Kansei image retrieval based on region of interest

Wei Lu; Lin Ni

doi:10.1117/12.654986

3 November 2005 Kansei image retrieval based on region of interest

Wei Lu, Lin Ni

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 604326 (2005) https://doi.org/10.1117/12.654986
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

Wei Lu and Lin Ni "Kansei image retrieval based on region of interest", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604326 (3 November 2005); https://doi.org/10.1117/12.654986

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