Development of method to structure image-quality evaluation model for digital camera based on human sensitivity using various words to describe feelings of being moved E Aiba1, K Numata1, T X Fujisawa2, N Nagata1 |
|---|
1Research Center for Kansei Value Creation, Kwansei Gakuin University / AIST / JSPS, Japan |
| As use of digital cameras became widespread, automatic image-processing that varies depending on the scene became familiar to everyone. However, it is unclear which image-processing settings reflect which human sensitivities. An evaluation method has not been established. The purpose of this study is to develop a method to structure a comprehensive image-quality evaluation model for digital cameras based on human sensitivity. Our focus is the feeling of being moved, one of the strongest human sensitivities, because there are many words in Japanese to express the feeling of being moved. In the first experiment, 69 words were chosen by participants according to whether the words could express the feeling of being moved in relation to image quality. In the second experiment, the relationship among words was measured by multidimensional scaling. In the third experiment, participants evaluated 180 images by choosing among several words to describe the images. The images were plotted on two dimensions obtained by multidimensional scaling and categorised by cluster analysis. As a result, nine images were categorised as a cluster that evoked strong feelings of being moved. The images, of vast landscapes, were taken by professional photographers and used light gradation efficiently. |
| Up Home |
|---|