An expert system for automating image and video editing services using AI, cloud and blockchain technologies

https://doi.org/10.55214/2576-8484.v9i7.9185

Authors

  • Nguyen Duc Xuan School of Business Administration, VNU University of Economics and Business, Vietnam National University Hanoi, Vietnam. https://orcid.org/0009-0003-9462-2811
  • Nguyen Ngoc Khang 11 Math 1, Le Quy Don High School for the Gifted, Vung Tau, Vietnam.
  • Pham Van Khanh Institute of Information Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam. https://orcid.org/0000-0002-0227-4254

In the digital age, high-quality visual content plays a critical role in marketing, real estate, and personal branding. However, traditional image and video editing workflows remain manual, fragmented, and time-consuming. This paper proposes an expert system that automates the entire service chain of photo, video, and virtual architectural editing by integrating advanced technologies such as AI, chatbots, cloud computing, and blockchain. The system intelligently analyzes customer requests, assigns tasks to AI modules or human editors, ensures quality control, and securely manages payments through smart contracts. Designed as a cloud-native, microservice-based architecture, the platform is scalable and resilient, offering services through both web and mobile interfaces. Simulation results show a significant reduction in turnaround time, enhanced consistency in output quality, and increased processing capacity. By automating both technical and operational processes, the proposed system aims to transform digital content services into a seamless, efficient, and trusted experience. It has strong potential to attract customers and investors, especially in industries demanding fast, cost-effective, and scalable media solutions.

How to Cite

Xuan, N. D., Khang, N. N., & Khanh, P. V. (2025). An expert system for automating image and video editing services using AI, cloud and blockchain technologies. Edelweiss Applied Science and Technology, 9(7), 2365–2381. https://doi.org/10.55214/2576-8484.v9i7.9185

Downloads

Download data is not yet available.

Dimension Badge

Download

Downloads

Issue

Section

Articles

Published

2025-07-31