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- W2050329434 abstract "While existing image retrieval techniques primarily use distance to judge whether two images are similar or not, we propose to introduce an additional rotational correlation test to formulate a combined content similarity detection. We show that, with the same content based image retrieval algorithm, adding rotational correlation to the existing operational process can improve the performance of content based image retrieval significantly, providing a possible solution to the problem that minimum distance in low-level features does not necessarily lead to a content match." @default.
- W2050329434 created "2016-06-24" @default.
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- W2050329434 date "2010-06-01" @default.
- W2050329434 modified "2023-09-23" @default.
- W2050329434 title "A new approach for image retrieval with integrated Euclidean distance and rotational correlation" @default.
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- W2050329434 doi "https://doi.org/10.1109/wcins.2010.5541806" @default.
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