摘要
多媒体数据流包含多种数据形态(文本、图片、音视频)和多种通道信息(地址信息、链接信息、时间和会话信息等)。多媒体数据流通道之间具有一定的内容相关性。以往对多媒体过滤的相关工作局限于单一的数据模态,不支持不同模态信息的融合过滤和不同数据通道间的关联过滤。提出了一个新的支持多模态融合过滤和多通道联合过滤的多媒体数据流过滤模型(简称为MCFMS模型)。在真实多媒体数据流上的实验结果证明,在复杂数据流环境下,MCFMS模型可以有效地进行多模态融合过滤和多通道联合过滤。
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.
出处
《计算机科学》
CSCD
北大核心
2010年第12期22-25,46,共5页
Computer Science
基金
国家重点基础研究发展计划资助973项目(2007CB311100)资助
关键词
多媒体数据流
过滤规则
多通道
Multimedia data stream
Filtering rule
Multi-channel
