通过使用概率比率方法对源摄像头归因的性能评估
Pasquale Ferrara1, Rudolf Haraksim1, Laurent Beslay1
1Joint Research Centre, European Commission, 21027 Ispra, Italy.
Journal of imaging
|July 31, 2024
概括
这项研究将摄像头归因从难以实现的相似性得分转变为数字取证的可解释的概率比率. 这使得在使用源摄像头归因的法律案件中可以做出更明智的决定.
科学领域:
- 数字法医学数字法医学
- 图像分析 图像分析
- 计算机视觉 计算机视觉
背景情况:
- 目前的源摄像头归因方法依赖于缺乏概率解释的相似度得分.
- 像ROC曲线这样的标准评估指标在法医调查中具有有限的可用性.
- 这阻碍了事实检查人员的知情决策.
研究的目的:
- 为了证明从相似度得分向源摄像头归因的概率比率的过渡.
- 增强数字证据评估的概率解释和法医可用性.
- 将发现纳入现有的法医案例工作中.
主要方法:
- 概率比率是从照片响应不一致性 (PRNU) 源归因相似性得分计算出来的.
- 实验比较了数字图像和视频的不同策略,考虑了它们的独特特征.
- 结果按照验证法医概率方法的指导方针进行格式化.
主要成果:
- 从相似性得分成功过渡到概率概率比率.
- 证明了在数字证据的源相机归因中概率比率的实用性.
- 提供了一个与法医验证标准兼容的框架.
结论:
- 概率比率为源摄像头归因提供了一个更易于解释和概率合理的方法.
- 这一转变显著提高了法医调查中数字证据的价值.
- 拟议的方法支持在法律背景下做出更知情的决策.
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