An Implementation of a System for Video Translation on Window Platform Using OCR (윈도우 기반의 광학문자인식을 이용한 영상 번역 시스템 구현)

Sunmyung Hwang (황선명); Yeom Hee Gyun (염희균)

An Implementation of a System for Video Translation on Window Platform Using OCR

Journal of Internet of Things and Convergence
Abbr : JKIOTS
2019, 5(2), pp.15-20
Publisher : The Korea Internet of Things Society
Research Area : Engineering > Computer Science > Internet Information Processing
Received : September 21, 2019
Accepted : November 24, 2019
Published : December 31, 2019

Sunmyung Hwang ¹, Yeom Hee Gyun ²

¹대전대학교
²대전대학교 컴퓨터공학과

Candidate

ABSTRACT

As the machine learning research has developed, the field of translation and image analysis such as optical character recognition has made great progress. However, video translation that combines these two is slower than previous developments. In this paper, we develop an image translator that combines existing OCR technology and translation technology and verify its effectiveness. Before developing, we presented what functions are needed to implement this system and how to implement them, and then tested their performance. With the application program developed through this paper, users can access translation more conveniently, and also can contribute to ensuring the convenience provided in any environment.

KEYWORDS

Machine learning, Optical Character Recognition, Image translator, Machine translation, Video translation

Citation status

* References for papers published after 2023 are currently being built.

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Journal Central

Journal of Internet of Things and Convergence 2023 KCI Impact Factor : 0.89