Abstract
In the design of multimedia database system, one of the important issues is how to deal with kansei of human beings. A kansei-oriented image retrieval has been proposed in this paper. Human kansei includes two aspects: common kansei and individual kansei. Our approach also consists of common kansei retrieval and individual kansei retrieval. First, avoiding the dependence on the method of selecting impression words, factor analysis is applied to construct an orthogonal psychological space based on common human kansei. After that, a radial basis function neural network is used for learning and memorizing the common kansei, then automatically evaluates and annotates each image with adjective words in the orthogonal psychological space. Furthermore interactive evolution computation is presented to realize individual kansei retrieval. Last an interesting experimental result is shown.
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© 2001 Springer-Verlag Berlin Heidelberg
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Wang, S., Chen, E., Hu, J., Wang, X. (2001). Kansei-Oriented Image Retrieval. In: Liu, J., Yuen, P.C., Li, Ch., Ng, J., Ishida, T. (eds) Active Media Technology. AMT 2001. Lecture Notes in Computer Science, vol 2252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45336-9_43
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DOI: https://doi.org/10.1007/3-540-45336-9_43
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43035-3
Online ISBN: 978-3-540-45336-9
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