摘要: 网络视频信息包括视频内容和视频描述信息。鉴于效率问题,网络视频监管主要考虑视频描述信息。结合本体论和成熟的Java字符处理规则,提出基于Ontology的网络视频描述信息抽取方法。建立网络视频领域内的本体模型,自定义启发式抽取规则,并应用Java编程将该方法应用于某部委国家级视频监管项目中。实验结果表明,该方法在抽取的准确率和覆盖率上取得了较好的效果。
关键词:
Ontology模型,
网络视频监管,
Web信息抽取
Abstract: Internet video monitoring is mainly concerned with the textual video information based on the consideration of the efficient problem, although the video content information is very important. In this paper, a regular rule processing regular for the extraction problem based on the ontology theory is formally defined. An ontology model called Ontology Model of Internet Video Domain(IVD-OM) is designed for the video information, and an implementation by using Java program is developed. The proposed approach to a real-world application of a national department is applied. Experimental results show that the proposed approach is effective and can accurately extract the video information from the Web.
Key words:
Ontology model,
Internet video monitoring,
Web information extraction
中图分类号:
宫继兵;唐 杰. 基于Ontology的视频描述信息抽取系统[J]. 计算机工程, 2009, 35(18): 34-36.
GONG Ji-bing; TANG Jie. Ontology-based Video Describing Information Extraction System[J]. Computer Engineering, 2009, 35(18): 34-36.