RETRACTION: Design of street art image retrieval system based on virtual simulation technology for the public health environment (Retraction of January, 2023)

被引:1
|
作者
Li, Zhiyong [1 ]
Hua, Jing [2 ]
机构
[1] Hebei Acad Fine Arts, Plast Arts Sch, Shijiazhuang, Peoples R China
[2] Hebei Acad Fine Arts, Basic Dept, Shijiazhuang, Peoples R China
关键词
deep learning; ResNet34; street art portraits; image retrieval; image classification;
D O I
10.1117/1.JEI.32.6.062506
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Creating a good public health environment can improve the public's environmental health literacy level. Therefore, we propose a street art image retrieval system to address the problems of artists' single creation method and the exhaustion of creative inspiration in the process of creating street art images in a public health environment. The system can retrieve the relevant image categories and cultural backgrounds, according to the street art images to be drawn, which reduces the artists' creation burden and helps the public to better appreciate and understand art. In the image classification module, a ResNet34 street art image classification network with a nonlocal attention mechanism is proposed by combining the characteristics of street art images. The experimental results show that the method can achieve accurate classification of art images and can accurately retrieve relevant images based on the input art images, helping artists to better create and improve the public health environment. (c) 2023 SPIE and IS&T
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页数:11
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