Stereotype-based semantic expansion for image retrieval = 이미지 검색을 위한 스테레오타입 기반 의미확장

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We present a novel, stereotype-based semantic expansion approach to identify various image sets that stereotypically represent different aspects of a given keyword. Specifically, given an adjective keyword query, our method expands it to a set of noun sub-keywords, which are stereotypical examples that can be described by the given adjective (e.g., "cute" to "{infant, kitten, ...}"). We also perform a similar process for given noun keywords with adjectives (e.g., "infant" to "{cute, sweet, ...}"). To perform such expansion, we use Google Books n-grams, a new corpus of 500 million digitized books. We harvest stereotypical relationships among nouns and adjectives by utilizing useful lexical patterns such as similes on n-grams. In order to demonstrate benefits of our method, we have applied our method to image retrieval. By suggesting our expanded sub-keywords additionally to commonly co-occurring terms our method can explore unusual concepts and their corresponding images that are stereotypically related to the keyword.
Advisors
Yoon, Sung-Euiresearcher윤성의
Description
한국과학기술원 : 웹사이언스공학전공,
Publisher
한국과학기술원
Issue Date
2013
Identifier
566507/325007  / 020114453
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 웹사이언스공학전공, 2013.8, [ iv, 21 p. ]

Keywords

image retrieval; 쿼리확장; Query expansion; 이미지검색

URI
http://hdl.handle.net/10203/197101
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=566507&flag=dissertation
Appears in Collection
WST-Theses_Master(석사논문)
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