Abstract
Image classification is helpful for searching and image retrieval in terms of corresponding to the preference of users. However previous works did not consider human emotion but perform the retrieval by using keywords or objects in image. In the field of color psychology, the color has been proven that an impact on the human emotion. Also, visual complexity such as spatial frequency affects to human emotion. In this paper, a new image classification method is proposed for analyzing the relationship between image components such as color and spatial frequency and human emotion. We collected totally 391 images which contained the three different kinds of scene categories such as natural scene, campus scene, and human made scene images from the public image database. Consequently, we confirmed that image can be reasonably classified by using the color and spatial frequency in terms of human emotion.
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Acknowledgements
This work was supported by the ICT R&D program of MSIP/IITP [R0126-15-1045, the development of technology for social life logging based on analysis of social emotion and intelligence of convergence content]. Also, this research was supported by the Bio & Medical Technology Development Program of the NRF funded by the Korean government, MSIP (2016M3A9E1915855).
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Park, M.W., Ko, D., Hwang, H., Moon, J., Lee, E.C. (2017). Image Classification Using Color and Spatial Frequency in Terms of Human Emotion. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_16
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DOI: https://doi.org/10.1007/978-981-10-5041-1_16
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