A Unified Framework for Tracking Based Text Detection and Recognition from Web Videos
Tian, Shu1; Yin, Xu-Cheng2; Su, Ya1; Hao, Hong-Wei3
2018-03-01
发表期刊IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
卷号40期号:3页码:542-554
文章类型Article
摘要Video text extraction plays an important role for multimedia understanding and retrieval. Most previous research efforts are conducted within individual frames. A few of recent methods, which pay attention to text tracking using multiple frames, however, do not effectively mine the relations among text detection, tracking and recognition. In this paper, we propose a generic Bayesian-based framework of Tracking based Text Detection And Recognition (T(2)DAR) from web videos for embedded captions, which is composed of three major components, i.e., text tracking, tracking based text detection, and tracking based text recognition. In this unified framework, text tracking is first conducted by tracking-by-detection. Tracking trajectories are then revised and refined with detection or recognition results. Text detection or recognition is finally improved with multi-frame integration. Moreover, a challenging video text (embedded caption text) database (USTB-VidTEXT) is constructed and publicly available. A variety of experiments on this dataset verify that our proposed approach largely improves the performance of text detection and recognition from web videos.
关键词Video Text Extraction Text Tracking Tracking Based Text Detection Tracking Based Text Recognition Embedded Captions
WOS标题词Science & Technology ; Technology
DOI10.1109/TPAMI.2017.2692763
关键词[WOS]NATURAL SCENE IMAGES ; READING TEXT ; SEGMENTATION ; EXTRACTION
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61473036)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000424465900003
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21959
专题数字内容技术与服务研究中心_听觉模型与认知计算
作者单位1.Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Dept Comp Sci & Technol, Beijing 100083, Peoples R China
2.Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Dept Comp Sci & Technol, Beijing Key Lab Mat Sci Knowledge Engn, Beijing 100083, Peoples R China
3.Chinese Acad Sci, Res Ctr Digital Technol, Inst Automat, Beijing 100190, Peoples R China
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Tian, Shu,Yin, Xu-Cheng,Su, Ya,et al. A Unified Framework for Tracking Based Text Detection and Recognition from Web Videos[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2018,40(3):542-554.
APA Tian, Shu,Yin, Xu-Cheng,Su, Ya,&Hao, Hong-Wei.(2018).A Unified Framework for Tracking Based Text Detection and Recognition from Web Videos.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,40(3),542-554.
MLA Tian, Shu,et al."A Unified Framework for Tracking Based Text Detection and Recognition from Web Videos".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 40.3(2018):542-554.
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