Quick Identification of Child Pornography in Digital Videos
Quick Identification of Child Pornography in Digital Videos
复制标题
数字视频中儿童色情内容的快速识别
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
P. Eleuterio
中科院分区：
文献类型：
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作者：
M. Polastro;P. Eleuterio
计算机取证的主要目标是寻找犯罪的数字证据。研究最多的数字犯罪之一是对儿童的性虐待，包括制作、共享和拥有儿童色情文件。 NuDetective 取证工具旨在快速检测犯罪现场的儿童色情文件，它使用图像和视频中的裸体检测等技术。为了自动检测儿童色情视频，开发了一种先前的方法，该方法基于提取和采样每个视频文件的固定数量的帧，与视频持续时间无关。这项工作提出了一种新的自适应采样方法，考虑视频持续时间，目的是提高检测率和/或减少运行时间。进行了多次实验，结果证明这种新方法更适合用于犯罪现场儿童色情视频的自动检测，检测率约为87%，比之前的实验减少了约45%的运行时间。还进行了真实法医案件的实验，证明新方法可以在犯罪现场快速识别此类非法文件。
Computer forensics has the main objective to find digital evidences of crimes. One of the most researched digital crimes is the sexual abuse of children, including the production, sharing and possession of child pornographic files. Aiming to quickly detect files of child pornography at crime scenes, the NuDetective Forensic Tool was previously developed and it uses techniques like nudity detection in images and videos, among others. To automatically detect child pornography videos, a prior approach was developed, based on extraction and sampling a fixed number of frames of each video files, independently of the video duration. This work proposes a new adaptive sampling approach, considering the video duration, with the objective to increase the detection rate and/or reduce the runtime. Several experiments were performed and the results proved that this new approach is more appropriate to be used in the automatic detection of child pornographic videos at crime scenes, with detection rates around 87% and a reduction about 45% of the runtime over previous experiments. An experiment with a real forensic case was also performed and proved that the new approach can be used to quickly identify such illegal files at crime scenes.