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Text Detection, Tracking and Recognition in Video: A Comprehensive Survey

Published: 01 June 2016 Publication History
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  • Abstract

    The 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.

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        cover image IEEE Transactions on Image Processing
        IEEE Transactions on Image Processing  Volume 25, Issue 6
        June 2016
        451 pages

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        IEEE Press

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        Published: 01 June 2016

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