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• W1551164170 abstract "The precision of visual matching and the trade-off between accuracy and time efficiency have long been bottlenecks of image search systems. This work addresses the two problem simultaneously by introducing the coupled Multi-Index (cMI) structure. First, by combining SIFT and color features on the indexing-level, the discriminative power of visual words is greatly enhanced. Second, by reducing the number of inverted entries to be traversed, c-MI brings about significant improvement in time efficiency. Experiments are performed on two widely used benchmark datasets. We demonstrate both state-of-the-art image search accuracy and cut-by-half query time." @default.
• W1551164170 created "2016-06-24" @default.
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• W1551164170 date "2015-07-01" @default.
• W1551164170 modified "2023-09-27" @default.
• W1551164170 title "Coloring image search with coupled multi-index" @default.
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• W1551164170 doi "https://doi.org/10.1109/chinasip.2015.7230378" @default.
• W1551164170 hasPublicationYear "2015" @default.
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