Scene recognition method, scene recognition device and electronic equipment

A scene recognition and scene technology, applied in the field of information processing, can solve the problems of low reliability of recognition results, avoid misidentification problems and improve accuracy

Inactive Publication Date: 2019-10-18
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method only relies on algorithms, so

Method used

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  • Scene recognition method, scene recognition device and electronic equipment
  • Scene recognition method, scene recognition device and electronic equipment
  • Scene recognition method, scene recognition device and electronic equipment

Examples

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example 1

[0044] Example 1: A user uses a camera of a user equipment (User Equipment, UE) to take pictures, and when previewing an interface, the UE performs scene recognition on the preview image. Adjust the shooting parameters of the camera based on the scene recognition result. In this way, when the user clicks the camera button to capture the preview image, based on the adjusted shooting parameters, a picture that best matches the scene style, color, etc. will be taken, with better shooting effect and better user experience.

[0045] Wherein, the preview interface refers to an interface for the UE to enable the camera to preview the image currently to be captured. After the UE starts the camera, the display screen of the UE will display the current preview interface of the camera, so that the user can determine whether the current picture is the picture that the user wants to shoot.

example 2

[0046] Example 2: A user uploads an existing picture to a website, and the website identifies the scene category of the picture. Specifically, the website server identifies the scene category of the picture. Or the user identifies the scene category of the picture through the APP installed in the UE. For example, the user wishes to know the family (such as Rosaceae) and the name (such as Chinese rose) of the plants in the pictures taken by him. The user can upload the picture to a certain website, and the web server of the website can identify the family and name of the plant in the picture.

example 3

[0047] Example 3: The user hopes to find the clothes worn by A in a shopping app. The user can upload a photo of A wearing the clothing to the shopping APP. The application server of the APP completes the identification of the clothing, matches the same clothing from the shopping APP, and recommends it to the user.

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Abstract

The invention discloses a scene recognition method, a scene recognition device and electronic equipment, relates to the technical field of information processing, and can solve the problem of low scene recognition accuracy of an existing scene recognition method. According to the invention, image scene identification is carried out by combining the scene identification algorithm, and the time information, the position information, the weather information, the temperature information and the like of the image, so that the problem of false identification caused by scene identification only basedon the algorithm can be avoided and thus the accuracy of image identification is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of information processing, and in particular, to a scene recognition method, a scene recognition device, and an electronic device. Background technique [0002] At present, artificial intelligence (AI) is used more and more widely. One of the usage scenarios is the scenario of smart object recognition by simulating the neural network of the human brain for analysis and learning. For example, identify the plant variety or category according to the plant picture; or identify the scene (such as snow scene) of the preview picture displayed on the preview interface when taking pictures. [0003] When the existing neural network performs scene recognition, it performs intelligent recognition based on the trained neural network. For example, after the neural network algorithm has been trained with a large number of flower pictures, when previewing the actual flowers, it can classify ac...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/00G06F18/214
Inventor 李真王冬雷张源
Owner HUAWEI TECH CO LTD
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