An End-to-end Video Text Detector with Online Tracking | |
Yu HY(俞宏远)2,3; Zhang, Chengquan4; Li, Xuan4; Han, Junyu4; Ding, Errui4; Wang L(王亮)1,2,3 | |
2019 | |
会议日期 | 2019年 |
会议地点 | 悉尼 |
英文摘要 | Video text detection is considered as one of the most difficult tasks in document analysis due to the following two challenges: 1) the difficulties caused by video scenes, i.e., motion blur, illumination changes, and occlusion; 2) the properties of text including variants of fonts, languages, orientations, and shapes. Most existing methods attempt to enhance the |
会议录出版者 | IEEE |
会议录出版地 | IEEE |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/48517] |
专题 | 中国科学院自动化研究所 |
通讯作者 | Wang L(王亮) |
作者单位 | 1.Chinese Academy of Sciences Artificial Intelligence Research 2.中国科学院大学 3.中国科学院自动化研究所,NLPR,CASIA 4.Department of Computer Vision Technology(VIS), Baidu Inc. |
推荐引用方式 GB/T 7714 | Yu HY,Zhang, Chengquan,Li, Xuan,et al. An End-to-end Video Text Detector with Online Tracking[C]. 见:. 悉尼. 2019年. |
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