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In the digital multimedia era, it is becoming increasingly important to ensure the integrity and authenticity of the enormous amount of the video data. To detect the effect of frame-deletion, which is one of the common and simple forgery methods in video streams, a new approach based on motion-compensated edge artifact is proposed in this paper. It introduces the factor of motion-compensated edge artifact to measure the changes of correlation between adjacent frames, and can locate the break point of frame-deletion in the stream. Experimental results show that our approach achieves promising effect in video forgery detection.