为此提出一种概念间关联依赖多标记视频语义概念分类方法。
An inter-concepts association and dependency multilabel video semantic concept classification approach is proposed in this paper.
实验结果表明，该方法在视频语义概念提取的研究中，有较高的准确度、可操作性强。
Experimental result shows that the method can get a better accuracy, well operability and universality in the research of semantic concepts of video.
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。
A hierarchical semantic associative video model was proposed which described video information in hierarchical concept tree, scene network and semantic object net.
当大量的语义概念检测子建立以后，基于这些语义概念的视频检索将是实现面向语义内容的视频检索的有效途径。
When a large number of semantic concept descriptors were build up, semantic concepts based video retrieval would be the effective way to achieve content-oriented video retrieval.
多媒体自动概念标注是在语义层次上进行视频浏览、搜索的关键技术。
Automatically annotating concepts for multimedia is a key to semantic-level video browsing, search and navigation.
多媒体自动概念标注是在语义层次上进行视频浏览、搜索的关键技术。
Automatically annotating concepts for multimedia is a key to semantic-level video browsing, search and navigation.
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