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Content-Based Indexing and Teaching Focus Mining for Lecture Videos

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Title: Content-Based Indexing and Teaching Focus Mining for Lecture Videos
Language: English
Authors: Lin, Yu-Tzu, Yen, Bai-Jang, Chang, Chia-Hu
Source: Interactive Technology and Smart Education. 2010 7(3):131-153.
Availability: Emerald. One Mifflin Place Suite 400, Harvard Square, Cambridge, MA 02138. Tel: 617-576-5782; e-mail: america@emeraldinsight.com; Web site: http://www.emeraldinsight.com
Peer Reviewed: Y
Physical Description: PDF
Page Count: 23
Publication Date: 2010
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Video Technology, Lecture Method, Indexing, Educational Experiments, Educational Technology, Computer System Design, Computer Software, Instructional Design, Multimedia Materials, Multimedia Instruction, Distance Education, Web Based Instruction, Computer Software Evaluation, Programming, Navigation (Information Systems), Computer Assisted Instruction
DOI: 10.1108/17415651011071613
ISSN: 1741-5659
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. (Contains 22 figures and 7 tables.)
Abstractor: As Provided
Number of References: 36
Entry Date: 2011
Accession Number: EJ922885
Database: ERIC
FullText Text:
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  Data: Content-Based Indexing and Teaching Focus Mining for Lecture Videos
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  Data: <searchLink fieldCode="AR" term="%22Lin%2C+Yu-Tzu%22">Lin, Yu-Tzu</searchLink><br /><searchLink fieldCode="AR" term="%22Yen%2C+Bai-Jang%22">Yen, Bai-Jang</searchLink><br /><searchLink fieldCode="AR" term="%22Chang%2C+Chia-Hu%22">Chang, Chia-Hu</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Interactive+Technology+and+Smart+Education%22"><i>Interactive Technology and Smart Education</i></searchLink>. 2010 7(3):131-153.
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  Data: Emerald. One Mifflin Place Suite 400, Harvard Square, Cambridge, MA 02138. Tel: 617-576-5782; e-mail: america@emeraldinsight.com; Web site: http://www.emeraldinsight.com
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Video+Technology%22">Video Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Lecture+Method%22">Lecture Method</searchLink><br /><searchLink fieldCode="DE" term="%22Indexing%22">Indexing</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Experiments%22">Educational Experiments</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+System+Design%22">Computer System Design</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Design%22">Instructional Design</searchLink><br /><searchLink fieldCode="DE" term="%22Multimedia+Materials%22">Multimedia Materials</searchLink><br /><searchLink fieldCode="DE" term="%22Multimedia+Instruction%22">Multimedia Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Distance+Education%22">Distance Education</searchLink><br /><searchLink fieldCode="DE" term="%22Web+Based+Instruction%22">Web Based Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software+Evaluation%22">Computer Software Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Programming%22">Programming</searchLink><br /><searchLink fieldCode="DE" term="%22Navigation+%28Information+Systems%29%22">Navigation (Information Systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Instruction%22">Computer Assisted Instruction</searchLink>
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  Data: 10.1108/17415651011071613
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  Data: 1741-5659
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. (Contains 22 figures and 7 tables.)
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  Label: Entry Date
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  Data: 2011
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  Label: Accession Number
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  Data: EJ922885
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ922885
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      – SubjectFull: Lecture Method
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