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An Efficient System for Video Stabilization by Differentiating between Intentional and Un-Intentional Jitters
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Author(s): Kamran Manzoor (University of Engineering and Technology, Pakistan), Umar Manzoor (The University of Salford, UK)and Samia Nefti (The University of Salford, UK)
Copyright: 2012
Pages: 12
Source title:
Trends and Effects of Technology Advancement in the Knowledge Society
Source Author(s)/Editor(s): Miltiadis D. Lytras (Effat University, Saudi Arabia)and Isabel Novo-Corti (University of A Coruña, Spain)
DOI: 10.4018/978-1-4666-1788-9.ch020
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Abstract
Video stabilization is one of the most important enhancements where jittering caused by un-intentional movements is removed. Existing video stabilizer software and tools cannot differentiate between intentional and un-intentional jitters in the video and treats both equally. In this paper, the authors propose an efficient and practical approach of video stabilization by differentiating between an intentional and un-intentional jitter. Their method takes jittered video as input, and differentiates between intentional and an un-intentional jitter without affecting its visual quality while producing stabilized video only if jitter is found to be un-intentional. While most previous methods produce stabilized videos with low resolution, this reduces quality. The proposed system has been evaluated on a large number of real life videos and results promise to support the implementation of the solution.
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