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Aiming at the problem that the massive video clips may contain content that does not meet the audience's cognition or reception, which brings unpleasant experience to the audience, a cartoon video violence scene detection method based on knowledge base is proposed. Firstly, the continuous function is developed by using low-level features (RBG color, brightness and hue) to recognize the shot boundary in the scene; Then, the motion information is used to calculate the motion in the video frame; Then, the spatial information and motion information are used for segmentation, and the Euclidean distance method is used for object recognition; Finally, the violence probability of the scene is calculated by using the knowledge base containing all common objects, cartoon characters and their visual and behavioral characteristics. The prototype of the method is developed and implemented by MATLAB. The experimental results show that the system can successfully detect the violence scene in cartoon video.