Semantic analysis method for map migration

A semantic analysis, picture technology, applied in the field of semantic analysis, can solve problems such as relying on audio quality

Active Publication Date: 2020-04-07
TROY INFORMATION TECHNOLOGY CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0012] But this method relies on audio quality, for example, sports

Method used

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  • Semantic analysis method for map migration
  • Semantic analysis method for map migration
  • Semantic analysis method for map migration

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Embodiment Construction

[0052] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0053] Specific examples figure 1 As shown, a semantic analysis method for graph migration includes the following steps:

[0054] Scene graph extraction, using the text description of a single frame image to generate a scene graph model;

[0055] Spatial map extraction, using a single frame image to generate a spatial map model;

[0056] Model training prediction, train the neural network through the input image and output text, and make predictions on the test set;

[0057] The model training predictions are trained through a graph convolutional network and a long short-term memory network.

[0058] Further, the extraction of the scene graph includes the following steps:

[0059] S11: Perform dependency syntax analysis on the text des...

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Abstract

The invention discloses a semantic analysis method for graph migration, which comprises the following steps of: extracting a scene graph, and generating a scene graph model by utilizing single-frame picture text description; extracting a space diagram, and generating a space diagram model by utilizing the single-frame picture; model training prediction: training a neural network through an input graph and an output text, and predicting a test set; wherein the model training prediction is trained through a graph convolution network and a long-term and short-term memory network. The method can adapt to changes of objects in the video in space and behaviors, and correct description can be made.

Description

technical field [0001] The invention relates to the field of semantic analysis methods, in particular to a semantic analysis method for graph migration. Background technique [0002] With the rapid development of communication technology and Internet technology, more and more information floods people's lives, and the carrier of information has gradually changed from traditional text to pictures and videos with richer content. But more new information also hides hidden dangers. Violence, pornography, etc. are also mixed in and affect the study and life of people, especially young people; Difficult to understand its main message. Therefore, with efficient and accurate semantic understanding and analysis methods, not only tasks such as video classification, retrieval, and abstract generation can be supported, but also bad hidden dangers on the network can be eliminated, and thoughtful services can be provided at the same time. [0003] Semantic understanding and analysis, cu...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/72
CPCG06V30/274G06F18/214
Inventor 周正斌陆文斌张应福王波王耀花福军
Owner TROY INFORMATION TECHNOLOGY CO LTD
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