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An ROI Privacy Protection Scheme for H.264 Video Based on FMO and Chaos

机译:基于FMO和混沌的H.264视频ROI隐私保护方案。

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摘要

With the increase of terrorist and criminal activities, closed circuit television (CCTV) is widely used on many occasions. However, abuse of surveillance video may result in the leakage of personal privacy. To protect the privacy in the video of CCTV, an encryption scheme for region of interest (ROI) of H.264 video based on flexible macroblock ordering (FMO) and chaos is proposed in this paper, where human face regions are selected as an example of ROI. First, the human face regions in the video are detected and extracted. Then, they are mapped into slice groups by using FMO technology in H.264. After that, these regions are encrypted using selective video encryption based on chaos. Experimental results and analysis show that the proposed scheme can effectively protect the private information of H.264 video and, therefore, can strike a good balance among the security, encryption efficiency, and coding performance. It has great potential to be used in the privacy protection of the video of CCTV.
机译:随着恐怖活动和犯罪活动的增加,闭路电视(CCTV)在许多场合被广泛使用。但是,滥用监视视频可能会导致个人隐私泄露。为了保护CCTV视频的隐私,本文提出了一种基于柔性宏块排序(FMO)和混沌的H.264视频感兴趣区域(ROI)加密方案,以人脸区域为例。 ROI。首先,检测并提取视频中的人脸区域。然后,使用H.264中的FMO技术将它们映射到切片组。之后,使用基于混沌的选择性视频加密对这些区域进行加密。实验结果和分析表明,该方案可以有效地保护H.264视频的私有信息,因此可以在安全性,加密效率和编码性能之间取得良好的平衡。它具有很大的潜力可用于CCTV视频的隐私保护。

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