... 语义视频检索 底层特征 高层语义概念 [gap=1047]Keywords : semantic gas;semantic video retrieval;low-level features;high-level semantic concept ...
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The basic task of shot clustering is to classify shots based on their low-level features.
镜头聚类是视频内容分析的重要途径。
Recently, almost all current approaches rely on distance between low-level features for judging semantic similarity, and then understand the content of image.
目前几乎所有的图像分类方法都依赖于用图像底层特征间的距离来度量图像内容的语义相似度,实现对图像内容的理解。
In content-based image retrieval systems, the inconsistency between image low-level features and the concept of high-level expressed by images lead to system semantic gap problem.
在基于内容的图像检索系统中,图像低层特征和图像所表达高层概念之间的不一致性导致系统出现语义鸿沟问题。
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