Automatically protecting privacy in consumer generated videos using intended human object detector
Automatically protecting privacy in consumer generated videos using intended human object detector
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DOI：
10.1145/1873951.1874169
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发表时间：
2010-10
期刊：
影响因子：
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通讯作者：
Yuta Nakashima;N. Babaguchi;Jianping Fan
中科院分区：
文献类型：
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作者：
Yuta Nakashima;N. Babaguchi;Jianping Fan
YouTube 等视频共享服务的日益普及使我们能够轻松上传和共享消费者生成的视频 (CGV)，从而导致个人隐私敏感信息 (PSI) 的泄露，即他们的外表。因此，我们需要一种自动保护CGV隐私的技术；然而，主要问题是如何自动确定PSI区域。在本文中，我们提出了一种自动保护 CGV 隐私的新颖系统。所提出的系统通过使用预期人体检测器来解决确定PSI区域的问题，该检测器检测摄像人员想要捕捉的人体物体以实现他/她的捕捉意图。此外，所提出的系统采用了多种 PSI 模糊方法，例如遮挡、模糊和接缝雕刻。我们展示了对隐私保护视频的视觉质量和 PSI 披露的可接受性以及预期人体检测器的性能进行主观评估的结果。
The growing popularity of video sharing services such as YouTube enables us to upload and share consumer generated videos (CGVs) easily, resulting in disclosure of the privacy sensitive information (PSI) of persons, i.e., their appearances. Therefore, we need a technique for automatically protecting the privacy in CGVs; however, the main problem is how to determine PSI regions automatically. In this paper, we propose a novel system for automatically protecting the privacy in CGVs. The proposed system tackles the problem of determining PSI regions by using an intended human object detector that detects human objects which the camera person wanted to capture to achieve his/her capture intention. In addition, the proposed system adopts several PSI obscuring methods such as blocking out, blurring and seam carving. We present the results of subjective evaluations of a privacy protected video in terms of the visual quality and acceptability of PSI disclosure, as well as the performance of the intended human object detector.