Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image recognition method and device, electronic equipment and medium

An image and image recognition technology, applied in the computer field, can solve the problems of low amount of information, insufficient user experience, and no surprise in image recognition results, and achieve the effect of increasing the amount of information and enhancing the technical effect.

Pending Publication Date: 2020-06-09
BEIJING BAIDU NETCOM SCI & TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in some scenarios, after the user uploads a picture of the figure's back for image recognition, all the information obtained is related to the figure's back, which makes the image recognition result contain less information and cannot meet the user's image recognition needs. And the result of image recognition does not have a sense of surprise, and the user experience is insufficient

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image recognition method and device, electronic equipment and medium
  • Image recognition method and device, electronic equipment and medium
  • Image recognition method and device, electronic equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] With the current image recognition technology, when a user uploads a picture of a person's back for image recognition, all information obtained is related to the person's back. Figure 1A It is a schematic diagram of an existing image recognition result, where 100 represents a back view image uploaded by a user, and 101 represents information related to the person's back view.

[0060] Figure 1B It is a schematic flowchart of an image recognition method provided in Embodiment 1 of the present application. This embodiment is applicable to the situation where the user wants to browse the front image corresponding to the sent back image. This method can be applied to the server, and can be executed by the image recognition device configured on the server provided in the embodiment of the application. The device can use software and / or hardware implementation. Such as Figure 1B As shown, the method may include:

[0061] S101. Acquire an image to be recognized sent by a...

Embodiment 2

[0074] Figure 2A It is a schematic flowchart of an image recognition method provided in Embodiment 2 of the present application. This embodiment provides a specific implementation manner for the first embodiment above, such as Figure 2A As shown, the method may include:

[0075] S201. Acquire the image to be recognized sent by the client, and perform image recognition on the image to be recognized, obtain image recognition result information of the image to be recognized, and return the image recognition result information of the image to be recognized to the a client terminal, so that the client terminal displays the image recognition result information of the image to be recognized.

[0076] Wherein, the image to be recognized is recognized through the existing image recognition technology, and the image recognition result information of the image to be recognized is obtained.

[0077] Specifically, after the server obtains the image to be recognized sent by the user, i...

Embodiment 3

[0087] Figure 3A It is a schematic flowchart of an image recognition method provided in Embodiment 3 of the present application. This embodiment is applicable to the situation where the user wants to browse the front image corresponding to the sent back image. This method can be applied to the client, and can be executed by the image recognition device configured on the client provided in the embodiment of the application. The device can use software and / or hardware implementation. Such as Figure 3A As shown, the method may include:

[0088] S301. Send the image to be recognized to the server, so that the server determines a frontal image of the target that matches the image to be recognized based on the image to be recognized.

[0089] Wherein, the client includes, but is not limited to, an APP or a small program installed on a terminal.

[0090] Specifically, the user accesses the upload page of the image to be identified in the client, and sends the image to be identi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an image recognition method and device, electronic equipment and a medium, and relates to the field of image processing. According to the specific implementation scheme, the method comprises the steps of: obtaining a to-be-recognized image sent by a client, and determining whether the to-be-recognized image is a shadow image or not; when it is determined that the to-be-identified image is a shadow image, determining feature information of the to-be-identified image in at least one dimension; and determining a target front image matched with the to-be-identified image according to the feature information, and returning the target front image to the client, so that the client displays the target front image. According to the invention, whether the to-be-identified image sent by the user is the shadow image is determined; and if yes, the feature information of the to-be-identified image in at least one dimension is determined, a target front image matched with theto-be-identified image is determined according to the feature information, and finally the target front image to the client is returned and the target front image is displayed to the user, thereby realizing the technical effects of increasing the information amount of the image identification result and enhancing the user experience.

Description

technical field [0001] The embodiments of the present application relate to computer technology, in particular to image processing technology, and in particular to an image recognition method, device, electronic equipment and media. Background technique [0002] Conventional image search technology is to search for relevant image resources on the Internet by inputting keywords. With the development of technology, the emerging picture recognition technology can enable users to search for other picture resources similar to this picture on the Internet by uploading pictures or inputting the url address of the picture, and at the same time can find related information about this picture. information. [0003] However, in some scenarios, after the user uploads a picture of the figure's back for image recognition, all the information obtained is related to the figure's back, which makes the image recognition result contain less information and cannot meet the user's image recogni...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F16/58G06F16/953G06V10/764
CPCG06F16/5866G06F16/953G06V10/94G06V10/82G06V10/764G06F16/5854G06F16/5838G06F18/24133G06V40/10G06V40/16G06V40/174G06F18/22
Inventor 张苗王群
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More