摘要： 通过研究基于注释的视频检索和基于内容的视频检索的优缺点以及认知学关于人对视频相似性的理解特征,对新一代基于语义的视频检索进行了探索。以视频数据的一个大类——新闻视频为研究对象,采用层次处理思想和综合利用新闻视频各组成媒质的内容特征及其所表达的丰富语义,设计实现了一个基于语义的新闻视频检索原型系统。实验表明该系统自动化程度高、语义客观、检索灵活。
关键词:
新闻视频检索,
视频分段,
语义提取,
多粒度反馈检索
Abstract: In this paper, a research about new theories of integrated semantic-based video retrieval is presented by exploring merits and defects of note -based or content-based video retrieval and apprehend characteristics about video comparability in cognitive science. A semantic-based video retrieval original system for video news, a main kind of video is designed and realized by applying an idea of multi-layer processing and integrating content features and rich semantic of news video's media components. The system is experimentally proved automatic high, semantic impersonal and retrieval flexible.
中图分类号:
史迎春,王韬,周献中. 基于语义的新闻视频检索研究[J]. , 2004, 30(16): 165-167.
SHI Ying chun, WANG Tao, ZHOU Xianzhong. Research of Semantic-based News Video Retrieval[J]. , 2004, 30(16): 165-167.