Framework for Knowledge Discovery in Educational Video Repositories

Authors

  • Jorão Gomes Jr. Postgraduate Program in Computer Science, Universidade Federal de Juiz de Fora, 36036-900, Minas Gerais, Brazil
  • Laura Lima Dias Postgraduate Program in Computer Science, Universidade Federal de Juiz de Fora, 36036-900, Minas Gerais, Brazil
  • Eduardo Rocha Soares Postgraduate Program in Computer Science, Universidade Federal de Juiz de Fora, 36036-900, Minas Gerais, Brazil
  • Eduardo Barrere LApIC Research Group, Department of Computer Science, Institute of Exact Sciences, Universidade Federal de Juiz de Fora, 36036-900, Minas Gerais, Brazil
  • Jairo Francisco de Souza LApIC Research Group, Department of Computer Science, Institute of Exact Sciences, Universidade Federal de Juiz de Fora, 36036-900, Minas Gerais, Brazil

DOI:

https://doi.org/10.31577/cai_2019_6_1375

Keywords:

Semantic annotation, knowledge discovery, video repositories

Abstract

The ease of creating digital content coupled with technological advancements allows institutions and organizations to further embrace distance learning. Teaching materials also receive attention, because it is difficult for the student to obtain adequate didactic material, being necessary a high effort and knowledge about the material and the repository. This work presents a framework that enables the automatic metadata generation for materials available in educational video repositories. Each module of the framework works autonomously and can be used in isolation, complemented by another technique or replaced by a more appropriate approach to the field of use, such as repositories with other types of media or other content.

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Published

2020-02-29

How to Cite

Gomes Jr., J., Dias, L. L., Soares, E. R., Barrere, E., & de Souza, J. F. (2020). Framework for Knowledge Discovery in Educational Video Repositories. COMPUTING AND INFORMATICS, 38(6), 1375–1402. https://doi.org/10.31577/cai_2019_6_1375