Video degradation model and its application to character recognition in e-learning videos

Jun Sun, Yutaka Katsuyama, Satoshi Naoi

研究成果: Chapter

抄録

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.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
編集者Simone Marinai, Andreas Dengel
出版社Springer Verlag
ページ555-558
ページ数4
ISBN(印刷版)3540230602
DOI
出版ステータスPublished - 2004
外部発表はい

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3163
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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