基于多模式匹配的网络视频流识别与分类算法

快速发现网络中的视频流是进行网络视频监督及管理的前提与基础。本文通过分析网络视频流数据包的特征，提出了一种基于多模式匹配思想的网络视频流快速发现与分类算法，该算法利用不同视频流的特征建立匹配机，只需对网络数据包进行一次不完全扫描，就可以判断出数据包中是否含有视频流及类型。实验结果表明，与普通的协议解析方法相比，在满足准确性的前提下，所提算法具有更好的时间性能。

Algorithm of Network Video Stream Recognition and Classification Based on Multi-Pattern Matching

Identifying video stream quickly from the network flow is the foundation and prerequisite of network video surveillance and management. According to the analysis of characteristics of network video streams, a fast recognition and classification algorithm of network video stream based on multiple pattern matching is proposed, which constructs the matching machine with the features of different video streams. The proposed algorithm could determine whether the network packet contains video stream and type only by one incomplete scan. The experimental results show that the proposed algorithm has higher efficiency than traditional protocol analysis method under the requirement of accuracy.