计算机科学 ›› 2010, Vol. 37 ›› Issue (12): 22-25.

• 计算机网络与信息安全 • 上一篇    下一篇

一种支持通道信息关联的多媒体数据流过滤模型

李军,廖豪,陈洁,谭建龙   

  1. (北京邮电大学计算机学院 北京100876);(中国科学院计算技术研究所 北京100190);(中国科学院研究生院 北京100049)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家重点基础研究发展计划资助973项目(2007CB311100)资助。

New Multi-channel Multimedia Data Stream Filter Model

LI Jun,LIAO Hao,CHEN Jie,TAN Jian-long   

  • Online:2018-12-01 Published:2018-12-01

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。

关键词: 多媒体数据流,过滤规则,多通道

Abstract: 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.

Key words: Multimedia data stream,Filtering rule,Multi-channel

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