Development and Distribution of Deep Fake e-Learning Contents Videos Using Open-Source Tools

• 영문명: Development and Distribution of Deep Fake e-Learning Contents Videos Using Open-Source Tools
• 발행기관: 한국유통과학회
• 저자명: Won Ho Ho-Sung WOO Dae-Hyun LEE Yong KIM
• 간행물 정보: 『유통과학연구(JDS)』제20권 제11호, 121~129쪽, 전체 9쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2022.11.30

영문 초록

Purpose: Artificial intelligence is widely used, particularly in the popular neural network theory called Deep learning. The improvement of computing speed and capability expedited the progress of Deep learning applications. The application of Deep learning in education has various effects and possibilities in creating and managing educational content and services that can replace human cognitive activity. Among Deep learning, Deep fake technology is used to combine and synchronize human faces with voices. This paper will show how to develop e-Learning content videos using those technologies and open-source tools. Research design, data, and methodology: This paper proposes 4 step development process, which is presented step by step on the Google Collab environment with source codes. This technology can produce various video styles. The advantage of this technology is that the characters of the video can be extended to any historical figures, celebrities, or even movie heroes producing immersive videos. Results: Prototypes for each case are also designed, developed, presented, and shared on YouTube for each specific case development Conclusions: The method and process of creating elearning video contents from the image, video, and audio files using Deep fake open-source technology was successfully implemented.

목차

1. Introduction

2. Literature Review

3. Methodology

4. Results and Discussion

5. Conclusions

References

키워드

e-Learning Deep learning Deep fake Open-source Distribution