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This paper presents the AH + -tree, a balanced, tree-based index structure that efficiently supports Content-Based Image Retrieval (CBIR) through similarity queries. The proposed index structure addresses the problems of semantic gap and user subjectivity by considering the high-level semantics of multimedia data during the retrieval process. The AH + -tree provides the same functionality as the Affinity-Hybrid Tree (AH-Tree) but utilizes the high-level semantics in a novel way to eliminate thedoi:10.1109/ism.2011.20 dblp:conf/ism/FleitesCC11 fatcat:nnctum32yzhm5pnmn4dmqyyeiu