• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Query-by-emotion sketch for local emotion-based image retrieval


Kyoung-Mi Lee, Journal of Internet Computing and Services, Vol. 10, No. 6, pp. 113-122, Dec. 2009
Full Text:
Keywords: Image retrieval, content-based retrieval, semantic retrieval, emotional color

Abstract

In order to retrieve images with different emotions in regions of the images, this paper proposes the image retrieval system using emotion sketch. The proposed retrieval system divides an image into $17{\times}17$ sub-regions and extracts emotion features in each sub-region. In order to extract the emotion features, this paper uses emotion colors on 160 emotion words from H. Nagumo's color scheme imaging chart. We calculate a histogram of each sub-region and consider one emotion word having the maximal value as a representative emotion word of the sub-region. The system demonstrates the effectiveness of the proposed emotion sketch and our experimental results show that the system successfully retrieves on the Corel image database.


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Cite this article
[APA Style]
Lee, K. (2009). Query-by-emotion sketch for local emotion-based image retrieval. Journal of Internet Computing and Services, 10(6), 113-122.

[IEEE Style]
K. Lee, "Query-by-emotion sketch for local emotion-based image retrieval," Journal of Internet Computing and Services, vol. 10, no. 6, pp. 113-122, 2009.

[ACM Style]
Kyoung-Mi Lee. 2009. Query-by-emotion sketch for local emotion-based image retrieval. Journal of Internet Computing and Services, 10, 6, (2009), 113-122.