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Proceedings Paper

Kansei image retrieval based on region of interest
Author(s): Wei Lu; Lin Ni
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Paper Abstract

Kansei image retrieval is a new kind of retrieval technology with high complexity. However, it's likely that only some parts of the image would attract people and produce affections. Color imposes a great impact upon the feeling as the basic feature of image, and the entropy of the image also exhibits the information quantity. In this paper, we present a method of kansei image retrieval utilizing the color and entropy to extract regions of interest (ROI). Back propagation neural network is employed to map the color and entropy of ROI to affective feature space. Finally, we show some experimental results of ROI extraction and kansei image retrieval based on interest.

Paper Details

Date Published: 3 November 2005
PDF: 9 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604326 (3 November 2005); doi: 10.1117/12.654986
Show Author Affiliations
Wei Lu, Univ. of Science and Technology of China (China)
Lin Ni, Univ. of Science and Technology of China (China)

Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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