Intelligent environment art design combining big data and artificial intelligence

Qing Guo

doi:10.1117/12.3014588

8 December 2023 Intelligent environment art design combining big data and artificial intelligence

Qing Guo

Proceedings Volume 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023); 129430S (2023) https://doi.org/10.1117/12.3014588
Event: International Workshop on Signal Processing and Machine Learning (WSPML 2023), 2023, Hangzhou, ZJ, China

Abstract

As the Internet grows rapidly and smart devices become more popular, a huge amount of data is being generated and stored. These data have the characteristics of diversity, real-time, and massive, providing more data resources and creative inspiration for art and design. Artificial intelligence (AI) technology allows computers to deal with and analyze large-scale data and extract information and patterns that are useful. As important representatives of technology, the integration of big data (BD) and AI with art can bring new ideas and forms of expression to artistic creation. Intelligent environmental art design has emerged in this context. This paper established an intelligent environmental art model with user satisfaction prediction and design optimization index formula through the research related to the analysis of the important impact of BD and AI on intelligent environmental art design, with the help of the key technology exploration and application process analysis of the two respectively on the intelligent environmental art design. The following conclusion was drawn: six design project samples of different environmental arts were selected through simulation experiments, and the application of intelligent environmental art optimization models improved quality and efficiency compared to traditional methods, with a comprehensive average improvement of approximately 9.5% and 14.4%. This indicates that the intelligent environment art model based on the combination of BD and AI has good results in practical applications.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qing Guo "Intelligent environment art design combining big data and artificial intelligence", Proc. SPIE 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023), 129430S (8 December 2023); https://doi.org/10.1117/12.3014588

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