Application of mobile edge computing combined with convolutional neural network deep learning in image analysis

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Yang, Yong;Ko, Young Chun

通讯作者：

Yang, Yong(yangyong@hncu.edu.cn);Ko, Young Chun(ycko@sehan.ac.kr)

作者机构：

[Yang, Yong] College of Art, Hunan City University, Hunan, Yiyang

413000, China

Department of Education, Graduate School, Sehan University, Chonnam

58447, Korea, Republic of

[Ko, Young Chun] Department of Teaching Profession, Sehan University, Chonnam

通讯机构：

[Yong Yang] C

[Young Chun Ko] D

College of Art, Hunan City University, Yiyang, China<&wdkj&>Department of Education, Graduate School, Sehan University, Chonnam, Korea<&wdkj&>Department of Teaching Profession, Sehan University, Chonnam, Korea

语种：

英文

关键词：

Arts computing;Convolutional neural networks;Deep neural networks;Discriminant analysis;Efficiency;Image analysis;Image classification;Image enhancement;Image recognition;Mobile edge computing;Network architecture;Arts designs;Computing technology;Convolution neural network;Convolutional neural network;Data set;Deep learning;Hierarchical discriminant analysis;Image Aesthetics;Image esthetic classification;Mobile edge computing technology;Convolution

期刊：

International Journal of System Assurance Engineering and Management

ISSN：

0975-6809

年：

2022

卷：

期：

页码：

1186-1195

DOI：

10.1007/s13198-021-01583-0

基金类别：

This research received no external funding.

机构署名：

本校为第一且通讯机构

院系归属：

艺术学院

摘要：

This paper aims to improve the accuracy and efficiency of image aesthetic classification in environmental art design and provide a more professional and convenient method. Based on the Mobile Edge Computing (MEC) and Convolution Neural Network (CNN) Deep Learning (DL) algorithm, the current situation and shortcomings of the existing image aesthetic classification are analyzed. Thereupon, the MEC technology is combined with CNN, and the MEC-based Image Recognition (IR) architecture and parallel Deep CNN-based aesthetic evaluation method are prop...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Application of mobile edge computing combined with convolutional neural network deep learning in image analysis

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问