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

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.

Publisher

IEEE

Place of Publication

Dayton, OH