The Analysis of Key Technology of the Multimedia Data Content Detection System Based on Perceptual Hash

摘要

The content query based on the multimedia database (MMDBMS) by the Perceptual Hash is currently one of the main treatment methods of multimedia database management. According to the characteristics of the image' edge neighborhood grayscale variation and the analysis of the structure of MMDBMS and the hierarchical structure of video data, this paper proposes an image content fast detection algorithm based on the extraction of the most robust features of the standard samples, and design a multimedia data content detection system mode based on Perceptual Hashing. Against the traditional method, the system has two improvements of the matching accuracy and fast query, and the experimental results demonstrated the feasibility of this system.