Aesthetic Research on Intelligent Automation Design Combined with Virtual Reality Under the Background of Green Environmental Protection

DOI

10.2991/978-94-6463-192-0_97How to use a DOI?

Keywords

Virtual technology; Intelligent automation aesthetic design; Image aesthetic evaluation algorithm; Visual saliency; Composition edge information; Artificial intelligence aesthetics

Abstract

In recent years, with the great breakthrough of deep learning technology, the upsurge of artificial intelligence (AI) has been set off and flourished. Virtual reality (VR) technology based on AI has also made great progress. Remote interactive VR technology can effectively reduce carbon emissions and is of great significance to environmental protection. Therefore, this paper studies the aesthetics of VR of AI. AI and VR can help computers build technologies and environments that meet aesthetic needs, and then carry out intelligent and automated aesthetic design. Firstly, the basic situation of image aesthetic evaluation is introduced, including the task model, database and evaluation index of image aesthetic evaluation. Secondly, an image aesthetic evaluation algorithm that integrates visual saliency and compositional edge information is proposed. Finally, the current mainstream algorithm and the proposed algorithm are compared and tested. The experiment results show that the image aesthetic evaluation algorithm combining visual saliency and proposed composition edge information is superior to the current mainstream algorithms regarding the algorithm performance. The results have the reference significance for the aesthetic research of AI virtual technology design.

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  - Xiaotang Sun
AU  - Xiaoqi Liu
PY  - 2023
DA  - 2023/07/04
TI  - Aesthetic Research on Intelligent Automation Design Combined with Virtual Reality Under the Background of Green Environmental Protection
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 757
EP  - 768
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_97
DO  - 10.2991/978-94-6463-192-0_97
ID  - Sun2023
ER  -