基于AIGC的图像艺术创作采集系统设计  

Design of the Image Art Creation and Acquisition System Based on AIGC

作　　者：陆盈嘉 LU Yingjia(ZheJiang Media Group,Hangzhou 310005,China)

机构地区：[1]浙江广播电视集团,浙江杭州310000

出　　处：《电视技术》2024年第11期96-98,104,共4页Video Engineering

摘　　要：提出一种基于人工智能生成内容(Artificial Intelligence Generated Content,AIGC)技术的图像艺术创作采集系统,旨在利用先进的人工智能(Artificial Intelligence,AI)算法来捕捉、分析和转化图像内容,进而生成具有艺术价值的新图像。该系统的核心组成包括数据采集、预处理、特征提取、风格迁移和结果优化等环节。经过性能测试及用户体验测试,表明该系统在处理大量数据时可保持高效的响应速度和较高的吞吐量,同时展现出卓越的稳定性和可靠性,可为进一步的研究和优化提供坚实的基础。This paper proposes an image art creation and acquisition system based on Artificial Intelligence Generated Content(AIGC)technology,which aims to use advanced Artificial Intelligence(Al)algorithm to capture,analyze and transform image content,and then generate new images with artistic value.The core composition of the system includes the steps of data acquisition,preprocessing,feature extraction,style migration,and result optimization.Through performance testing and user experience testing,the results show that the system maintains an efficient response speed and high throughput when processing large amounts of data,while showing excellent stability and reliability,providing a solid foundation for further research and optimization.

关 键 词：人工智能生成内容(AIGC) 图像艺术 创作采集 系统设计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]