通过人脸年龄信息推断照片拍摄年份，支持多人联合分析。
Photo Dating by Facial Age Aggregation
- 融合人脸识别、年龄估计与职业生涯时间先验的概率框架
- 在160万张电影剧照上验证，多人信息聚合提升准确率
- 适合影视考古、历史图像分析等需要精确年代定位的研究
我们提出一种新型照片年代推断方法，通过图像中人物面部信息估计照片拍摄年份。为此，我们公开发布CSFD-1.6M数据集，包含超过160万张标注人脸，主要来自电影剧照，附有身份和出生年份信息。该数据集首次支持单张图像中多个人物的标注，便于研究多脸信息聚合。我们设计了一种概率框架，综合现代人脸识别模型、年龄估计模型的视觉证据以及基于职业生涯的时间先验，推断照片拍摄年份。实验表明，整合多个面部信息可显著提升性能，在含多名可识别人物的图像上，该方法远超基于场景的强基线模型。
原文摘要 · Abstract (English)
We introduce a novel method for Photo Dating which estimates the year a photograph was taken by leveraging information from the faces of people present in the image. To facilitate this research, we publicly release CSFD-1.6M, a new dataset containing over 1.6 million annotated faces, primarily from movie stills, with identity and birth year annotations. Uniquely, our dataset provides annotations for multiple individuals within a single image, enabling the study of multi-face information aggregation. We propose a probabilistic framework that formally combines visual evidence from modern face recognition and age estimation models, and career-based temporal priors to infer the photo capture year. Our experiments demonstrate that aggregating evidence from multiple faces consistently improves the performance and the approach significantly outperforms strong, scene-based baselines, particularly for images containing several identifiable individuals.
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