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Commodity image category forecasting method based on online shopping platform

A product image and prediction method technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as slow computing speed, irrelevant labels, and difficulty in direct use

Inactive Publication Date: 2013-10-09
SHANGHAI JILIAN NETWORK TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For this problem, many product image uploaders will add multiple expressions of the product name as product image tags, but this processing method itself will bring irrelevant tags to specific product retrieval users, and even have misleading label
[0007] (3) Over-optimization behavior caused by commodity image sorting rules
However, for today's commodity image category prediction, due to the large number of categories, the calculation speed is very slow, and it is difficult to use it directly in the application

Method used

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  • Commodity image category forecasting method based on online shopping platform
  • Commodity image category forecasting method based on online shopping platform
  • Commodity image category forecasting method based on online shopping platform

Examples

Experimental program
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Embodiment Construction

[0180] In specific applications, the user can click the upload image button to upload the image that requires category prediction to the server. At this time, the server will analyze the basic information of the image and return information such as the image size and thumbnail to the user. When the user clicks the "Predict" button, the system will automatically analyze the content of the image submitted by the user and predict its category. When the prediction is completed, the system returns the five possible categories of the product image to the user, and provides the user with 8 related categories of similar products for the user to choose.

[0181] When uploading an image of blue sports shoes, the system returns the category predictions of sneakers, canvas shoes, sports shoes, casual shoes and travel shoes, and displays eight product images representing corresponding blue and white sports shoes. As attached Figure 5 Shown.

[0182] When uploading an image of a white bicycle...

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Abstract

The invention belongs to the technical field of multimedia information searching, and particularly relates to a commodity image category forecasting method based on an online shopping platform. The commodity image category forecasting method mainly involves six modules and comprises corresponding algorithms, namely training image obtaining, image characteristic extracting, irrelevant image filtering, image characteristic training, multilevel image classifying and relevant image selecting. According to the commodity image category forecasting method, based on real data obtained from the online shopping platform, commodity category information in images can be automatically analyzed through large-scale data training, shopping guide can be provided for a user, and therefore online shopping procedures can be simplified for the user, user experience is enhanced, and the commodity image category forecasting method has broad application value in the field of image searching.

Description

technical field [0001] The invention belongs to the technical field of multimedia information retrieval, and in particular relates to a method for predicting commodity image categories. Background technique [0002] In the field of Internet online shopping, digital image information has an irreplaceable position of text information. Especially in applications such as consumer to consumer (Consumer to Consumer, C2C) and business to customer (Business to Customer, B2C), consumers have an urgent need to see the real appearance of commodities. However, compared with text information, the storage and transmission of digital image information in the computer takes up and consumes much more resources, which made the use of image information very cautious in the early Internet. Fortunately, with the rapid development of computer technology and Internet technology, the bottleneck that limits the storage and transmission of digital images and even high-quality digital image content o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66G06K9/46
Inventor 张玥杰张溢金城薛向阳
Owner SHANGHAI JILIAN NETWORK TECH CO LTD
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