关键词: 图像标注, 相关反馈, 语义连接网络, 词义相关度

Abstract: A focal point of recent CBIR research is automatic image annotation according to the relationship between low-level image features and high-level semantic concepts.An image retrieval framework is introduced，and a novel image annotation method via semantics link network is proposed.By accumulating and learning users’ preferences，image semantics are mined.Thus image annotations are obtained by utilizing the proposed algorithm，and subsequently image semantics and annotations are updated automatically in user interactions.Meanwhile，to work out the mistaken annotation propagation problem，a word-relatedness analysis algorithm is also discussed.The annotation approach proposed is tested on the Corel image database，and promising results are achieved.

Key words: image annotation, relevance feedback, semantic link network, word relatedness