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Image processing method, device, mobile terminal and computer-readable storage medium

An image processing and computer program technology, applied in the field of image processing, can solve the problems of high computing pressure, time-consuming, and mobile terminal heating, etc., and achieve the effect of improving service life, avoiding heating phenomenon, and reducing computing pressure.

Active Publication Date: 2021-07-20
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The above-mentioned traditional video processing method needs to use the neural network model to perform scene recognition on each frame of the video. Since the video includes more than 24 frames per second, the time taken by each frame is less than 0.0417s, while the neural network model The scene recognition processing of pictures often takes a lot of time. In order to meet the real-time requirements of the video (complete the scene recognition and picture processing of the picture within less than 0.0417s), it is necessary to increase the running speed of the algorithm, which will make the user watch the video During the process, the calculation pressure of the mobile terminal is high, which causes the mobile terminal to be prone to heating, which will not only affect the service life of the mobile terminal, but also affect the user experience

Method used

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  • Image processing method, device, mobile terminal and computer-readable storage medium
  • Image processing method, device, mobile terminal and computer-readable storage medium
  • Image processing method, device, mobile terminal and computer-readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] A picture processing method provided by Embodiment 1 of the present application is described below, please refer to the attached figure 1, the image processing method provided in Embodiment 1 of the present application includes steps S101-S105:

[0042] In step S101, a reference picture in the set of pictures to be processed and a picture to be processed separated from the reference picture by a preset number of frames are obtained;

[0043] In the embodiment of the present application, the above-mentioned collection of pictures to be processed may be a collection of various picture frames in the preview screen of the mobile terminal after starting the camera or video camera; or, it may be a video stored locally, for example, a TV series downloaded by the user , variety shows, etc.; or, it can also be videos that users watch online through the Internet, such as news programs, cartoons, etc. that users watch online using a video player; Recorded video, here is not limit...

Embodiment 2

[0066] Another image processing method provided by Embodiment 2 of the present application is described below, please refer to the attached image 3 , the image processing method in Embodiment 2 of the present application includes steps S301-S314:

[0067] In step S301, a reference picture in the set of pictures to be processed and a picture to be processed separated from the reference picture by a preset number of frames are obtained;

[0068] In step S302, perform scene detection on the reference picture to obtain a first detection result, and perform scene classification on the reference picture to obtain a first classification result;

[0069] In step S303, according to the above-mentioned first detection result and the above-mentioned first classification result, determine the picture processing mode of the above-mentioned reference picture;

[0070] In the embodiment of the present application, the above steps S301-S303 are the same as the steps S101-S103 in the first e...

Embodiment 3

[0094] Embodiment 3 of the present application provides an image processing device. For the convenience of description, only the parts related to the present application are shown, such as Figure 4 As shown, the image processing device 400 includes:

[0095] A picture acquisition module 401, configured to acquire a reference picture in the set of pictures to be processed, and a picture to be processed separated from the reference picture by a preset number of frames;

[0096] The scene processing module 402 is configured to perform scene detection on the reference picture to obtain a first detection result, and perform scene classification on the reference picture to obtain a first classification result;

[0097] A first mode determination module 403, configured to determine a picture processing mode of the reference picture according to the first detection result and the first classification result;

[0098] The second mode determination module 404 is configured to determin...

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Abstract

The present application provides a picture processing method, device, mobile terminal, and computer-readable storage medium, the method comprising: acquiring a reference picture in a set of pictures to be processed, and a picture to be processed that is separated from the reference picture by a preset number of frames picture; performing scene detection on the reference picture to obtain a first detection result, and performing scene classification on the reference picture to obtain a first classification result; determining the first classification result according to the first detection result and the first classification result the picture processing mode of the reference picture; determine the picture processing mode of the picture to be processed according to the picture processing mode of the reference picture; process the picture to be processed according to the picture processing mode of the picture to be processed. The application can prevent the heating phenomenon of the mobile terminal, and improve the service life of the mobile terminal and user experience.

Description

technical field [0001] The present application belongs to the technical field of image processing, and in particular relates to an image processing method, device, mobile terminal, and computer-readable storage medium. Background technique [0002] At present, people have higher and higher requirements for video quality. Usually, in order to improve the quality of the video, it is necessary to use the trained neural network model to identify the preset target in each frame of the video, such as judging whether each frame contains a human face, animal or food, and then, based on the recognition According to the preset target, the image is processed accordingly. For example, if it is recognized that a frame of the video contains a human face, the image of the frame is whitened and smoothed. [0003] The above-mentioned traditional video processing method needs to use the neural network model to perform scene recognition on each frame of the video. Since the video includes mor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/35G06F18/22G06F18/24
Inventor 张弓
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD