Content‐based indexing and teaching focus mining for lecture videos

Yu‐Tzu Lin (Institute of Curriculum Instruction and Technology, National Chi Nan University, Nantou City, Taiwan)
Bai‐Jang Yen (Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei City, Taiwan)
Chia‐Hu Chang (Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan)
Greg C. Lee (Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei City, Taiwan)
Yu‐Chih Lin (Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan)

Interactive Technology and Smart Education

ISSN: 1741-5659

Publication date: 7 September 2010

Abstract

Purpose

The purpose of this paper is to propose an indexing and teaching focus mining system for lecture videos recorded in an unconstrained environment.

Design/methodology/approach

By applying the proposed algorithms in this paper, the slide structure can be reconstructed by extracting slide images from the video. Instead of applying traditional shot‐change detection methods for general videos, a new edge‐based shot‐change detection algorithm is designed specifically for lecture videos. Besides, light influence and occlusions in the lecture video can be removed to obtain more accurate results. Moreover, the teaching focus can be extracted according to instructors' behavior based on the analyses of visual and audio information extracted from the lecture video.

Findings

Experiment results show the feasibility of the proposed method, that is, the slide shots can be correctly detected even if the illumination conditions are variant or the slides are obstructed by the instructor or students, and the teaching focus can be extracted to provide learners with an efficient way to study.

Research limitations/implications

This paper provides only technical experiments, but lacks complete educational study. In the future, more subjective tests will be designed to examine the educational effects on students.

Practical implications

This paper proposes a practical indexing and teaching focus mining system for lecture videos which can help students learn.

Originality/value

The proposed algorithms for indexing and teaching focus mining are derived and applied in lecture videos in this paper.

Keywords

Citation

Lin, Y., Yen, B., Chang, C., Lee, G. and Lin, Y. (2010), "Content‐based indexing and teaching focus mining for lecture videos", Interactive Technology and Smart Education, Vol. 7 No. 3, pp. 131-153. https://doi.org/10.1108/17415651011071613

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Publisher

:

Emerald Group Publishing Limited

Copyright © 2010, Emerald Group Publishing Limited

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