Paper
15 December 2003 Slide identification for lecture movies by matching characters and images
Noriaki Ozawa, Hiroaki Takebe, Yutaka Katsuyama, Satoshi Naoi, Haruo Yokota
Author Affiliations +
Proceedings Volume 5296, Document Recognition and Retrieval XI; (2003) https://doi.org/10.1117/12.526480
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Noriaki Ozawa, Hiroaki Takebe, Yutaka Katsuyama, Satoshi Naoi, and Haruo Yokota "Slide identification for lecture movies by matching characters and images", Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); https://doi.org/10.1117/12.526480
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Reliability

Video

Computer programming

Distortion

Cameras

Target detection

Detection and tracking algorithms

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