Video Degradation Model and Its Application to Character Recognition in e-Learning Videos
Identifieur interne : 001511 ( Main/Merge ); précédent : 001510; suivant : 001512Video Degradation Model and Its Application to Character Recognition in e-Learning Videos
Auteurs : Jun Sun [République populaire de Chine] ; Yutaka Katsuyama [Japon] ; Satoshi Naoi [Japon]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Abstract
Abstract: As the rapid popularization of digital imaging equipment, video character recognition becomes more and more important. Compared with traditional scanned document, characters in video document usually suffer from great degradation and meet trouble in recognition. Thus, a systematically study of video degradation will be very useful for video OCR. In this paper, a video degradation model is proposed to imitate the process of video character image generation. The generated character images are used to make synthetic dictionaries to improve the recognition performance of real degraded characters in e-Learning videos. Experiments on 24317 e-Learning video characters prove the effectiveness of our method.
Url:
DOI: 10.1007/978-3-540-28640-0_52
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