大数据图片云端管理系统设计与实现
Design and Implementation of Image Cloud Management System Based on Big Data
DOI: 10.12677/SEA.2020.91008,
PDF,
被引量
国家科技经费支持
作者:
鄢田云*, 周雪纯, 李 莘, 江岸苧, 刘真岩, 陈 政, 陈小兰, 刘远通, 唐皓月：成都信息工程大学，四川 成都
关键词:
图片管理；深度学习；Django；TensorFlow；CNN；Image Management； Deep Learning； Django； TensorFlow； CNN
摘要: 由于智能手机的普及和社交网络的发展，用户每天都会往自己的终端添加图片，这些图片日积月累，逐渐变得分散和杂乱，让用户难以管理和利用图片素材。本文利用图像分类、图像检索、网络爬虫、深度学习等前沿技术建立一个基于大数据的图片云端管理系统。系统开发过程中集成了一些开源方便的开发工具，以MySQL作为数据库，采用Django + MVT架构建立基于B/S模式的云端系统，以及利用TensorFlow实现图像特征提取。最终为互联网用户提供一个智能化、安全和体验良好的图片管理平台。
Abstract:
Due to the popularity of smart phones and the development of social networks, users add pictures to their terminals every day. Over time, these pictures gradually become scattered and disorderly, making it difficult for users to manage and use pictures. In this paper, image classification, image retrieval, web crawlers, deep learning and other cutting-edge technologies were used to establish a cloud-based image management system based on big data. Some open source and convenient development tools are integrated in the system development process. MySQL is taken as the database, Django + MVT architecture is adopted to establish a cloud system based on B/S mode, and TensorFlow is used to realize image feature extraction. Finally, it provides an intelligent, safe and well-experienced image management platform for Internet users.
文章引用：鄢田云, 周雪纯, 李莘, 江岸苧, 刘真岩, 陈政, 陈小兰, 刘远通, 唐皓月. 大数据图片云端管理系统设计与实现[J]. 软件工程与应用, 2020, 9(1): 62-71.
https://doi.org/10.12677/SEA.2020.91008
参考文献
|
[1]
|
中国互联网络信息中心. 中国互联网络发展状况统计报告[R]. 中国互联网络信息中心, 2019.
|
|
[2]
|
连锲. 高校图片管理系统设计[J]. 中国管理信息化, 2018, 21(6): 146-147.
|
|
[3]
|
江媛媛. “以图搜图”技术在照片档案管理中的应用研究[J]. 档案与建设, 2018(6): 38-41.
|
|
[4]
|
杜亮熠. 图片社交文化下的互联网产品设计探究——以nice为例[J]. 工业设计, 2018(4): 100-101.
|
|
[5]
|
Abadi, M., Barham, P., Chen, J., Chen, Z.F., Davis, A., Dean, J., et al. (2016) TensorFlow: A System for Large-Scale Machine Learning. Proceedings of the 12th USENIX Conference on Operating Systems Design and Implementation, Savannah, 2-4 November 2016, 265-283.
|
|
[6]
|
郑泽宇, 梁博文, 顾思宇. TensorFlow: 实战Google深度学习框架[M]. 北京: 电子工业出版社, 1988: 15-18.
|
|
[7]
|
Xie, L.X., Hong, R.C., Zhang, B. and Tian, Q. (2015) Image Classification and Retrieval Are ONE. Proceedings of the 5th International Conference on Multimedia Retrieval, Shanghai, 23-26 June 2015, 3-10. [Google Scholar] [CrossRef]
|