TY - JOUR
T1 - Slide identification for lecture movies by matching characters and images
AU - Ozawa, Noriaki
AU - Takebe, Hiroaki
AU - Katsuyama, Yutaka
AU - Naoi, Satoshi
AU - Yokota, Haruo
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
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U2 - 10.1117/12.526480
DO - 10.1117/12.526480
M3 - Conference article
AN - SCOPUS:8844219608
VL - 5296
SP - 74
EP - 81
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
SN - 0277-786X
T2 - Document Recognition and Retrieval XI
Y2 - 21 January 2004 through 22 January 2004
ER -