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Target-attribute-relation-based confrontation scene semantic analysis method and device

A relationship and attribute technology, applied in the field of data processing, can solve the problems of poor accuracy of analysis results, consume human resources, increase manpower, etc., and achieve the effect of improving accuracy, accurate semantic information analysis results, and increasing richness

Pending Publication Date: 2022-07-29
TSINGHUA UNIV +1
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Problems solved by technology

[0002] In confrontation scenarios, such as sports competitions or military activities, when it is necessary to determine the status of multiple target objects and the relationship between multiple target objects, the method of manual judgment is usually used, but there are multiple targets in the confrontation scene, in order to Obtaining more accurate judgment results requires more manpower, which consumes a lot of human resources, and it is easy to miss the judgment by using manual judgment, which leads to poor accuracy of the analysis results of the confrontation scene

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  • Target-attribute-relation-based confrontation scene semantic analysis method and device
  • Target-attribute-relation-based confrontation scene semantic analysis method and device
  • Target-attribute-relation-based confrontation scene semantic analysis method and device

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Embodiment Construction

[0063] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work, all belong to the scope of protection of this application.

[0064] In confrontation scenarios such as sports or military activities, there are usually multiple targets. The targets can be objects used by people or activities. Due to the large number of targets, the relationship between targets is also very complicated. For example, there is a For many relationships, such as one-to-one confrontation relationship, team cooperation relationship, team cooperation against other teams, etc., it takes a lot of h...

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Abstract

The invention provides an adversarial scene semantic analysis method and device based on a target-attribute-relation, and belongs to the field of data processing. The method comprises the steps of preprocessing obtained initial data of a to-be-analyzed confrontation scene to obtain triple data marked in a graph data structure, and inputting the triple data into a pre-trained analysis model to determine a semantic information analysis result of the to-be-analyzed confrontation scene; the analysis model comprises a plurality of operator networks with execution priorities, and the operator networks are respectively used for analyzing different types of relationships; the processing result of any operator network comprises respective real relationships of all the node pairs and confidence coefficients and description values of the real relationships in the relationship type corresponding to the operator network; and representing the semantic information analysis result of the to-be-analyzed adversarial scene according to the updated graph data structure of the processing results of all operator networks. The invention aims to improve the accuracy of a confrontation scene analysis result.

Description

technical field [0001] The embodiments of the present application relate to the technical field of data processing, and in particular, to a method and device for semantic analysis of adversarial scenes based on target-attribute-relationship. Background technique [0002] In confrontation scenes, such as sports competitions or military activities, when it is necessary to determine the state of multiple target objects and the relationship between multiple target objects, the method of manual judgment is usually used, but there are multiple targets in the confrontation scene. In order to Obtaining more accurate judgment results requires increased manpower, which consumes a lot of human resources, and it is easy to miss judgments by using manual judgment, resulting in poor accuracy of the obtained analysis results of adversarial scenarios. SUMMARY OF THE INVENTION [0003] Embodiments of the present application provide a target-attribute-relation-based adversarial scene semant...

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Application Information

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IPC IPC(8): G06F40/30G06N3/08
CPCG06F40/30G06N3/08G06N3/045G06N3/042G06N3/0895G06N3/048G06N5/022G06N7/01
Inventor 段一平陶晓明李明哲赵梓淇
Owner TSINGHUA UNIV