CineScale2:电影中的电影摄像机特征的数据集
Mattia Savardi1, András Bálint Kovács2, Alberto Signoroni1
1Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health - University of Brescia, Brescia, Italy.
Data in brief
|October 12, 2023
概括
这项研究介绍了CineScale2,这是一个由25,000个电影组成的数据库,对相机角度和水平进行注释. 这个资源帮助人工智能分析电影元素,用于电影风格分析和媒体心理学等任务.
科学领域:
- 计算机视觉 计算机视觉
- 电影研究 电影研究
- 人工智能的人工智能
背景情况:
- 摄像头的角度和水平是影响观众感知的关键电影元素.
- 像Cinescale这样的现有数据集专注于镜头尺度,在详细的相机功能注释中留下了一个空白.
研究的目的:
- 引入CineScale2数据库,扩展Cinescale,提供全面的相机角度和水平注释.
- 促进人工智能驱动的电影材料分析,用于电影研究,媒体心理学和推系统的研究.
- 为自动摄像机特征识别提供工具,包括卷积神经网络 (CNN) 模型和代码.
主要方法:
- 来自各种电影来源的约25,000个图像的注释.
- 摄像机角度分为五种类型 (顶部,高,中立,低,荷兰).
- 摄像头水平分为六种类型 (天线,眼睛,肩膀,部,膝盖,地面).
主要成果:
- 创建CineScale2数据库,提供详细的摄像头角度和水平注释.
- 开发CNN架构,用于自动识别这些相机特征.
- 数据集,模型和代码的可用性,用于研究目的.
结论:
- CineScale2数据库显著提高了电影内容的自动视觉分析.
- 这个资源支持AI驱动的电影风格分析,视频推和媒体心理学方面的新研究.
- 提供的工具和数据使研究人员能够探索摄像机技术对观众感知的影响.
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