지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.1
- 수록면
- 134 - 145 (12page)
- DOI
- 10.9717/kmms.2024.27.1.134
이용수
초록· 키워드
오류제보하기
This study focuses on enhancing multilingual web content readability, particularly in Korean-to-Chinese translation, while maintaining font consistency. The developed system utilizes OCR technology to extract text from Korean web pages, automatically translates it into Chinese a translation API, and recommends suitable Chinese fonts based on a clustering-based similarity method. This approach aims to preserve the original design intent and information delivery while optimizing readability. It offers practical advantages and contributes to improving communication efficiency and user satisfaction in multilingual digital environments.
목차
ABSTRACT
1. 서론
2. 관련 연구
3. 시스템 설계
4. OCR 및 번역 API 성능 비교 및 결과
5. 군집화 및 글꼴 추천 결과 분석
6. 결론
REFERENCE
참고문헌 (22)
참고문헌 신청
H. Kim and S. Lim, “Application and Analysis of Emotional Attributes Using Crowdsourced Method for Hangul Font Recommendation System,” Journal of Korea Multimedia Society, Vol. 20, No. 4, pp. 704-712, 2017.
J. Jeon, D. Park, S. LIm, Y. Ji, and S. Lim, “Automatic Extraction of Hangul Stroke Element Using Faster R-CNN for Font Similarity,” Journal of Korea Multimedia Society, Vol. 23, No. 8, pp. 953-964, 2020.
X. Kong and Z. Liu, “Research on Monolingual Font Recommendation based on Target Perception,” 2020 International Conference on Intelligent Design (ICID), IEEE, pp. 94-97, 2020.
D. Park, J. Jeon, S. Lim and S. Lim, “A Study on Influence of Stroke Element Properties to find Hangul Typeface Similarity,” Journal of Korea Multimedia Society, Vol. 23, No. 12, pp. 1552-1564, 2020.
S. Lim, J. Lee, X. Zhao, and Y. Song, “Detection Model of Hangul Stroke Elements: Expansion of Non-Structured Font and Influence Evaluation by Stroke Element Combinations,” Electronics, Vol. 12, Issue 2, 383, 2023.
J. Jeon, D. Park, S. LIm, Y. Ji, and S. Lim, “Automatic Extraction of Hangul Stroke Element Using Faster R-CNN for Font Similarity,” Journal of Korea Multimedia Society, Vol. 23, No. 8, pp. 953-964, 2020.
X. Kong and Z. Liu, “Research on Monolingual Font Recommendation based on Target Perception,” 2020 International Conference on Intelligent Design (ICID), IEEE, pp. 94-97, 2020.
D. Park, J. Jeon, S. Lim and S. Lim, “A Study on Influence of Stroke Element Properties to find Hangul Typeface Similarity,” Journal of Korea Multimedia Society, Vol. 23, No. 12, pp. 1552-1564, 2020.
S. Lim, J. Lee, X. Zhao, and Y. Song, “Detection Model of Hangul Stroke Elements: Expansion of Non-Structured Font and Influence Evaluation by Stroke Element Combinations,” Electronics, Vol. 12, Issue 2, 383, 2023.
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