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- W1569871913 abstract "This paper presents a multi-mode indexing scheme for effective content-based image retrieval. Three types of indices are identified: visual indices for quantifiable visual information, semantic indices for non-quantifiable semantic information, keyword indices for keywords or free text. The underlying index structures are the HG-tree and the signature file. The HG-tree is one of the most promising multidimensional point index structures and the signature file is best known for handling keywords. The multi-mode indexing scheme combines and extends the HG-tree, the signature file, and the hashing technique to support a wide range of user queries in multimedia information systems. Experiments have been carried out on an image repository to demonstrate the effectiveness of the proposed content model and indexing scheme." @default.
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- W1569871913 date "2002-11-27" @default.
- W1569871913 modified "2023-09-22" @default.
- W1569871913 title "Multi-mode indices for effective image retrieval in multimedia systems" @default.
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- W1569871913 doi "https://doi.org/10.1109/mmcs.1998.693634" @default.
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