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Image retrieval model training method, image retrieval method and computer equipment

A technology of image retrieval and training methods, applied in the fields of computer vision and image processing, can solve problems such as unbalanced cross-scene image data, achieve the effects of improving recognition accuracy, increasing speed, and reducing negative effects

Active Publication Date: 2019-04-26
SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem solved by the present invention is: how to solve the problem of data imbalance in cross-scene image retrieval

Method used

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  • Image retrieval model training method, image retrieval method and computer equipment
  • Image retrieval model training method, image retrieval method and computer equipment
  • Image retrieval model training method, image retrieval method and computer equipment

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Experimental program
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Embodiment 1

[0048] like figure 1 As shown, the training method of the image retrieval model according to Embodiment 1 of the present invention comprises the following steps:

[0049] Step S10: Obtain a training sample set, the training sample set includes a user shooting scene picture set and a high-definition advertising scene picture set.

[0050]Among them, the pictures in the user-shooting scene picture set are pictures taken by the user themselves, and the pictures in the high-definition advertising scene picture set are high-definition advertising scene pictures in online shopping malls. For example, high-definition advertising scene pictures generally come from e-commerce platforms such as Taobao, Tmall, and Amazon. Most of these photos are high-quality photos with models posing and simple backgrounds, and the number of high-definition advertising scene pictures can reach tens of millions. As a preferred embodiment, the pictures in the user-shooting scene picture set are clothing ...

Embodiment 2

[0085] like image 3 As shown, Embodiment 2 of the present invention also discloses an image retrieval method, which specifically includes the following steps:

[0086] Step S1: Input the image to be retrieved and the image in the image database into the image retrieval model obtained by the training method of Embodiment 1, and output the feature vector to be retrieved corresponding to the image to be retrieved and the image database corresponding to the image retrieval model through the image retrieval model The image in corresponds to the set of image library feature vectors.

[0087] Step S2: performing hash coding on the feature vector to be retrieved and each feature vector in the feature vector set of the image library;

[0088] Step S3: Calculate the Hamming distance value between the feature vector to be retrieved after hash coding and each feature vector in the feature vector set of the image library;

[0089] Step S4: Sort the images in the image database in order ...

Embodiment 3

[0091] like Figure 4 As shown, the computer device according to Embodiment 3 of the present invention includes a computer device including a memory 100, a processor 200 and a training program 300 of an image retrieval model stored in the memory, and the training program of the image retrieval model is implemented when the processor 200 executes Such as the training method of the image retrieval model in the first embodiment.

[0092] Further, the present invention also discloses a storage medium, the storage medium stores a training program of the image retrieval model, and when the training program of the image retrieval model is executed by the processor, the training method of the image retrieval model as in the first embodiment is realized .

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Abstract

The invention discloses an image retrieval model training method, an image retrieval method, a storage medium and computer equipment. The training method comprises the steps of obtaining a training sample set, wherein the training sample set comprises a scene picture set shot by a user and a high-definition advertisement scene picture set; Constructing a feature extraction network and an attributeclassifier; Inputting pictures in the training sample set into a feature extraction network to train the feature extraction network, and outputting a training feature vector set; And inputting the feature vector set into an attribute classifier to train the attribute classifier. The retrieval method comprises the following steps: respectively inputting an image to be retrieved and an image in animage library into an image retrieval model, and respectively outputting a feature vector to be retrieved and an image library feature vector set by the image retrieval model; Calculating a Hamming distance value between the to-be-retrieved feature vector subjected to Hash coding and each feature vector in an image library feature vector set; And sorting the images in the image library according to the sequence of the Hamming distance values from small to large.

Description

technical field [0001] The invention belongs to the technical field of computer vision and image processing, and in particular relates to a training method of an image retrieval model, an image retrieval method, a storage medium, and a computer device. Background technique [0002] With the rapid development of the mobile Internet, the mobile shopping platform has become the most attractive development direction in the field of e-commerce, and the content-based clothing retrieval technology has injected strong development momentum into mobile shopping. Content-based clothing retrieval refers to the use of computer vision and pattern recognition technology to retrieve interested clothing from the clothing database. The retrieval keywords are usually photos of the clothing to be retrieved, and the output is the clothing sorted by relevance in the database. photo. Since the image to be retrieved (photographed by a mobile phone) and the image in the clothing database (usually a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F16/53G06F16/583
CPCG06F18/24G06F18/214Y02D10/00
Inventor 程诚汪浩源王旭光
Owner SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI
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