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http://dx.doi.org/10.3745/KIPSTB.2003.10B.2.179

Emotion from Color images and Its Application to Content-based Image Retrievals  

Park, Joong-Soo (우석대학교 전산정보학부)
Eum, Kyoung-Bae (군산대학교 컴퓨터공학과)
Shin, Kyung-Hae (전북대학교 대학원 영상공학과)
Lee, Joon-Whoan (전북대학교 전자정보공학부)
Park, Dong-Sun (전북대학교 전자정보공학부)
Publication Information
The KIPS Transactions:PartB / v.10B, no.2, 2003 , pp. 179-188 More about this Journal
Abstract
In content-based image retrieval, the query is an image itself and the retrieval process is the process that seeking the similar images to the given query image. In this way of retrieval, the user has to know the basic physical features of target images that he wants to retrieve. But it has some restriction because to retrieve the target image he has to know the basic physical feature space such as color, texture, shape and spatial relationship. In this paper, we propose an emotion-based retrieval system. It uses the emotion that color images have. It is different from past emotion-based image retrieval in point of view that it uses relevance feedback to estimate the users intend and it is easily combined with past content-based image retrieval system. To test the performance of our proposed system, we use MPEG-7 color descriptor and emotion language such as "warm", "clean", "bright" and "delight" We test about 1500 wallpaper images and get successful result.lpaper images and get successful result.
Keywords
Retrieval; Emotion; MPEG-7 Color Descriptor; Relevance Feed-back;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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