New Multi-channel Multimedia Data Stream Filter Model
一种支持通道信息关联的多媒体数据流过滤模型

Multimedia data stream is fused with data of different formats, e. g. text, pictures, audio and videos. To filter out sensitive information fast and accurately enough from high-speed multimedia data stream proves a great challenge that has not yet been well tackled. This paper proposed a model for filtering multimedia data stream, and implemented a validation prototype system upon national backbone network. The prototype system uses the intelligent rule base to establish filtering rules to relational data engine mapping mechanism, uses the decision tree strategy to establish the classification model for calculating the similarity to reduce the complexity of calculating the similarity degree of success achieved high-speed multimedia data real-time stream filtering. Experiments show that the model can efectively finish multi-mode filtering and multi-channel filtering in a multimedia data stream environment.