@inproceedings{962a56baaa714724945fadb01cefd41b,
title = "An image search method for Chinese character inscription based on optical flow",
abstract = "Chinese character inscription is an important part of Chinese culture. With China's increasing efforts to protect traditional culture, more and more Chinese character inscription images are captured and stored in the digital culture museum. How to search a Chinese character is becoming an interesting research topic. The most important thing for searching an image is to define the similarity between two images. In this paper, we propose an image search method for Chinese character inscription images based on optical flow method. The two images are aligned with the optical flow and then the distance is measured. Considering with the noise in the images, a novel optical flow model with a L1-regularization for data term and a L2 smoothness term is proposed. We have tested our method on a database with more than one thousand images. And our method can return good results in several seconds.",
keywords = "Chinese character inscription, Image search, Optical flow",
author = "Qing Zuo and Yue Qi",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th International Conference on Virtual Reality and Visualization, ICVRV 2015 ; Conference date: 17-10-2015 Through 18-10-2015",
year = "2016",
month = may,
day = "9",
doi = "10.1109/ICVRV.2015.21",
language = "英语",
series = "Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "144--147",
editor = "Zhong Zhou and Weiliang Meng and Junfeng Yao and Xiaopeng Zhang and Xun Luo",
booktitle = "Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015",
address = "美国",
}