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Model training and scene recognition method and device, equipment and medium

A scene recognition and model training technology, applied in the field of model training and scene recognition, can solve the problem that the scene recognition system cannot accurately process the scene category images, and achieve the effect of improving the accuracy

Pending Publication Date: 2022-01-07
青岛信芯微电子科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides a model training and scene recognition method, device, equipment and medium to solve the problem that the existing scene recognition system cannot accurately process the scene category images that do not belong to the closed image set

Method used

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  • Model training and scene recognition method and device, equipment and medium
  • Model training and scene recognition method and device, equipment and medium
  • Model training and scene recognition method and device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] figure 1 A schematic diagram of the scene recognition model training process provided by some embodiments of the present application, the process includes:

[0042] S101: Acquire any sample image in a sample set; wherein, the sample image corresponds to a scene label, and the scene label is used to identify a first scene category to which the sample image belongs.

[0043] The scene recognition model training method provided in this application is applied to electronic equipment, and the electronic equipment may be a smart device such as a mobile terminal, or a server such as a home brain. Of course, the electronic device may also be a display device such as a TV.

[0044]In order to obtain an accurate scene recognition model, it is necessary to train the original scene recognition model according to each sample image in the pre-acquired sample set. Wherein, any sample image in the sample set is obtained by: determining the collected original image as the sample image...

Embodiment 2

[0124] Taking the execution subject as the display device as an example, the scene recognition model training method provided by this application will be described in detail below through specific embodiments. figure 2 A schematic diagram of a specific scene recognition model training process provided by some embodiments of the present application, the process includes:

[0125] S201: Construct an original scene recognition model.

[0126] S202: Randomly construct class center features for each scene category.

[0127] S203: Acquire any sample image in the sample set.

[0128] Wherein, the sample image corresponds to a scene label, and the scene label is used to identify the first scene category to which the sample image belongs.

[0129] S204: Using the original scene recognition model, determine a scene probability vector corresponding to the sample image and sample features of the sample image.

[0130] Wherein, the scene probability vector includes probability values ​...

Embodiment 3

[0141] The present application also provides a scene recognition method, Figure 4 A schematic diagram of the scene recognition process provided by some embodiments of the present application, the process includes:

[0142] S401: Using a pre-trained scene recognition model, determine image features of an image to be recognized.

[0143] S402: Determine the similarity between the image feature and the target class center feature of each scene category.

[0144] S403: Determine whether each scene category includes the scene category to which the image to be recognized belongs according to each similarity and a similarity threshold.

[0145] S404: If it is determined that each scene category includes the scene category to which the image to be recognized belongs, determine the scene category to which the image to be recognized belongs by using the scene recognition model.

[0146] S405: If it is determined that each scene category does not include the scene category to which th...

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Abstract

The invention discloses a model training and scene recognition method and device, equipment and a medium. Through the original scene recognition model, the scene probability vector corresponding to the input sample image and the sample feature of the sample image can be obtained; and then the original scene recognition model can be trained subsequently based on the scene probability vector, the scene label, the sample feature, the class center feature corresponding to the first scene class, the sample feature and the class center feature corresponding to the second scene class; so that according to the characteristics that the image features of the images in the same scene category approach to the class center features of the scene category and are far away from the class center features of other scene categories, and the scene recognition model obtained through training can be further combined with the feature level of the images; besides, the scene category images which are not included in the closed image set are accurately processed, so that the precision, performance and naturalness of the scene recognition model are improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to a model training and scene recognition method, device, equipment and medium. Background technique [0002] With the development of multimedia technology, people watch more and more types of video images on a daily basis, and the products involved in video content are also becoming more and more abundant. Automatically identifying and classifying image scene information helps machines to better understand images, and helps downstream algorithms develop functions for different scenes. [0003] With the development of neural networks in the field of vision, their performance in image classification tasks has also surpassed most traditional algorithms. However, most neural network-based scene recognition systems are trained and tested in a closed image set, that is, the scene recognition system can only recognize the scene categories contained in the closed im...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/764G06V10/774G06V10/74G06V10/82G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/22G06F18/2415G06F18/214
Inventor 常河河查林白晓楠
Owner 青岛信芯微电子科技股份有限公司