This study proposes an image content fast detection algorithm based on the extraction of the most robust features of the standard samples according to the characteristics of the image edge neighborhood grayscale variation. Moreover, a multimedia data content detection system mode based on Perceptual Hash is designed. Against the traditional method, the system has two improvements of the matching accuracy and fast query, and can be applied to multimedia video stream. Experimental results demonstrated the feasibility of this system.