Garbage Mms Retrieval And Blocking Software System Realization

Along with the development of China's mobile communications business, mobile phone multimedia message service has won the favor of majority mobile phone users. Duing to the widely used of MMS services, the increasing of"MMS spam"issues became a serious social hazards. The proliferation of MMS spams has interfered with people's normal life and the regular operation of the communication business market. Effective management of spam messages was of great significance since it concerning to the healthy development of the service industry, the maintenance of people's freedom, and peace of human social life.In this study, we made a clear definition and classification on the multimedia message. In addition, we analysised the three techniques as to the matched blacklists filtering, keywords filtering, images filtering. Based on that, we made a MMS interception system which was content-based in order to intercept the spam MMS. The key point of this system was to extract features and construct the classifier by means of skin-color detection, texture detection and face detectionThis thesis described the basic functions of the interception system. To verify the image filtering effectiveness of our system. we made extensive experiments with 1508 images. The result indicated that the interception system could block the images effectively. The overall interception rate of this system was over 80%.In sum, the system provided an effective way to control MMS spam. It was not only greatly limiting the amount of harassment, deceiving or pornography multimedia messages, but also supplied a safe and reliable communication environment for the phone users.