Textile image retrieval integrating contents, emotion and metadata
Kyoung-Mi Lee, U-Chang Park, Lee Eun-Ok, Hye-Young Kwon, Eun-Mi Cha · Journal of Internet Computing and services · 2008
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.