基于内容的视频分层语义联想模型  

Hierarchical semantic associative video model based on content

作　　者：刘宏哲[1] 鲍泓[1] 须德[2] 

机构地区：[1]北京联合大学信息技术研究所,北京100101 [2]北京交通大学计算机与信息技术学院,北京100044

出　　处：《计算机应用》2005年第8期1797-1800,共4页journal of Computer Applications

基　　金：教育部科学技术研究重点资助项目(2002KJ124)

摘　　要：提出一种视频的分层语义联想模型,构造三个层次的信息:概念层次树,场景网络和语义对象网络。利用概念层次树来适应不同的应用环境,场景网络表示视频的时间信息,而语义对象及其关系用来表示视频镜头的内容,通过分属不同镜头的语义对象的关系来表示镜头间的语义相关度。该模型采用基于时间和语义关系的检索方法,搜索结果是收敛的。A hierarchical semantic associative video model was proposed which described video information in hierarchical concept tree,scene network and semantic object net. The concept tree could be constructed under different applications. Time information of video was represented by scene network. The contents of video shots were represented by semantic objects and their relations, and the semantic correlations between shots were represented by semantic relations among objects which were in different shots.Video can be retrieved by time information and other semantic information,and the results are convergented.

关 键 词：分层语义联想模型 语义网络 视频检索 基于内容检索 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]