This research is a preliminary study for a professional museum of print ads during the period of Republic of China. We selected 571 pieces of print ads of the Republic of China as sample to analysis the feature of them to make the visitors of museum could more immersive feel the print ads of the Republic of China and experience the unique charm of imagery modeling and visual language. The main methods used in the research are image feature analysis and image feature quantization calculation, we extract and summarize the common elements and culture style feature based on the analysis of multidimensional design elements. The research results could provide effective guidance for the design of the professional museum, including the overall atmosphere of the museum, thematic construction and situation creation.
CITATION STYLE
Wang, D., Liang, N., Zhong, J., & Zhang, L. (2016). Mining and construction of user experience content: An approach of feature analysis based on image. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9748, pp. 223–234). Springer Verlag. https://doi.org/10.1007/978-3-319-40406-6_21
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