Abstract
With a rapid increase in the use of personal broadcasting platforms (e.g., YouTube, afreecaTV, and Twitch), infringement of portrait rights has become a serious social problem as most people are unwilling to participate in the broadcasting and are exposed indiscriminately. To alleviate this problem, this paper proposes DeepMask, a real-time face masking system integrating face recognition and face masking technologies using advanced deep neural networks. Our system supports easy, selective masking of people via face registration. Thus, it can reduce the infringement of portrait rights.
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