Semantic content-based image retrieval: A comprehensive study.

Journal of Visual Communication and Image Representation（2015）

引用 255|浏览112

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摘要

•A comprehensive survey on content-based image retrieval (CBIR) is introduced.•Important challenges of CBIR are discussed, e.g. semantic gap and curse of dimensionality.•Recent achievements chiefly in the context of deep learning and automatic tagging are explained.•New research trends and future insights into the CBIR domain are highlighted.

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关键词

CBIR,Image features,Dimensionality reduction,Deep learning,Relevance feedback,Image annotation,Visualization,Semantic gap

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