Ps22Pdf 关键词 : 语义图像检索 ; 相关反馈 ; 关键字网络 [gap=813]Key words: Semantic Image Retrieval; Relevant Feedback; Keyword Networks
基于16个网页-相关网页
Semantic-based Image Retrieval 基于语义的图像检索 ; 图像语义检索
High-level Semantic-Based Image Retrieval 基于高层语义图像检索
Semantic landscape image retrieval 语义风景图像检索
image semantic retrieval 图像语义检索
Extraction of object in an image is a precondition for semantic image retrieval.
图像目标提取是图像语义抽取及其应用的基础。
Traditional techniques of CBIR try to retrieve images through analyzing the similarity of image visual features, but CBIR cannot meet the requirements of semantic image retrieval.
传统CBIR技术试图通过分析图像视觉特征的相似性来检索图像，这不能满足普通人按语义检索图像的需求。
A novel automatic image annotation approach is proposed to bridge the semantic gap of content-based image retrieval.
针对图像检索中的语义鸿沟问题，提出了一种新颖的自动图像标注方法。
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