摘要
提出了一种在数字电视和流媒体播出过程中进行实时视频内容识别的算法模型,讨论了该模型的几个性质,同时给出一种融合不同视觉特征模型的视频匹配方法,并针对数字电视TS流进行了算法测试,得到了准确实时的内容检测效果。
In this paper, an algorithm model is proposed for real time video content identification during digital video broadcasting and streaming media playing, and several properties of this model are discussed. A video matching method fusing statistical models of different visual features is proposed too. The algorithm is tested on real time MPEG TS signal, and resuhs show that this method can achieve accurate and real time video content monitoring.
出处
《电视技术》
北大核心
2008年第10期14-16,共3页
Video Engineering
基金
科技部国家科研院所基本科研业务费资助项目
关键词
视频识别
实时检测
特征融合
video identification
real time monitoring
feature fusion
