基于Faster-R-CNN的公共文化标志的设计及其在城市视觉传播中的应用
1Department of Arts Design, Visual Communication Design Major, Dankook University, Yongin-si, Korea.
PeerJ. Computer science
|June 22, 2023
概括
本研究介绍了一种AI框架,用于优化公共文化标志设计. 该系统通过自动化布局调整来增强视觉通信和国际软实力.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 设计研究 设计研究
背景情况:
- 随着经济发展的同时,人们对精神生活的兴趣日益增长,推动了对公共文化内容的需求.
- 公共文化内容是促进国际软实力的关键工具.
- 人工智能的进步使文化标志设计的优化成为可能.
研究的目的:
- 建立公共文化标牌的自动布局优化框架.
- 为了满足文化标志的特定视觉传播要求.
- 利用人工智能提高文化标牌的有效性.
主要方法:
- 使用Faster-R-CNN检测和提取关键海报元素,达到94.6%的平均准确率.
- 采用三部分设计方法来优化布局.
- 专注于确保文化标志设计遵守视觉传播原则.
主要成果:
- 人工智能框架实现了关键视觉元素的平均检测准确率为94.6%.
- 优化的文化标志设计在测试中获得了超过70%的平均满意度.
- 证明了公共文化标牌的视觉传播效率的显著提升.
结论:
- 开发的AI框架为文化标志设计提供了新的见解.
- 自动化布局优化显著提高了公共文化标牌的有效性.
- 该研究强调了人工智能在通过文化传播增强国际软实力的潜力.
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