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Project:
Automated Note Taking and Structuring |
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People
Xinding Sun,
Ching Wei Chen,
Gilroy
Menezes,
B.S.Manjunath |
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Objective
A structured representation of
the videos needs to be derived for search and retrieval. At the low level,
we have simple visual cues such as color and texture. At the object level,
we may have more annotations (such as the instructor's name). New
description schemes are necessary to describe the audio-visual content.
Research issues include a tighter integration of audio (especially speech
recognition) and visual information (especially face recognition,
tracking). For course material, it will be of interest to create ``concept
spaces'' tailored to the individual course content, to which the
audio-visual data is cross linked so that the students can browse through
and randomly access the content based on such concepts.
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Demo |
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How to use the system? |
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System Information |
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Publications
These materials are
presented to ensure timely dissemination of scholarly and technical
work. Copyright and all rights therein are retained by authors or by
other copyright holders. All persons copying this information are
expected to adhere to the terms and constraints invoked by each
authors copyright. In most cases, these works may not be reposted
without the explicit permission of the copyright holder
Ching-Wei Chen's master
thesis:
ClassAid: An Automated Lecture Capture and Archival System, 2001
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