Indexing and teaching focus mining of lecture videos

Yu Tzu Lin, Bai Jang Yen, Chia Hu Chang, Huei Fang Yang, Greg C. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper proposes an indexing and teaching focus mining system for lecture videos recorded in an unconstraint environment. The slide structure can be reconstructed by an edge-based shot change detection algorithm. Besides, the teaching focus can be extracted according to instructor's behavior, including the gesture, the lecture time for each slide, and the speech speed. Experiment results show the feasibility of the proposed method, that is, the slide shots can be correctly detected even if the illumination conditions is variant or the slides are obstructed by the instructor or students, and the teaching focus can be well extracted to provide learners an efficient way to study.

Original languageEnglish
Title of host publicationISM 2009 - 11th IEEE International Symposium on Multimedia
Pages681-686
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 1
Event11th IEEE International Symposium on Multimedia, ISM 2009 - San Diego, CA, United States
Duration: 2009 Dec 142009 Dec 16

Publication series

NameISM 2009 - 11th IEEE International Symposium on Multimedia

Other

Other11th IEEE International Symposium on Multimedia, ISM 2009
CountryUnited States
CitySan Diego, CA
Period09/12/1409/12/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Software

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  • Cite this

    Lin, Y. T., Yen, B. J., Chang, C. H., Yang, H. F., & Lee, G. C. (2009). Indexing and teaching focus mining of lecture videos. In ISM 2009 - 11th IEEE International Symposium on Multimedia (pp. 681-686). [5364219] (ISM 2009 - 11th IEEE International Symposium on Multimedia). https://doi.org/10.1109/ISM.2009.37