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Adaptive E-Lecture Video Outline Extraction Based on Slides Analysis

  • Xiaoyin CheEmail author
  • Haojin Yang
  • Christoph Meinel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9412)

Abstract

In this paper, we propose an automated adaptive solution to generate logical, accurate and detailed tree-structure outline for video-based online lectures, by extracting the attached slides and reconstructing their content. The proposed solution begins with slide-transition detection and optical character recognition, and then proceeds by a static method of analyzing the layout of single slide and the logical relations within the slides series. Some features about the under-processing slides series, such as a fixed title position, will be figured out and applied in the adaptive rounds to improve the outline quality. The result of our experiments shows that the general accuracy of the final lecture outline reaches 85 %, which is about 13 % higher than the static method.

Keywords

E-learning Lecture outline Adaptive slides analysis 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Hasso Plattner InstituteUniversity of PotsdamPotsdamGermany

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