Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

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1.60

CiteScore

Hongxia Sun1 and Xiong Wang This email address is being protected from spambots. You need JavaScript enabled to view it.1

1Luxun Academy of Fine Art, Dalian, 116000 China


 

Received: July 12, 2022
Accepted: August 11, 2022
Publication Date: August 23, 2022

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202305_26(5).0015  


ABSTRACT


In the era of new technology, with the development of interactive application technology in museum exhibition design, the development of emotional demand for visiting experience has also received increasing attention. Emotional demand design is realized by means of image emotional semantic analysis and retrieval technology, combined with virtual reality technology and practice research of artificial intelligence technology of the exhibition design, which provides a new direction for the digital development of exhibition design field. Through the analysis of the development of museum technology and the demand for emotional value, the necessity of the current image emotional semantic analysis for museum construction and the feasibility of the application of image emotional semantic analysis are clarified, and the image semantic analysis strategy and the application method of museum image emotional semantic analysis are proposed. It provides a method to realize the exhibition effect of the integration of space and emotional experience, Scenarios blending, things blending with self, and emotion going along with reason, and to adapt to the new requirements of the development of the times. Finally, we make related experiments to show the effectiveness of the image emotion semantics.


Keywords: image emotional semantic analysis; museum exhibition; retrieval technology; redesign


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