[정보검색론] 텍스트 기반 이미지 검색(Text-based image retrieval)(영문)
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- 2010.12.07 / 2019.12.24
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추천 연관자료
- 목차
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1. Introduction
1.1.Text-based image retrieval
2. Advantage of text-based image retrieval
2.1. People retrieval
2.2. Emotion retrieval
2.3. Compound retrieval
2.4. Other concepts retrieval
3. Disadvantage of text-based image retrieval
3.1. Concept retrieval
3.2. Natural language retrieval
3.2.1. Morphological analysis
3.2.2. Semantic analysis
4. Conclusion
5. Reference
- 본문내용
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2.3. Compound retrieval
When using compound word, we can separate similar images such as sky and sea. This word is hard to be separated by color or shape. Text can be a useful vehicle by searching images. For example, we typed word 'blue', 'snow', and 'tree'. Although Google image retrieval is based in keyword and idee visual search lab is based in tag, we can get result which is similar to result that is retrieved in other contents-based image retrieval.
2.4. Other concepts retrieval: Location, Religion, Event, Style
We searched other concepts: Praha, Buddhism, Expo 2010 Shanghai China and impressionism. This is the advantage of text-based image retrieval because these concepts are hard to express other contents.
- 참고문헌
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⑴ 김필구, 「정보검색시스템의 기법 및 발전 방향:텍스트 검색기법을 중심으로」, 디지털도서관11(1998.10), 한국디지털도서관포럼
⑵ Imran Shafiq Ahmad, "Text-based image indexing and retrieval using formal concept analysis", In KSⅡ transactions on internet and information systems vol.2, no.3, June 2008
⑶ Town and Sinclair, "Language-based querying of image collections on the basis of an expensible ontology", 2004
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