Abstract
AbstractText in video contains valuable information and is exploited in many content-based video applications. However, scene text detection has not been systematically explored even people have developed a lot of optical character recognition (OCR) techniques in the past decades. This chapter gives an introduction to the current progress on scene text detection especially in the past several years. It starts from discussing the visual saliency of scene texts to describe the characteristics of text in natural scene images. Then, the recent developments of scene text detection from video or image are discussed, roughly being categorized into bottom-up, top-down, statistic and learning, temporal or motion analysis, and hybrid approaches. Scene character recognition methods are introduced accordingly. Several typical scene text datasets adopted in different applications are introduced for performance evaluation.KeywordsText LineOptical Character RecognitionText RegionScene ImageSaliency ModelThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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