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성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 Optimization of an Image Set by Genetic Feature Selection for Real-time Photomosaics
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저자
최윤석, 구본기, 문병로
발행일
201007
출처
Genetic and Evolutionary Computation Conference (GECCO) 2010, pp.1309-1310
DOI
https://dx.doi.org/10.1145/1830483.1830717
협약과제
10MT1600, 방통융합형 Full 3D 복원 기술 개발(표준화연계), 구본기
초록
We present a genetic feature selection method for the optimization of an image set for producing real-time photomosaics. A photomosaic is an image that is divided into grid cells, each of which is replaced with another image of an appropriate color pattern. Construction of a photomosaic requires a large set of tile images with different patterns. However, a large number of photo images requires expensive pattern searching and a large storage space. These requirements can cause problems in applications to real-time domains or mobile devices with limited resources. We present a genetic feature selection method for building an optimized image set to accelerate pattern searching and minimize the memory cost.