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Video cameras have been widely deployed for surveillance and smart city. But the authenticity of a video scene faces a great challenge due to the ease of tampering with video data without leaving visible traces. Unfortunately, existing authentication schemes are not efficient for emerging high-resolution videos. In this article, we propose stateful correlation coefficient sampling-based hash (Stateful-CCSH), which adopts correlation coefficient sampling in image hash and learns from previous frames to sample those blocks with more dynamic contents and thus, more likely to be tampered in a video forgery. To decrease the impact of false detection introduced by compression and sampling, we also propose a group smoothing-based authentication scheme. The experimental results show that Stateful-CCSH not only achieves excellent performance in forgery detection, particularly, the detection of moving object removal …