Relational Database for Visual Data Management
dc.contributor.advisor | Kosbar, Kurt | en |
dc.contributor.author | Lord, Dale | |
dc.date.accessioned | 2016-04-08T23:03:51Z | en |
dc.date.available | 2016-04-08T23:03:51Z | en |
dc.date.issued | 2005-10 | en |
dc.identifier.issn | 0884-5123 | en |
dc.identifier.issn | 0074-9079 | en |
dc.identifier.uri | http://hdl.handle.net/10150/604893 | en |
dc.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 | en_US |
dc.description.abstract | 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 | |
dc.description.sponsorship | International Foundation for Telemetering | en |
dc.language.iso | en_US | en |
dc.publisher | International Foundation for Telemetering | en |
dc.relation.url | http://www.telemetry.org/ | en |
dc.rights | Copyright © International Foundation for Telemetering | en |
dc.subject | Feature Extraction | en |
dc.subject | Data Management | en |
dc.subject | Indexing | en |
dc.title | Relational Database for Visual Data Management | en_US |
dc.type | text | en |
dc.type | Proceedings | en |
dc.contributor.department | University of Missouri – Rolla | en |
dc.identifier.journal | International Telemetering Conference Proceedings | en |
dc.description.collectioninformation | Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection. | en |
refterms.dateFOA | 2018-06-29T04:56:48Z | |
html.description.abstract | 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 |