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Image content identification method and device, computer equipment and storage medium

A technology of image content and recognition method, which is applied in the direction of computer parts, calculation, character and pattern recognition, etc., can solve the problems of low accuracy and efficiency of image recognition, achieve low loss rate, improve accuracy, and reduce image loss rate effect

Pending Publication Date: 2020-02-07
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] Based on this, it is necessary to provide an efficient and accurate image content recognition method, device, computer equipment and storage medium for the problem of low accuracy and efficiency of image recognition by traditional image recognition technology

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  • Image content identification method and device, computer equipment and storage medium
  • Image content identification method and device, computer equipment and storage medium
  • Image content identification method and device, computer equipment and storage medium

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Embodiment Construction

[0055] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0056] The image content recognition method provided by this application can be applied to such asfigure 1 shown in the application environment. The user inputs the image to be recognized to the terminal 102, and the terminal uploads the image to be recognized to the server 104 in real time, and then the user sends an image recognition command to the server 104 through the terminal 102, and when the server 104 receives the image recognition command, it obtains the image to be recognized According to the coding layer of the trained convolutional self-encoding model, the fea...

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Abstract

The invention relates to the technical field of image detection. The invention provides an image content identification method and a device, computer equipment and a storage medium. The method comprises the steps of training an obtained convolution self-coding model based on the historical images and the image loss rate; carrying out feature extraction processing on the to-be-identified image fromthe perspective of a neural layer; obtaining a compressed image containing features of a preset dimension; the model is obtained on the basis of image loss rate training; therefore, the compressed image output by the model has representativeness; it can be considered that the image can represent an original image; the compressed image is subjected to decoding reconstruction processing to obtain the decoded image, and the model is trained based on the preset image loss rate, so that the loss rate of the output decoded image and the original image is relatively low, the loss rate of the image in the image compression process can be reduced, and the accuracy of subsequent image recognition is improved.

Description

technical field [0001] The present application relates to the technical field of image detection, in particular to an image content recognition method, device, computer equipment and storage medium. Background technique [0002] Image recognition technology is an important field of artificial intelligence. It refers to the technology of object recognition on images to identify targets and objects in various patterns. At present, image recognition technology is becoming more and more mature, and it is widely used in human faces, animals and other objects. [0003] Image recognition schemes often involve feature extraction schemes. However, after the original image is compressed and feature extracted using traditional image recognition technology, the loss rate between the compressed and expanded image and the original image is high, resulting in the accuracy of subsequent image recognition. The rate is low and the efficiency is poor. Contents of the invention [0004] Ba...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/22G06F18/214
Inventor 叶曙峰吴嘉豪刘琼陈泽晖
Owner PING AN TECH (SHENZHEN) CO LTD
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