Text Processing Method for E-learning Videos

Jun Sun, Yukata Katsuyama, Satoshi Naoi

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2003 Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003
PublisherIEEE Computer Society
ISBN (Electronic)0769519008
DOIs
Publication statusPublished - 2003
Externally publishedYes
EventConference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003 - Madison, United States
Duration: 2003 Jun 162003 Jun 22

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume3
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

ConferenceConference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003
CountryUnited States
CityMadison
Period03/6/1603/6/22

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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