Relational Database for Visual Data Management
ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada === Often it is necessary to retrieve segments of video with certain characteristics, or featur...
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ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6048932016-04-10T03:01:02Z Relational Database for Visual Data Management Lord, Dale Kosbar, Kurt University of Missouri – Rolla Feature Extraction Data Management Indexing ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada Often it is necessary to retrieve segments of video with certain characteristics, or features, from a large archive of footage. This paper discusses how image processing algorithms can be used to automatically create a relational database, which indexes the video archive. This feature extraction can be performed either upon acquisition or in post processing. The database can then be queried to quickly locate and recover video segments with certain specified key features 2005-10 text Proceedings 0884-5123 0074-9079 http://hdl.handle.net/10150/604893 http://arizona.openrepository.com/arizona/handle/10150/604893 International Telemetering Conference Proceedings en_US http://www.telemetry.org/ Copyright © International Foundation for Telemetering International Foundation for Telemetering |
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en_US |
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Feature Extraction Data Management Indexing |
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Feature Extraction Data Management Indexing Lord, Dale Relational Database for Visual Data Management |
description |
ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada === Often it is necessary to retrieve segments of video with certain characteristics, or features, from a large archive of footage. This paper discusses how image processing algorithms can be used to automatically create a relational database, which indexes the video archive. This feature extraction can be performed either upon acquisition or in post processing. The database can then be queried to quickly locate and recover video segments with certain specified key features |
author2 |
Kosbar, Kurt |
author_facet |
Kosbar, Kurt Lord, Dale |
author |
Lord, Dale |
author_sort |
Lord, Dale |
title |
Relational Database for Visual Data Management |
title_short |
Relational Database for Visual Data Management |
title_full |
Relational Database for Visual Data Management |
title_fullStr |
Relational Database for Visual Data Management |
title_full_unstemmed |
Relational Database for Visual Data Management |
title_sort |
relational database for visual data management |
publisher |
International Foundation for Telemetering |
publishDate |
2005 |
url |
http://hdl.handle.net/10150/604893 http://arizona.openrepository.com/arizona/handle/10150/604893 |
work_keys_str_mv |
AT lorddale relationaldatabaseforvisualdatamanagement |
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1718220046653718528 |