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)


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.


E-learning Lecture outline Adaptive slides analysis 


  1. 1.
    Grabe, M., Christopherson, K.: Optional student use of online lecture resources: resource preferences, performance and lecture attendance. J. Comput. Assist. Learn. 24(1), 1–10 (2008)CrossRefGoogle Scholar
  2. 2.
    Lonn, S., Teasley, S.D.: Saving time or innovating practice: investigating perceptions and uses of learning management systems. Comput. Educ. 53(3), 686–694 (2009)CrossRefGoogle Scholar
  3. 3.
    Che, X., Luo, S., Wang, C., Meinel, C.: An attempt at mooc localization for chinese-speaking users. Int. J. Inf. Educ. Technol. 6(2), 90 (2016)CrossRefGoogle Scholar
  4. 4.
    Zhang, J., Chan, R.H.Y., Fung, P., Cao, L.: A comparative study on speech summarization of broadcast news and lecture speech. In: Interspeech. pp. 2781–2784. Citeseer (2007)Google Scholar
  5. 5.
    Onishi, M., Izumi, M., Fukunaga, K.: Blackboard segmentation using video image of lecture and its applications. In: 15th International Conference on Pattern Recognition, Proceedings, vol. 4, pp. 615–618. IEEE (2000)Google Scholar
  6. 6.
    Hill, A., Arford, T., Lubitow, A., Smollin, L.M.: Im ambivalent about it the dilemmas of powerpoint. Teach. Sociol. 40(3), 242–256 (2012)CrossRefGoogle Scholar
  7. 7.
    Levasseur, D.G., Kanan Sawyer, J.: Pedagogy meets powerpoint: a research review of the effects of computer-generated slides in the classroom. Rev. Commun. 6(1–2), 101–123 (2006)CrossRefGoogle Scholar
  8. 8.
    Li, K., Wang, J., Wang, H., Dai, Q.: Structuring lecture videos by automatic projection screen localization and analysis. IEEE Trans. Pattern Anal. Mach. Intell. 37(6), 1233–1246 (2015)CrossRefGoogle Scholar
  9. 9.
    Schroth, G., Cheung, N.M., Steinbach, E., Girod, B.: Synchronization of presentation slides and lecture videos using bit rate sequences. In: 18th IEEE International Conference on Image Processing (ICIP), pp. 925–928. IEEE (2011)Google Scholar
  10. 10.
    Yang, H., Siebert, M., Luhne, P., Sack, H., Meinel, C.: Lecture video indexing and analysis using video ocr technology. In: 2011 Seventh International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), pp. 54–61. IEEE (2011)Google Scholar
  11. 11.
    Atapattu, T., Falkner, K., Falkner, N.: Automated extraction of semantic concepts from semi-structured data: supporting computer-based education through the analysis of lecture notes. In: Liddle, S.W., Schewe, K.-D., Tjoa, A.M., Zhou, X. (eds.) DEXA 2012, Part I. LNCS, vol. 7446, pp. 161–175. Springer, Heidelberg (2012) CrossRefGoogle Scholar
  12. 12.
    Yang, H., Gruenewald, F., Meinel, C.: Automated extraction of lecture outlines from lecture videos-a hybrid solution for lecture video indexing. In: Proceedings of 4th International Conference on Computer Supported Education (CSEDU), pp. 13–22 (2012)Google Scholar
  13. 13.
    Che, X., Yang, H., Meinel, C.: Tree-structure outline generation for lecture videos with synchronized slides. In: 2013 Second International Conference on e-Learning and e-Technologies in Education (ICEEE), pp. 87–92. IEEE (2013)Google Scholar
  14. 14.
    Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions and reversals. In: Soviet physics doklady, vol. 10, p. 707 (1966)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Hasso Plattner InstituteUniversity of PotsdamPotsdamGermany

Personalised recommendations