple
computer vision and image processing conferences and is serving on the
editorial boards of multiple journals in related areas.

Hosted by: Dr. Yasamin Mostofi  II  Submitted by: Arjun Muralidharan
<arjunm at ece.ucsb.edu>
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