Smart Album Management System Based on SE-ResNeXt

Authors

  • Zhendong Feng School of Mathematics and Computer Science, Guangdong Ocean University, China
  • Wei Liu School of Mathematics and Computer Science, Guangdong Ocean University, China
  • Yinghuai Yu School of Mathematics and Computer Science, Guangdong Ocean University, China

DOI:

https://doi.org/10.13052/jicts2245-800X.1044

Keywords:

Cloud album management system, intelligent classification, face recognition, cloud storage, SE-ResNeXt

Abstract

With the rapid popularization and development of smart phones and other technological devices, pictures have become the main media for people to record information. However, the traditional mobile photo album has many problems. First of all, with the development of the times, the higher the pixel of the image, the larger the memory required. Obviously, the traditional file storage structure can no longer meet the storage of users’ massive photos. Secondly, people store a large number of face images in mobile phones, so there is a strong demand for face recognition and classification management based on different faces. Third, in the face of the management of massive photos, general image recognition and classification is also a very demanding function. In response to the call of “deeply implementing the digital economy strategy” in today’s era, our team makes full use of the functions of the cloud platform and a large number of industrial resources, and integrates independent optimization algorithms to develop an intelligent cloud album management system that realizes intellectualization and application innovation. SE-ResNeXt algorithm is the core algorithm of this system, which can recognize and extract effective information from massive images in various application scenarios, and help users to intelligently and automatically classify and manage images according to different contents. This paper deeply studies the Intelligent Cloud album management system based on SE-ResNeXt. The system is built by nginx+uwsgi+django+vue as a whole. It has the functions of intelligent classification, face recognition, cloud storage and so on. It aims to provide users with simpler, more intimate and more intelligent album management services.

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Author Biographies

Zhendong Feng, School of Mathematics and Computer Science, Guangdong Ocean University, China

Zhendong Feng majored in information management and information system in the School of Mathematics and Computer Science of Guangdong Ocean University. He is the core technician of the university’s scientific and technological innovation team, mainly engaged in algorithm research in the field of artificial intelligence and information security. He participated in many scientific and technological innovation and entrepreneurship projects with the team, and led the team to participate in discipline competitions for many times. It has rich project practice experience and outstanding scientific research achievements in the direction of computer vision.

Wei Liu, School of Mathematics and Computer Science, Guangdong Ocean University, China

Wei Liu majored in software engineering at Guangdong Ocean University. He undertook a national level project of the Innovation and Entrepreneurship Training Plan for Chinese College Students, which is mainly dedicated to building a prediction system for sudden infectious diseases in 2022. He has some research experience in the direction of sudden infectious disease prediction, and has undertaken relevant solutions. He is currently committed to using artificial intelligence to help people make better decisions and efficient solutions in the face of diseases.

Yinghuai Yu, School of Mathematics and Computer Science, Guangdong Ocean University, China

Yinghuai Yu Master of Guizhou University Associate Professor of Guangdong Ocean University, member of Zhanjiang Computer Society, with profound research in the field of computer vision. He has published several academic papers in related fields and has served as a technical consultant for several projects. Has excellent experience in project guidance.

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Published

2022-12-02

How to Cite

Feng, Z. ., Liu, W. ., & Yu, Y. . (2022). Smart Album Management System Based on SE-ResNeXt. Journal of ICT Standardization, 10(04), 563–582. https://doi.org/10.13052/jicts2245-800X.1044

Issue

2022: Vol 10 Iss 4

Section

Intelligent System Concepts, architecture, standards, tools and applications