Document Type
Conference Paper
Publication Date
6-2015
Publication Source
2015 National Aerospace and Electronics Conference
Abstract
This paper presents an efficient preprocessing algorithm for big data analysis. Our proposed key-frame selection method utilizes the statistical differences among subsequent frames to automatically select only the frames that contain the desired contextual information and discard the rest of the insignificant frames.
We anticipate that such key frame selection technique will have significant impact on wide area surveillance applications such as automatic object detection and recognition in aerial imagery. Three real-world datasets are used for evaluation and testing and the observed results are encouraging.
Inclusive pages
1-4
ISBN/ISSN
2379-2027
Document Version
Postprint
Copyright
Copyright © 2015, IEEE
Publisher
IEEE
Place of Publication
Dayton, OH
eCommons Citation
Essa, Almabrok; Sidike, Paheding; and Asari, Vijayan K., "A Modular Approach for Key-Frame Selection in Wide Area Surveillance Video Analysis" (2015). Electrical and Computer Engineering Faculty Publications. 392.
https://ecommons.udayton.edu/ece_fac_pub/392
Included in
Databases and Information Systems Commons, Data Storage Systems Commons, Systems and Communications Commons
Comments
The document available for download is the authors' accepted manuscript, provided in compliance with the publisher's policy on self-archiving. Permission documentation is on file.
Some differences may exist between this version and the published version; as such, researchers wishing to quote directly from this source are advised to consult the version of record.