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

A visual attention and image retrieval technology, applied in the field of computer vision and image processing, can solve the problems of failing to improve the effect of traditional clothing retrieval methods, and achieve the effect of improving accuracy

Active Publication Date: 2017-10-24
上海媒智科技有限公司
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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 o...

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

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[0035] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0036] Such as figure 1 As shown, it is a flowchart of an embodiment of a high-precision clothing image retrieval method based on a visual attention model in the present invention. The method processes the input image into a feature map and an attention map, and uses the attention combination step to combine the attention map with the feature The graphs are combined into an attention feature map, and the feature map and attention feature map are mapped into global features and attention features r...

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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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Application Information

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IPC IPC(8): G06F17/30G06N3/08
CPCG06F16/532G06F16/583G06N3/08
Inventor 张娅王仲豪顾宇俊王延峰
Owner 上海媒智科技有限公司
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