Webpage-based and video summarization-based learning platform for online multimedia learning

Wen Hsuan Chang, Yu Chieh Wu, Jie Chi Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


In general, watch and view the whole video is often time-consuming which involves displaying the video film linearly. In this paper, we propose a webpage-based and video summarization-based learning platform (WVSUM). The learning platform provides not only video lecture preview but also combines image, text, and video information as learning materials. The input videos can be automatically transformed into online lectures without human annotators through the subtitle extraction techniques. By means of the extracted caption words, the designed text summarization method is applied to generate the summary. Our summarization approach can generate variant length of video summary by setting up the time constraint. To validate the effectiveness, we compare with the existing fast forwards (one kind of video surrogate interface) and evaluate users' comprehension to video content in the limited viewing time. Thirty undergraduate students were invited to examine the video learning platforms. The experimental results showed that our WVSUM had better effect than fast forwards on comprehension to videos. In terms of system usage and satisfaction, our WVSUM achieved significantly better scores than the classic fast forwards surrogate.

Original languageEnglish
Title of host publicationEdutainment Technologies
Subtitle of host publicationEducational Games and Virtual Reality/Augmented Reality Applications - 6th International Conference on E-learning and Games, Edutainment 2011, Proceedings
Number of pages8
StatePublished - 2011
Event6th International Conference on E-Learning and Games, Edutainment 2011 - Taipei, Taiwan
Duration: 7 Sep 20119 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6872 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th International Conference on E-Learning and Games, Edutainment 2011


  • video content-based analysis
  • video learning
  • video text summarization


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