Neural network based video processing and analysis
As neural netwoks have shown great potential in data clustering and pattern recognition, we proposed and develop unique neural network based schemes to perform the video content processing and analysis task automatically and with a minimum of user-defined parameters.
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2008
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sg-ntu-dr.10356-49682023-07-04T15:10:10Z Neural network based video processing and analysis Cao, Xiang Suganthan, Ponnuthurai Nagaratnam School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing As neural netwoks have shown great potential in data clustering and pattern recognition, we proposed and develop unique neural network based schemes to perform the video content processing and analysis task automatically and with a minimum of user-defined parameters. Master of Engineering 2008-09-17T10:02:23Z 2008-09-17T10:02:23Z 2003 2003 Thesis http://hdl.handle.net/10356/4968 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Cao, Xiang Neural network based video processing and analysis |
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As neural netwoks have shown great potential in data clustering and pattern recognition, we proposed and develop unique neural network based schemes to perform the video content processing and analysis task automatically and with a minimum of user-defined parameters. |
author2 |
Suganthan, Ponnuthurai Nagaratnam |
author_facet |
Suganthan, Ponnuthurai Nagaratnam Cao, Xiang |
format |
Theses and Dissertations |
author |
Cao, Xiang |
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Cao, Xiang |
title |
Neural network based video processing and analysis |
title_short |
Neural network based video processing and analysis |
title_full |
Neural network based video processing and analysis |
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Neural network based video processing and analysis |
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Neural network based video processing and analysis |
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neural network based video processing and analysis |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4968 |
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1772828616553398272 |