Method and system for searching images by images based on deep learning
A deep learning and image technology, applied in the field of image search based on deep learning, can solve problems such as difficult control of high-level features, and achieve the effect of meeting the needs of fast analysis, fast search results, and reducing impact
Active Publication Date: 2015-06-03
武汉众智数字技术有限公司
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The invention relates to the technical field of image searching and provides a method for searching images by images based on deep learning. The method comprises the following steps: calculating image category features, and performing classification feature extraction on input images by using a trained deep convolutional neural network; calculating image coding features, and performing coding feature extraction on the input images by using a trained deep learning automatic coding algorithm; compacting mixed feature codes, integrating the classification features and the image own coding features, and coding the integrated features by a deep learning automatic coding algorithm; calculating image similarity according to the features, and ranking and outputting the image similarity. According to the method disclosed by the invention, advanced features are generated by the deep convolutional neural network, so the similarity of the results of searching images by images in image category is guaranteed; low-level image coding features are generated by using the automatic coding algorithm, so the similarity of the images in content is guaranteed; according to the mixed own coding feature method, the classification features and the image own coding features are further fused, so that the dimensionality is reduced, and the search result is carried out more quickly and more stably.
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