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Video-based event evolution prediction method and system

A technology of event evolution and prediction method, which is applied in the field of video-based event evolution prediction, which can solve problems such as the inability to predict the future development of events, and achieve the effect of realizing active prediction and pre-prevention, improving management and control capabilities, and enriching information dimensions

Pending Publication Date: 2021-10-08
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above problems in the prior art, that is, in order to solve the problem that the existing intelligent video analysis system cannot predict the future development of events, the present invention provides a video-based event evolution prediction method and system

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  • Video-based event evolution prediction method and system
  • Video-based event evolution prediction method and system
  • Video-based event evolution prediction method and system

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Embodiment Construction

[0056] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0057] The first aspect of the present invention provides a video-based event evolution prediction method, which includes the following steps: Step S100, decoding the input video stream to obtain sequence data; caching N frames corresponding to the current moment in a queue Video image; step S200, carry out video structure analysis to N frames of video images; video structure analysis includes after video data is preprocessed, input first information, output second information; step S300, judge each in the second information Whether the degree of confidence of class event is greater than threshold value, if there is the degree of confidence of...

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Abstract

The invention belongs to the technical field of event evolution analysis, particularly relates to a video-based event evolution prediction method and system, and aims to solve the problem that an existing intelligent video analysis system cannot predict future development of an event. The method comprises the following steps: decoding an input video stream to obtain sequence data, and caching N frames of video images corresponding to the current moment in a queue mode; preprocessing the N frames of video images to obtain second information; judging whether the confidence coefficient in the second information is greater than a threshold value or not, and if yes, judging that an event occurs at the current moment; if not, returning to decoding the input video stream; extracting an event corresponding to the current moment, and obtaining the overall characteristics of the current event; associating and combining the current event node with the historical event node, and updating the initial event sub-graph; obtaining a prediction score of each candidate event, and outputting predicted event nodes in a descending order according to score values. According to the invention, prediction of future development of the event can be realized.

Description

technical field [0001] The invention belongs to the technical field of event evolution analysis, and in particular relates to a video-based event evolution prediction method and system. Background technique [0002] Events often do not exist in isolation, and the occurrence and development process (such as transformation, merger, migration, and extinction) of events has certain internal laws. In the field of information, an event is defined as an objective fact that specific people, things, and things interact at a specific time and a specific place, and the event relationship is a logical form of interdependence and correlation between events, such as causal and temporal relationships. Among them, the temporal relationship of events describes the sequence and duration of events, and the causal relationship of events describes the causal connection between events. By forming the timing and causal relationship between events into structured information, it can be used to rea...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06Q10/02G08B21/00
CPCG06Q10/02G08B21/00
Inventor 黄凯奇陈晓棠康运锋张世渝谢元涛
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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