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Design of Intelligent Color Matching System for Cultural and Creative Products Based on Data Analysis Algorithm

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Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence (IC 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1044))

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Abstract

In today’s era of rapid development of information, it is necessary to maximize the satisfaction of consumers’ psychological needs in the process of product design. Pleasant color design is the basis for satisfying consumers’ psychological expectations and an essential element of product design. Based on data analysis algorithms, this paper helps to build an intelligent color matching design system for cultural and creative products. It first expounds the research status of data analysis algorithms, then emphasizes the importance of color matching for cultural and creative products, and finally uses big data and artificial intelligence to simulate consumption. Consumers’ perception of color after seeing color in computer science, and help design cultural and creative products that meet consumers’ consumption preferences within a limited time.

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Acknowledgments

This work was financially supported by the key scientific research project of Sanda University ‘Art resources and cultural creative integration design under the empowerment of artificial intelligence’ fund.

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Authors and Affiliations

  1. College of Art Design and Media, Sanda University, Shanghai, China

    Xuan Wan

  2. Dassault Systèmes (Shanghai) I.T. Co., Ltd., Shanghai, China

    Yantao Liang

Authors
  1. Xuan Wan
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  2. Yantao Liang
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Corresponding author

Correspondence to Xuan Wan .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, FIET, Taichung City, Taiwan

    Jason C. Hung

  2. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, FIET, Taichung City, Taiwan

    Jia-Wei Chang

  3. Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Fukushima, Japan

    Yan Pei

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wan, X., Liang, Y. (2023). Design of Intelligent Color Matching System for Cultural and Creative Products Based on Data Analysis Algorithm. In: Hung, J.C., Chang, JW., Pei, Y. (eds) Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence. IC 2023. Lecture Notes in Electrical Engineering, vol 1044. Springer, Singapore. https://doi.org/10.1007/978-981-99-2092-1_83

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  • DOI: https://doi.org/10.1007/978-981-99-2092-1_83

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2091-4

  • Online ISBN: 978-981-99-2092-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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