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• W1569274039 abstract "Different from text-based image retrieval, the content-based image retrieval (CBIR) uses low-level visual features to retrieve images. The question of how to reduce semantic gap between the low level visual features and the high level image semantics is still a difficult problem. This paper uses a comparison-based mechanism based on interactive differential evolution (IDE) to help users retrieve their preferred images in a user-oriented way. The effect of the proposed framework is evaluated, and the performance of the technique is better than that of the relevance feedback (RF) based on feature re-weighting method." @default.
• W1569274039 created "2016-06-24" @default.
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• W1569274039 date "2015-05-01" @default.
• W1569274039 modified "2023-09-27" @default.
• W1569274039 title "Image retrieval based on interactive differential evolution" @default.
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• W1569274039 doi "https://doi.org/10.1109/cec.2015.7257279" @default.
• W1569274039 hasPublicationYear "2015" @default.
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