CASIA OpenIR  > 模式识别国家重点实验室  > 模式分析与学习
Text Detection, Tracking and Recognition in Video: A Comprehensive Survey
Yin, Xu-Cheng1,2; Zuo, Ze-Yu3; Tian, Shu3; Liu, Cheng-Lin4
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
2016-06-01
Volume25Issue:6Pages:2752-2773
SubtypeArticle
AbstractThe intelligent analysis of video data is currently in wide demand because a video is a major source of sensory data in our lives. Text is a prominent and direct source of information in video, while the recent surveys of text detection and recognition in imagery focus mainly on text extraction from scene images. Here, this paper presents a comprehensive survey of text detection, tracking, and recognition in video with three major contributions. First, a generic framework is proposed for video text extraction that uniformly describes detection, tracking, recognition, and their relations and interactions. Second, within this framework, a variety of methods, systems, and evaluation protocols of video text extraction are summarized, compared, and analyzed. Existing text tracking techniques, tracking-based detection and recognition techniques are specifically highlighted. Third, related applications, prominent challenges, and future directions for video text extraction (especially from scene videos and web videos) are also thoroughly discussed.
KeywordText Tracking Tracking Based Text Detection Tracking Based Text Recognition Video Text Extraction Scene Text
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TIP.2016.2554321
WOS KeywordNATURAL SCENE IMAGES ; COMPRESSED VIDEO ; PERFORMANCE EVALUATION ; NEURAL-NETWORKS ; LICENSE PLATES ; DIGITAL VIDEO ; EXTRACTION ; LOCALIZATION ; FEATURES ; FRAMES
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61411136002 ; 61473036)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000375303000002
Citation statistics
Cited Times:38[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12208
Collection模式识别国家重点实验室_模式分析与学习
Affiliation1.Univ Sci & Technol Beijing, Dept Comp Sci & Technol, Beijing 100083, Peoples R China
2.Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing Key Lab Mat Sci Knowledge Engn, Beijing 100083, Peoples R China
3.Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Dept Comp Sci & Technol, Beijing 100083, Peoples R China
4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Yin, Xu-Cheng,Zuo, Ze-Yu,Tian, Shu,et al. Text Detection, Tracking and Recognition in Video: A Comprehensive Survey[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2016,25(6):2752-2773.
APA Yin, Xu-Cheng,Zuo, Ze-Yu,Tian, Shu,&Liu, Cheng-Lin.(2016).Text Detection, Tracking and Recognition in Video: A Comprehensive Survey.IEEE TRANSACTIONS ON IMAGE PROCESSING,25(6),2752-2773.
MLA Yin, Xu-Cheng,et al."Text Detection, Tracking and Recognition in Video: A Comprehensive Survey".IEEE TRANSACTIONS ON IMAGE PROCESSING 25.6(2016):2752-2773.
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