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Front Matter: Proceedings Of The Maics 2016 Conference, University Of Dayton
Front Matter: Proceedings Of The Maics 2016 Conference, University Of Dayton
Content presented at the MAICS conference
Front matter contains:
- A list of program chairs and committee members
- Foreword to the proceedings by James P. Buckley, conference chair; Saverio Perugini, general chair
Editors: Phu H. Phung, University of Dayton; Ju Shen, University of Dayton; Michael Glass, Valparaiso University
A Modular Approach For Key-Frame Selection In Wide Area Surveillance Video Analysis, Almabrok Essa, Paheding Sidike, Vijayan K. Asari
A Modular Approach For Key-Frame Selection In Wide Area Surveillance Video Analysis, Almabrok Essa, Paheding Sidike, Vijayan K. Asari
Electrical and Computer Engineering Faculty Publications
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.