Application of Computer Vision and Machine Learning Technology in the Development of Museum Cultural and Creative Products

DOI

10.2991/978-94-6463-058-9_164How to use a DOI?

Keywords

Computer Vision; Machine Learning Technology; Museum; Analytic Hierarchy Process

Abstract

The development of digital technology and multimedia technology has been widely used in exhibition, publicity, education and other fields. The purpose of this paper is to study museum cultural and creative products based on computer vision and machine learning technology. Start with the importance of computer technology in the development of museums such as Anhui Province. Research information about museum portals, virtual museums, and touchscreen navigation systems in museum applications. The application of MCACP technology is studied by using literature research method, analytic hierarchy process and field investigation method, and an analytic hierarchy process is established to solve the model, and the application of computer vision and machine learning technology in the development of museum cultural and creative products is evaluated, using historical data Model revisions and assessments of the state of the art in computer vision and machine learning. The experimental results of this paper show that the AHP process improves the efficiency of museum cultural and creative product development by 43%. Finally, through the salience of the development and design of cultural and creative products (CCP) in museums, it systematically explains the influence of computer vision and learning technology on the development of museums. It has practical significance for the development of museum cultural and creative products.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yuebo Yu
PY  - 2022
DA  - 2022/12/27
TI  - Application of Computer Vision and Machine Learning Technology in the Development of Museum Cultural and Creative Products
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 1047
EP  - 1052
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_164
DO  - 10.2991/978-94-6463-058-9_164
ID  - Yu2022
ER  -