Text Processing Method for E-learning Videos

Jun Sun; Yukata Katsuyama; Satoshi Naoi

doi:10.1109/CVPRW.2003.10024

Text Processing Method for E-learning Videos

Jun Sun, Yukata Katsuyama, Satoshi Naoi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

E-learning has received more and more attention in recent years. The abundant text information in E-learning videos is very valuable for information indexing, searching and other applications. In order to effectively extract the text from E-learning videos, a text processing method is proposed in this paper. The method is composed of two parts: text change frame detection and text extraction from image. The purpose of text change frame detection is to remove the redundant frames from the video and reduce the total processing time. A new text extraction algorithm is proposed to extract the text areas in the text change frames for further recognition. Experiments on lecture video manifest the good performance of our method.

Original language	English
Title of host publication	2003 Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003
Publisher	IEEE Computer Society
ISBN (Electronic)	0769519008
DOIs	https://doi.org/10.1109/CVPRW.2003.10024
Publication status	Published - 2003
Externally published	Yes
Event	Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003 - Madison, United States Duration: 2003 Jun 16 → 2003 Jun 22

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	3
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003
Country/Territory	United States
City	Madison
Period	03/6/16 → 03/6/22

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1109/CVPRW.2003.10024

Cite this

Text Processing Method for E-learning Videos. / Sun, Jun; Katsuyama, Yukata; Naoi, Satoshi.
2003 Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003. IEEE Computer Society, 2003. 4624282 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sun, J, Katsuyama, Y & Naoi, S 2003, Text Processing Method for E-learning Videos. in 2003 Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003., 4624282, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 3, IEEE Computer Society, Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003, Madison, United States, 03/6/16. https://doi.org/10.1109/CVPRW.2003.10024

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title = "Text Processing Method for E-learning Videos",

abstract = "E-learning has received more and more attention in recent years. The abundant text information in E-learning videos is very valuable for information indexing, searching and other applications. In order to effectively extract the text from E-learning videos, a text processing method is proposed in this paper. The method is composed of two parts: text change frame detection and text extraction from image. The purpose of text change frame detection is to remove the redundant frames from the video and reduce the total processing time. A new text extraction algorithm is proposed to extract the text areas in the text change frames for further recognition. Experiments on lecture video manifest the good performance of our method.",

author = "Jun Sun and Yukata Katsuyama and Satoshi Naoi",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003 ; Conference date: 16-06-2003 Through 22-06-2003",

year = "2003",

doi = "10.1109/CVPRW.2003.10024",

language = "English",

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N2 - E-learning has received more and more attention in recent years. The abundant text information in E-learning videos is very valuable for information indexing, searching and other applications. In order to effectively extract the text from E-learning videos, a text processing method is proposed in this paper. The method is composed of two parts: text change frame detection and text extraction from image. The purpose of text change frame detection is to remove the redundant frames from the video and reduce the total processing time. A new text extraction algorithm is proposed to extract the text areas in the text change frames for further recognition. Experiments on lecture video manifest the good performance of our method.

AB - E-learning has received more and more attention in recent years. The abundant text information in E-learning videos is very valuable for information indexing, searching and other applications. In order to effectively extract the text from E-learning videos, a text processing method is proposed in this paper. The method is composed of two parts: text change frame detection and text extraction from image. The purpose of text change frame detection is to remove the redundant frames from the video and reduce the total processing time. A new text extraction algorithm is proposed to extract the text areas in the text change frames for further recognition. Experiments on lecture video manifest the good performance of our method.

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ER -

Text Processing Method for E-learning Videos

Abstract

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Conference

ASJC Scopus subject areas

Access to Document

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