Utilizing Mobile-based Deep Learning Model for Managing Video in Knowledge Management System

Authors

  • Harjanto Prabowo Bina Nusantara University
  • Tjeng Wawan Cenggoro Bina Nusantara University
  • Arif Budiarto Bina Nusantara University
  • Anzaludin Samsinga Perbangsa Bina Nusantara University
  • Hery Harjono Muljo Bina Nusantara University
  • Bens Pardamean Bina Nusantara University

DOI:

https://doi.org/10.3991/ijim.v12i6.8563

Keywords:

deep learning, knowledge management, video classification

Abstract


Knowledge Management (KM) system is a core feature in facilitating intellectual growth in organization. However, there are numerous difficulties in maintaining a reliable KM system. One of the challenges is to manage knowledge materials in video format. A video file contains complex data that lead to the difficulties in managing them. Without an intelligent system, managing videos for KM requires a laborious effort. In this paper, an intelligent framework for KM system, embedded with deep learning model, is proposed. The use of the deep learning model alleviates the heavy burden of video materials management in KM system. To enhance the agility of the system, mobile-based deep learning model is utilized in the framework.

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Published

2018-10-29

How to Cite

Prabowo, H., Cenggoro, T. W., Budiarto, A., Perbangsa, A. S., Muljo, H. H., & Pardamean, B. (2018). Utilizing Mobile-based Deep Learning Model for Managing Video in Knowledge Management System. International Journal of Interactive Mobile Technologies (iJIM), 12(6), pp. 62–73. https://doi.org/10.3991/ijim.v12i6.8563

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Section

Papers