Slide identification for lecture movies by matching characters and images

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

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

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. character recognition, image matching, movie recognition, e-Learning, learning materials, meta data.

Original languageEnglish
Pages (from-to)74-81
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5296
DOIs
Publication statusPublished - 2004
Externally publishedYes
EventDocument Recognition and Retrieval XI - San Jose, CA, United States
Duration: 2004 Jan 212004 Jan 22

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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