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Intelligent Image Management by Using Object Detection and Metadata Optimization

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(1), pp.15-22
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : October 31, 2024
  • Accepted : December 26, 2024
  • Published : January 31, 2025

O-Hun Gwon 1 Seog-Gyu Kim 2 Jae-Hyun Kim 2

1국립안동대학교
2안동대학교

Accredited

ABSTRACT

In this paper, we propose MetaPics, a web-based image management system that integrates object recognition and metadata extraction. The surge in image data and the resulting increase in management complexity are major challenges, and object recognition and image metadata utilization are emerging as key elements of image data search and management. MetaPics based on object recognition algorithms has improved precision, average precision (mAP), and recall, which are object detection performance within an image. MetaPics is a system with scalability and user-centered design that can be applied to various applications in the field of artificial intelligence and digital content management. It solves the complexity of image data management and provides a user-centered, intuitive user experience. MetaPics enables efficient and systematic management of image data through accurate object recognition and image metadata utilization.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.