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

Harjanto Prabowo, Tjeng Wawan Cenggoro, Arif Budiarto, Anzaludin Samsinga Perbangsa, Hery Harjono Muljo, Bens Pardamean

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.


Keywords


deep learning; knowledge management; video classification

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International Journal of Interactive Mobile Technologies (iJIM) – eISSN: 1865-7923
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