@inproceedings{a375468816a34394b182f95215fce5e3,
title = "A novel SSDA-based block matching algorithm for image stabilization",
abstract = "In this paper, a novel SSDA-based block matching algorithm for image stabilization is proposed. Block matching is a general and most frequently used image stabilization method with high stability and quality. And the Sequential Similarity Detection Algorithm (SSDA) is an efficient tool in the determination of local similarity between two data sets. Therefore we put forward an improved SSDA to accelerate the processing speed. Besides, Sparsity Strategy and Weighted MAD-based Voting Theory are also introduced. Experimental results demonstrate that the proposed method outperforms previous algorithms in terms of rapidity and accuracy.",
keywords = "Image stabilization, Matching, SSDA, Sparsity Strategy, Weighted MAD-based Voting Theory",
author = "Zhongkai Wang and Bo Wang and Zhiqiang Zhou and Ranran Dong",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015 ; Conference date: 26-08-2015 Through 27-08-2015",
year = "2015",
month = nov,
day = "20",
doi = "10.1109/IHMSC.2015.55",
language = "English",
series = "Proceedings - 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "286--290",
booktitle = "Proceedings - 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015",
address = "United States",
}