High-precision clothing image retrieval method and system based on visual attention model

Abstract

The invention provides a high-precision clothing image retrieval method and system based on a visual attention model. The method includes the steps of feature map extraction: for an input image to be retrieved, extracting the feature map composed of floating-point number with the fixed size by using a deep neural network; attention map extraction: for the input image to be retrieved, extracting the attention map by using a neural full-convolution depth network; attention combination: combining the input feature map with the attention map to obtain a attention feature map; feature vector mapping: for the input feature map and the attention feature map, mapping to obtain an image feature vector with the fixed length by using a neural depth network; similar image retrieval. The system includes modules corresponding to each of the steps. The high-precision clothing image retrieval method and system can extract the attention features of the input image by using the visual attention model, and combine with the global features to form the features with multiple perspectives so as to carry out the high-precision image retrieval.

Description

technical field [0001] The present invention relates to a method and system in the field of computer vision and image processing, in particular to a high-precision clothing image retrieval method and system based on a visual attention model. Background technique [0002] In recent years, with the development of e-commerce, clothing retrieval technology has developed rapidly due to its help to online shopping. Existing relatively mature technology is generally based on keyword clothing retrieval, because keywords cannot completely describe the goods, in many cases consumers have no way to accurately retrieve the goods they need only through keywords. In order to solve such problems and provide consumers with more accurate retrieval services, image-based clothing retrieval techniques have been proposed and widely studied. However, clothing image retrieval has always been a challenging problem due to the large variety of clothing and the clothing images themselves often contai...

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Problems solved by technology

[0006] However, the above patents do not actively deal with the interference in clothing images, such as enhancing the features of images based on key point information or attention models, which fail to improve the effect of traditional clothing retrieval methods

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