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Optimization of Classroom Teaching Quality Based on Multimedia Feature Extraction Technology

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Title: Optimization of Classroom Teaching Quality Based on Multimedia Feature Extraction Technology
Language: English
Authors: Lin Zhu, Shujuan Xue
Source: International Journal of Web-Based Learning and Teaching Technologies. 2024 19(1).
Availability: IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
Peer Reviewed: Y
Page Count: 11
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Descriptors: Multimedia Instruction, Video Technology, Technology Uses in Education, Information Storage, Information Retrieval, Databases, Accuracy, Interaction, Teacher Effectiveness, Instructional Effectiveness, Metadata
DOI: 10.4018/IJWLTT.336851
ISSN: 1548-1093
1548-1107
Abstract: In this article, the research of multimedia teaching video content feature extraction is carried out. According to the file structure, data type, and storage mechanism of the teaching video, a program is developed to automatically extract the structural features of the teaching video content, and a storage and retrieval database is established. The research results show that the accuracy rate of various videos compiled through genie 8.0 for teaching videos exceeds 94%. The recall rate of various videos exceeds 95%. The accuracy and recall of advertisements have reached 100%. Among the elements of teaching video content features, the number of graphs is the highest, followed by film clips, accounting for 14.18. Image, vivid, and interactive multimedia teaching video technology has greatly improved teaching effectiveness, promoting students to better understand and remember knowledge points. The research results provide theoretical data support for multimedia feature extraction to optimize classroom teaching quality.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1428077
Database: ERIC
FullText Text:
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  Data: Optimization of Classroom Teaching Quality Based on Multimedia Feature Extraction Technology
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  Data: <searchLink fieldCode="AR" term="%22Lin+Zhu%22">Lin Zhu</searchLink><br /><searchLink fieldCode="AR" term="%22Shujuan+Xue%22">Shujuan Xue</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Web-Based+Learning+and+Teaching+Technologies%22"><i>International Journal of Web-Based Learning and Teaching Technologies</i></searchLink>. 2024 19(1).
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  Data: IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
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  Data: 11
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Multimedia+Instruction%22">Multimedia Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Video+Technology%22">Video Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Storage%22">Information Storage</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Retrieval%22">Information Retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Accuracy%22">Accuracy</searchLink><br /><searchLink fieldCode="DE" term="%22Interaction%22">Interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Effectiveness%22">Teacher Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Effectiveness%22">Instructional Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Metadata%22">Metadata</searchLink>
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  Data: 10.4018/IJWLTT.336851
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  Data: 1548-1093<br />1548-1107
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  Data: In this article, the research of multimedia teaching video content feature extraction is carried out. According to the file structure, data type, and storage mechanism of the teaching video, a program is developed to automatically extract the structural features of the teaching video content, and a storage and retrieval database is established. The research results show that the accuracy rate of various videos compiled through genie 8.0 for teaching videos exceeds 94%. The recall rate of various videos exceeds 95%. The accuracy and recall of advertisements have reached 100%. Among the elements of teaching video content features, the number of graphs is the highest, followed by film clips, accounting for 14.18. Image, vivid, and interactive multimedia teaching video technology has greatly improved teaching effectiveness, promoting students to better understand and remember knowledge points. The research results provide theoretical data support for multimedia feature extraction to optimize classroom teaching quality.
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    Languages:
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        PageCount: 11
    Subjects:
      – SubjectFull: Multimedia Instruction
        Type: general
      – SubjectFull: Video Technology
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Information Storage
        Type: general
      – SubjectFull: Information Retrieval
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      – SubjectFull: Databases
        Type: general
      – SubjectFull: Accuracy
        Type: general
      – SubjectFull: Interaction
        Type: general
      – SubjectFull: Teacher Effectiveness
        Type: general
      – SubjectFull: Instructional Effectiveness
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      – SubjectFull: Metadata
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      – TitleFull: Optimization of Classroom Teaching Quality Based on Multimedia Feature Extraction Technology
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            NameFull: Lin Zhu
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            NameFull: Shujuan Xue
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              Y: 2024
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            – TitleFull: International Journal of Web-Based Learning and Teaching Technologies
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