视觉通信在数字动画广告设计中的应用,使用卷积神经网络和大数据
1Department of Arts Design, Visual Communication Design Major, Dankook University, Yongin-si, Korea.
PeerJ. Computer science
|June 22, 2023
概括
本研究介绍了一种多式联络视觉通信系统 (MVCS),可以根据用户的情绪来个性化数字动画广告. 该系统通过动态调整内容和播放来提高用户满意度和广告效率.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 数字动画广告是大数据时代客户参与的强大工具.
- 个性化的视觉沟通增强了用户体验和广告的有效性.
- 现有的系统缺乏对用户情绪和兴趣的动态适应.
研究的目的:
- 为个性化数字广告提出一个多式联络视觉通信系统 (MVCS) 模型.
- 根据用户的情绪和兴趣,自动调整视频内容和播放.
- 通过情感意识的个性化来提高数字广告设计的有效性.
主要方法:
- 开发了一种集成多式联络视频情感分析的MVCS模型.
- 利用卷积神经网络 (CNN) 来进行视觉特征提取.
- 使用循环神经网络 (RNN) 来进行音频和文本特征提取和情绪分析.
- 在大型视频数据集上训练模型.
- 集成视觉,音频和文本功能,用于动态调整视频播放.
主要成果:
- MVCS模型根据用户的情绪和交互行为动态调整视频播放.
- 一项对106名用户的满意度调查显示,92.6%的用户对使用MVCS方法创建的广告感到满意.
- MVCS模型在提高数字广告设计效率方面表现出有效性.
结论:
- 拟议的MVCS模型通过基于用户情绪的内容个性化,有效地增强了数字广告设计.
- 多模式视频情感分析是创建更具吸引力和有效的数字广告的可行方法.
- 系统能够动态地适应用户的情绪,这大大提高了用户的满意度.
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