在生活日志和流媒体视频中增强隐私的卡通

Eman T. Hassan, Rakibul Hasan, Patrick Shaffer, David J. Crandall, Apu Kapadia
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引用次数: 46

摘要

我们描述了一种对象替换方法,即视频中的隐私敏感对象被取自剪贴画的抽象卡通所取代。我们的方法结合了计算机视觉、深度学习和图像处理技术来检测物体、抽象细节,并将其替换为卡通剪贴画。我们进行了一项用户研究(N=85),以辨别我们的卡通替代技术的效用和有效性。结果表明,我们的对象替换方法保留了视频的语义内容,同时通过模糊对象的细节来提高其隐私性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos
We describe an object replacement approach whereby privacy-sensitive objects in videos are replaced by abstract cartoons taken from clip art. Our approach uses a combination of computer vision, deep learning, and image processing techniques to detect objects, abstract details, and replace them with cartoon clip art. We conducted a user study (N=85) to discern the utility and effectiveness of our cartoon replacement technique. The results suggest that our object replacement approach preserves a video's semantic content while improving its privacy by obscuring details of objects.
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