A New Trademark Detection Method via Trademark Confidence Score of MSERs | |
Yang, Zheng1; Jie,Liu1; Yuan, Zhang1; Shuwu,Zhang1,2; Qing,Li3 | |
2019 | |
会议名称 | 11th International Conference on Digital Image Processing, ICDIP 2019 |
会议日期 | May 10, 2019 - May 13, 2019 |
会议地点 | Guangzhou, China |
摘要 | This paper proposes a new algorithm to provide high quality potential trademark locations for trademark detection. In real-world circumstances, trademark regions often possess some distinctive, invariant and stable properties which can be gained effectively and efficiently by Maximally Stable Extremal Regions (MSERs). Based on this observation, we design Trademark Confidence Score (TCS) for adaptive MSERs in the images. Then a window refinement algorithm is proposed to retain the high-quality candidate windows generated by Selective Search (SS). Experiments on FlickerLogos-27 and our own dataset demonstrate that our algorithm can significantly reduce the number of candidate proposals produced by SS with little sacrifice of recall for trademarks. Moreover, for trademark detection, our algorithm has better performance while reducing the computational cost of detection. |
关键词 | Trademark Detection Maximally Stable Extremal Regions Trademark Confidence Score Selective Search |
语种 | 英语 |
七大方向——子方向分类 | 自然语言处理 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/26124 |
专题 | 数字内容技术与服务研究中心_版权智能与文化计算 |
通讯作者 | Jie,Liu |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.AICFVE, Beijing Film Academy 3.School of Automation and Electrical Engineering, University of Science and Technology Beijing |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yang, Zheng,Jie,Liu,Yuan, Zhang,et al. A New Trademark Detection Method via Trademark Confidence Score of MSERs[C],2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A New Trademark Dete(434KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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