Interactive art design with deep learning and information fusion technology

Menghan Zhu

doi:10.1117/12.3014595

8 December 2023 Interactive art design with deep learning and information fusion technology

Menghan Zhu

Proceedings Volume 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023); 129430T (2023) https://doi.org/10.1117/12.3014595
Event: International Workshop on Signal Processing and Machine Learning (WSPML 2023), 2023, Hangzhou, ZJ, China

Abstract

Traditional art design is often plagued by shortcomings such as singularity, high technical barriers, and difficulty for audiences to fully understand. Therefore, establishing an interactive art design platform can greatly expand audiences' interest and hobbies in art. In order to popularize art works to audiences who lack professional knowledge as much as possible, multimedia technology is the main tool, as it can fully stimulate the audience's interest through the multidimensional display of sound, figures, and images. Therefore, in order to establish an interactive art design platform based on a multimedia perspective, this article used deep learning and information fusion technology for assistance. Moreover, this article also took a memorial hall as an example to observe the attractiveness of the new platform to tourists by installing a new social platform to count the number of tourists. The results indicated that the number of tourists to the memorial hall after installation increased from approximately 800-1000 to 950-1150, with a significant increase.So this study found that through deep learning and information fusion technology, interactive art design can be assisted, and art display can be carried out in a multidimensional manner.

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

Citation Download Citation

Menghan Zhu "Interactive art design with deep learning and information fusion technology", Proc. SPIE 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023), 129430T (8 December 2023); https://doi.org/10.1117/12.3014595

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