Slide identification for lecture movies by matching characters and images

Noriaki Ozawa*, Hiroaki Takebe, Yutaka Katsuyama, Satoshi Naoi, Haruo Yokota


研究成果: Conference article査読

5 被引用数 (Scopus)


Slide identification is very important when creating e-Learning materials as it detects slides being changed during lecture movies. Simply detecting the change would not be enough for e-Learning purposes. Because, which slide is now displayed in the frame is also important for creating e-Learning materials. A matching technique combined with a presentation file containing answer information is very useful in identifying slides in a movie frame. We propose two methods for slide identification in this paper. The first is character-based, which uses the relationship between the character code and its coordinates. The other is image-based, which uses normalized correlation and dynamic programming. We used actual movies to evaluate the performance of these methods, both independently and in combination, and the experimental results revealed that they are very effective in identifying slides in lecture movies. character recognition, image matching, movie recognition, e-Learning, learning materials, meta data.

ジャーナルProceedings of SPIE - The International Society for Optical Engineering
出版ステータスPublished - 2004
イベントDocument Recognition and Retrieval XI - San Jose, CA, United States
継続期間: 2004 1月 212004 1月 22

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学


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