高层语义概念 high-level semantic concepts
基于高层语义图像检索 High-level Semantic-Based Image Retrieval
高层语义声音概念 high level audio semantic concept ; HC
局部高层语义特征 regional high level feature
The first relevance feedback algorithm employs user feedback information to build a new query that is closer to user’s high-level semantics.
第一个算法利用用户反馈信息构建更加接近用户高层语义的查询。
参考来源 - 基于内容的三维模型检索关键技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
视频局部高层语义特征描述的是图像帧中的物体。
在基于内容的图像检索基础上，提出了基于高层语义词和颜色词检索。
This paper presents a new image retrieval method based on high-level semantics word and color name.
图像语义的标注需要解决图像高层语义和底层特征间存在的语义鸿沟。
The semantic gap between image semantic and visual features will be solved in image annotation.
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