Textile image retrieval integrating contents, emotion and metadata


Kyoung-Mi Lee, U-Chang Park, Eun-Ok Lee, Hye-Young Kwon, Eun-MI Cha, Journal of Information Processing Systems Vol. 9, No. 5, pp. 99-108, Oct. 2008  


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Abstract

This paper proposes an image retrieval system which integrates metadata, contents, and emotions in textile images. First, the proposed system searches images using metadata. Among searched images, the system retrieves similar images based on color histogram, color sketch, and emotion histogram. To extract emotion features, this paper uses emotion colors which was proposed on 160 emotion words by H. Nagumo. To enhance the user's convenience, the proposed textile image retrieval system provides additional functions as like enlarging an image, viewing color histogram, viewing color sketch, and viewing repeated patterns.


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Cite this article
[APA Style]
Lee, K., Park, U., Lee, E., Kwon, H., & Cha, E. (2008). Textile image retrieval integrating contents, emotion and metadata. Journal of Internet Computing and Services, 9(5), 99-108.

[IEEE Style]
K. Lee, U. Park, E. Lee, H. Kwon, E. Cha, "Textile image retrieval integrating contents, emotion and metadata," Journal of Internet Computing and Services, vol. 9, no. 5, pp. 99-108, 2008.

[ACM Style]
Kyoung-Mi Lee, U-Chang Park, Eun-Ok Lee, Hye-Young Kwon, and Eun-MI Cha. 2008. Textile image retrieval integrating contents, emotion and metadata. Journal of Internet Computing and Services, 9, 5, (2008), 99-108.