Relational Database for Visual Data Management
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.
Recommended Citation
D. Lord and K. Kosbar, "Relational Database for Visual Data Management," Proceedings of the International Telemetering Conference, vol. 41, International Foundation for Telemetering, Dec 2005.
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Data management; Feature extraction; Indexing
International Standard Serial Number (ISSN)
0884-5123
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 International Foundation for Telemetering, All rights reserved.
Publication Date
01 Dec 2005