摘要
随着数字媒体产业的快速发展，海量多媒体数据的存储、管理与利用成为亟待解决的问题。本研究旨在设计并实现一种高效、灵活且可扩展的数字媒体资产管理系统，以满足日益增长的媒体资产管理需求。系统采用微服务架构，结合分布式存储技术和元数据管理机制，实现了资源的高效组织与检索。通过引入人工智能技术，如图像识别和自然语言处理，系统能够自动提取媒体内容特征，生成结构化元数据，从而显著提升分类与检索效率。此外，系统还开发了基于用户行为分析的个性化推荐功能，进一步优化用户体验。实验结果表明，该系统在大规模数据处理能力、检索精度及响应速度等方面均表现出色，能够有效支持多场景下的媒体资产管理需求。本研究的主要创新点在于将智能技术深度融入系统设计，实现了从传统手动管理到智能化管理的转变，为数字媒体资产管理提供了新的解决方案。研究成果不仅提升了媒体资源的利用效率，也为相关领域的技术发展提供了有益参考。
关键词：数字媒体资产管理；智能技术；微服务架构；元数据管理；个性化推荐
Abstract
With the rapid development of the digital media industry, the storage, management, and utilization of massive multimedia data have become pressing issues to address. This study aims to design and implement an efficient, flexible, and scalable digital media asset management system to meet the growing demands for media asset management. The system adopts a microservices architecture, integrating distributed storage technology and me tadata management mechanisms to achieve effective organization and retrieval of resources. By incorporating artificial intelligence technologies such as image recognition and natural language processing, the system can automatically extract media content features and generate structured me tadata, significantly enhancing classification and retrieval efficiency. Additionally, a personalized recommendation function based on user behavior analysis has been developed to further optimize the user experience. Experimental results demonstrate that the system performs excellently in large-scale data processing capabilities, retrieval accuracy, and response speed, effectively supporting media asset management needs across multiple scenarios. The primary innovation of this research lies in deeply embedding intelligent technologies into the system design, realizing a transformation from traditional manual management to intelligent management, and providing a new solution for digital media asset management. The research outcomes not only improve the utilization efficiency of media resources but also offer valuable references for technological advancements in related fields.
Keywords：Digital Media Asset Management; Intelligent Technology; Microservice Architecture; me tadata Management; Personalized Recommendation
目 录
摘要 I
Abstract II
一、绪论 1
(一) 数字媒体资产管理的研究背景与意义 1
(二) 国内外研究现状分析 1
(三) 本文研究方法与技术路线 2
二、系统需求分析与设计框架 2
(一) 数字媒体资产管理的需求分析 2
(二) 系统功能模块划分 3
(三) 系统架构设计原则 3
三、核心功能模块的设计与实现 4
(一) 资产存储与管理模块设计 4
(二) 元数据管理与检索机制 4
(三) 用户权限与安全控制策略 5
四、系统测试与性能优化 6
(一) 测试环境与方案设计 6
(二) 功能测试与结果分析 6
(三) 性能优化与改进措施 7
结 论 8
参考文献 9
