상세정보
학술대회
Theme-Related Keyword Extraction from Free Text Descriptions of Image Contents for Tagging
- 발행일
- 201802
- 출처
- International Conference on Advanced Communications Technology (ICACT) 2018, pp.537-541
- 협약과제
- 17CH1100, Location Mapping 기반 스마트 영상 콘텐츠 생성 및 서비스 기술 개발, 장윤섭
- 초록
- This paper discusses a method for automatic theme-related keyword extraction from users' natural language comments on their photographs and videos. 'Theme' indicates the concepts circumscribing and describing the content of the photos and videos such as pets, natural sites, palaces and places. The method employs a deep learning algorithm, RNN(Recurrent Neural Network) that is good at recognizing implicit patterns of sequential data. The method has been applied to the construction of a place-related image content DB, and delivers reasonably good performance even in case the measure (i.e. themes of image contents) is abstract and vague.
- KSP 제안 키워드
- Free text, Keyword extraction, Natural sites, Recurrent Neural Network(RNN), Sequential data, deep learning(DL), deep learning algorithm, natural language