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Image search method and device

An image search and vector technology, applied in the field of image search, can solve the problems of unreachable search results, instability of recall rate of the same item, etc., to improve the accuracy of feature description, avoid secondary sorting failure, and achieve high feature description accuracy. Effect

Active Publication Date: 2019-12-03
ALIBABA GRP HLDG LTD
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Problems solved by technology

Therefore, the recall rate of the same item based on this search method is unstable, and the ideal search result is also not achieved.

Method used

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  • Image search method and device
  • Image search method and device

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Embodiment Construction

[0030] The implementation of the present application will be described in detail below with reference to the accompanying drawings and examples, so as to fully understand and implement the implementation process of how the present application uses technical means to solve technical problems and achieve technical effects.

[0031] The implementation method of the present application will be further described below with the first embodiment. see figure 1 , this embodiment provides a schematic flowchart of an image search method, the method comprising:

[0032] Step 100, acquiring the commodity body of the image to be searched. It should be noted that the image to be searched in this embodiment of the present application may be an electronic image of any format and any size, and these formats include but are not limited to JPG, PNG, TIF, and BMP. The acquisition method of the image to be searched may be directly downloaded from the Internet, or uploaded by taking pictures with ...

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Abstract

The invention discloses an image search method and apparatus. The image search method comprises the steps of obtaining a target region of interest of a to-be-searched image; extracting a local eigenvector and a deep learning eigenvector of the target region of interest; executing feature dimension reduction processing on the local eigenvector and the deep learning eigenvector by correspondingly utilizing a preset locally-weighted index and a preset depth-weighted index respectively, and performing feature fusion on the local eigenvector subjected to the dimension reduction and the deep learning eigenvector subjected to the dimension reduction by utilizing a preset splicing weighted index, thereby obtaining a target eigenvector which improves the feature description precision of the target region of interest; and performing a search according to the target eigenvector, thereby obtaining a search result based on the to-be-searched image.

Description

technical field [0001] The present application belongs to the field of image search, and in particular relates to an image search method and device. Background technique [0002] With the development of science and technology, images play an important role in e-commerce and information dissemination. Because images can give people the feeling of "what you see is what you get", the way for users to obtain product information has changed from the original text-based search to image-based search. Generally speaking, image search is divided into similar search and same-style search (the so-called same-style search refers to searching for images of products with the same style as those in the image to be searched), and the development of deep learning feature vectors has improved the feature description ability of images , the image similarity search has met the requirements of users, but the existing system is not satisfactory in the search for the same product. Users need to m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/58
CPCG06F16/5866
Inventor 童志军陈宇安山孙佰贵张洪明
Owner ALIBABA GRP HLDG LTD
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