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Online image transmission identification method and system

A recognition method and image technology, applied in the field of image recognition, can solve the problem of low accuracy of recognition results, and achieve the effect of improving the low accuracy and improving the accuracy.

Inactive Publication Date: 2021-10-19
蒋金强
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In view of this, the purpose of this application is to provide an online image transmission recognition method and system to improve the problem of low accuracy of recognition results in existing image recognition technologies

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  • Online image transmission identification method and system

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Embodiment Construction

[0048] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is only a part of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0049] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ord...

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Abstract

The invention provides an online image transmission identification method and system, and relates to the technical field of image identification. In the application, the method comprises the steps: extracting global image feature vectors and local image feature vectors of a to-be-matched online transmission image and a target reference image, and based on the global image feature vectors, determining an interactive image feature vector between the to-be-matched online transmission image and the target reference image; based on the interactive image feature vector between the online transmission image to be matched and the target reference image and the local image feature vectors of the online transmission image to be matched and the target reference image, determining the image similarity between the online transmission image to be matched and the target reference image; and finally, based on the image similarity, determining an image recognition result of the to-be-matched online transmission image and the target reference image. Based on the method, the problem of low accuracy of an identification result in an existing image identification technology can be improved.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular, to a method and system for online image transmission recognition. Background technique [0002] In the process of online image transmission, the identification of online images is particularly important. If an image that does not meet the conditions is identified, it needs to be effectively intercepted. However, the inventors have found through research that the existing image recognition technology has the problem of low accuracy of recognition results. Contents of the invention [0003] In view of this, the purpose of this application is to provide a method and system for online image transmission recognition, so as to improve the problem of low recognition result accuracy in the existing image recognition technology. [0004] In order to achieve the above purpose, the embodiment of the present application adopts the following technical solutions: [0005]...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06F18/24G06F18/25
Inventor 蒋金强王世强吴小兵吴玉芳
Owner 蒋金强
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