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An image retrieval method based on convolution neural network and dimensionreduction is proposed in this paper. Convolution neural network is used toextract high-level features of images, and to solve the problem that theextracted feature dimensions are too high and have strong correlation,multilinear principal component analysis is used to reduce the dimension offeatures. The features after dimension reduction are binary hash coded for fastimage retrieval. Experiments show that the method proposed in this paper hasbetter retrieval effect than the retrieval method based on principal componentanalysis on the e-commerce image datasets.

Image retrieval method based on CNN and dimension reduction