@inproceedings{Seunghwan2014,
abstract = {This paper presents a video completion algorithm using block matching for video stabilization. In order to fill in missing pixels, the proposed algorithm consists of three steps: i) mosaicking for covering the missing static, planar regions, ii) estimation of local motion vectors using the hierarchical Lucas-Kanade optical flow method, and iii) selection of the most similar patch in both spatial and temporal neighbors. The proposed video completion algorithm can be applied in the wide areas of consumer electronics including camcorders, smart phone cameras, tablet cameras, and smart glasses. {\textcopyright} 2014 IEEE.},
author = {Yoo, Seunghwan and Katsaggelos, Aggelos K. and Jo, Gwanghyun and Chae, Eunjung and Cheong, Hejin and Jeon, Semi and Kim, Minseo and Paik, Joonki and Park, Chanyong},
booktitle = {The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014)},
doi = {10.1109/ISCE.2014.6884435},
isbn = {978-1-4799-4592-4},
keywords = {block matching,motion inpainting,video completion,video stabilization},
month = {jun},
pages = {1--2},
publisher = {IEEE},
title = {{Video completion using block matching for video stabilization}},
url = {https://ieeexplore.ieee.org/document/6884435},
year = {2014}
}

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