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Draft interaction based monitoring video visual analysis method

A technology for monitoring video and analysis methods, applied in the field of human-computer interaction, can solve problems such as failure to discover rich semantic structure patterns, failure to provide timely and useful information for decision-making, etc., to achieve the effect of simple sketches

Active Publication Date: 2017-04-26
INST OF SOFTWARE - CHINESE ACAD OF SCI
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  • Application Information

AI Technical Summary

Problems solved by technology

Semantic mining of monitoring systems is to find qualified and frequent subgraph structures from association sketches, which provides a reference for finding event activity rules and event development trends. At present, semantic mining of some monitoring systems cannot find some subgraph structures with rich semantics. Structural patterns, nor can they provide timely and useful information for decision-making

Method used

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  • Draft interaction based monitoring video visual analysis method
  • Draft interaction based monitoring video visual analysis method
  • Draft interaction based monitoring video visual analysis method

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Embodiment Construction

[0075] In order to enable those skilled in the art to better understand the present invention, the method and technology for visual analysis of surveillance video based on sketch interaction provided by the present invention will be further described in detail below in conjunction with the accompanying drawings, but this does not constitute a limitation to the present invention.

[0076] 1. Select the video resources to be processed. In this example, 5 intersections with a duration of about 1 hour at the same time period are selected as objects from the existing surveillance video materials;

[0077] 2. Adopt the method described in the previous step 1 to watch, text mark and sketch mark, and process such as key frame extraction to the video segment;

[0078] 3. Use the method described in the previous step 2 to draw the associated sketch based on the surveillance video, as attached Figure 5 ;

[0079] 4. Use the sketch structure identification algorithm to identify the stru...

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Abstract

The invention discloses a draft interaction based monitoring video visual analysis method. The method comprises the steps of 1) marking a monitoring video and adding characteristic attribute description information for a set target in a target case; and then extracting key frames from the video based on the mark information and building a key frame index; 2) drawing a related draft of the target case; and carrying out related marking on a node connecting line of the related draft and carrying out node information marking around the node of the related draft; 3) identifying the structure of the related draft and calculating a directed and weighed graph of the related draft; 4) carrying out related analysis on the directed and weighed graph, obtaining a key path of the related draft and obtaining a closely related event set of the target case; and 5) calculating the similarity of the related draft sub-graph of the target case, the related draft sub-graph structure and other case related drafts to obtain similar sub-graphs of the related draft sub-graph of the target case. The draft interaction based monitoring video visual analysis method can efficiently describe user intentions and enhance video semantics.

Description

technical field [0001] The invention belongs to the field of human-computer interaction, and in particular relates to a monitoring video visual analysis method based on sketch interaction. Background technique [0002] With the development of digital multimedia technology and network technology, the number of video resources is increasing massively. As an important information transmission medium, video has attracted more and more attention because of its intuitive convenience and rich information content. Video has become an important carrier of information transmission. Video has the characteristics of unstructured, large amount of data, high dimensionality and semantic diversity, which makes the extraction of video information difficult. Due to the lack of intelligent processing mechanism, massive video information increases people's cognitive burden and reduces people's efficiency in acquiring knowledge, mastering rules and making decisions. [0003] Surveillance video...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/34G06K9/46G06K9/62
CPCG06F16/74G06F16/7867G06V10/26G06V10/50G06V10/422G06F18/23G06F18/22
Inventor 马翠霞郑猛王宏安
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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