2015 National Aerospace and Electronics Conference
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.
Copyright © 2015, IEEE
Place of Publication
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.