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Retrieval of Identical Clothing Images Based on Non-Static Color Histogram Analysis
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  • Retrieval of Identical Clothing Images Based on Non-Static Color Histogram Analysis
  • Retrieval of Identical Clothing Images Based on Non-Static Color Histogram Analysis
저자명
김구진,Choi. Yoo-Joo,Moon. Nam-Mee,Kim. Ku-Jin
간행물명
방송공학회논문지
권/호정보
2009년|14권 4호|pp.397-408 (12 pages)
발행정보
한국방송공학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

In this paper, we present a non-static color histogram method to retrieve clothing images that are similar to a query clothing. Given clothing area, our method automatically extracts major colors by using the octree-based quantization approach[16]. Then, a color palette that is composed of the major colors is generated. The feature of each clothing, which can be either a query or a database clothing image, is represented as a color histogram based on its color palette. We define the match color bins between two possibly different color palettes, and unify the color palettes by merging or deleting some color bins if necessary. The similarity between two histograms is measured by using the weighted Euclidean distance between the match color bins, where the weight is derived from the frequency of each bin. We compare our method with previous histogram matching methods through experiments. Compared to HSV cumulative histogram-based approach, our method improves the retrieval precision by 13.7 % with less number of color bins.