CN112528122A - Risk identification method based on image-text and video - Google Patents

Risk identification method based on image-text and video Download PDF

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Publication number
CN112528122A
CN112528122A CN202011418851.XA CN202011418851A CN112528122A CN 112528122 A CN112528122 A CN 112528122A CN 202011418851 A CN202011418851 A CN 202011418851A CN 112528122 A CN112528122 A CN 112528122A
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China
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text
video
risk
image
data
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CN202011418851.XA
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朱昕磊
杜鲁
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Jiangsu Xinhua Beacon Data Technology Co ltd
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Jiangsu Xinhua Beacon Data Technology Co ltd
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Priority to CN202011418851.XA priority Critical patent/CN112528122A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33Querying
    • G06F16/332Query formulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content

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  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Library & Information Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The invention discloses a risk identification method based on pictures, texts and videos, which belongs to the technical field of media fusion and comprises the following steps: the first step is as follows: data acquisition, namely capturing image-text and video contents of a new medium from the Internet, an APP content acquisition device, a WeChat and a microblog according to a set acquisition frequency, and sending the acquired image-text and video contents to a data processing module; the second step is that: comparing the data, namely comparing the image-text and video content acquired in the first step with the pre-stored image-text and video content by using a data processing module, and determining a risk identification result; the third step: risk early warning, wherein if the risk identification result in the second step is larger than a preset threshold value, the image-text and video content are risk early warning data; the fourth step: and the risk feedback is used for feeding back a corresponding solution according to the result of the risk early warning. The method has the advantages of high data acquisition and processing speed, high efficiency and accurate risk identification result.

Description

Risk identification method based on image-text and video
Technical Field
The invention relates to the technical field of media fusion, in particular to a risk identification method based on pictures, texts and videos.
Background
With the increasing expansion of the netizens, the netizens are more and more willing to use new internet media such as micro blogs, forums, blogs and the like, which also causes some netizens to distribute pictures and videos strictly prohibited by the country on various new media to acquire traffic or engage in other illegal operations. How to timely and quickly discover the forbidden pictures and videos and to kill the account numbers of the netizens or to perform related punishment on the netizens so as to prevent the netizens from escaping corresponding punishment is a problem which needs to be solved urgently at present by a new medium.
Disclosure of Invention
The invention aims to provide a risk identification method based on pictures, texts and videos, which can be used for effectively guiding the healthy development of a new medium by effectively monitoring pictures and videos published on the new medium in time through big data and a new medium supervisor and finding out illegal pictures and videos in the pictures and videos.
In order to achieve the purpose, the invention adopts the following technical scheme:
the risk identification method based on the image-text and the video comprises the following steps:
the first step is as follows: data acquisition, namely capturing image-text and video contents of a new medium from the Internet, an APP content acquisition device, a WeChat and a microblog according to a set acquisition frequency, and sending the acquired image-text and video contents to a data processing module;
the second step is that: comparing the data, namely comparing the image-text and video content acquired in the first step with the pre-stored image-text and video content by using a data processing module, and determining a risk identification result;
the third step: risk early warning, wherein if the risk identification result in the second step is larger than a preset threshold value, the image-text and video content are risk early warning data;
the fourth step: and the risk feedback is used for feeding back a corresponding solution according to the result of the risk early warning.
Further, in the second step, the data comparison further includes human eye recognition.
Furthermore, in the second step, firstly, the image-text and video content collected in the first step are compared with the pre-stored image-text and video content through the data processing module, and then the comparison is recognized through human eyes.
Further, in the third step, the preset threshold is determined according to the existing image-text and video information.
Further, in the fourth step, the solution of risk feedback is to allow or prohibit the release of the teletext and video content of the new media.
The invention also provides a system of the risk identification method based on the image-text and the video, which comprises a data acquisition module, a data processing module, an early warning information output module and a risk feedback module; the data acquisition module captures image-text and video contents of new media from the Internet, an APP content acquisition device, WeChat and microblog according to set acquisition frequency, and sends the acquired image-text and video contents to the data processing module; the data processing module is used for processing the data sent by the data acquisition module and sending a processing result to the early warning information output module, the early warning information output module sends early warning information to the risk feedback module, and the risk feedback module sends a feedback solution to a user.
The invention has the technical effects and advantages that:
1. the method comprises the steps of acquiring new media contents captured from the Internet, an APP content acquisition device, a WeChat and a microblog through an acquisition module; the data processing module compares the acquired image-text and video content with the pre-stored image-text and video content, determines a risk identification result, and then sends the risk result to a user.
2. The risk identification result is determined by a human eye identification method, so that the situation that the data processing module cannot identify the picture and video information acquired by the acquisition module is avoided, and the risk identification method has the advantage of accurate risk identification result.
Drawings
FIG. 1 is a flow chart of the risk identification method based on graphics and text and video of the invention;
fig. 2 is a system hardware module diagram of the risk identification method based on graphics and text and video.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1, the risk identification method based on graphics, text and video of the present invention includes the following steps:
the first step is as follows: data acquisition, namely capturing image-text and video contents of a new medium from the Internet, an APP content acquisition device, a WeChat and a microblog according to a set acquisition frequency, and sending the acquired image-text and video contents to a data processing module;
the second step is that: comparing the data, namely comparing the image-text and video content acquired in the first step with the pre-stored image-text and video content by using a data processing module, and determining a risk identification result;
the third step: risk early warning, wherein if the risk identification result in the second step is larger than a preset threshold value, the image-text and video content are risk early warning data;
the fourth step: and the risk feedback is used for feeding back a corresponding solution according to the result of the risk early warning.
In order to accurately identify the risk identification result, in the second step, the data comparison further comprises human eye identification.
In order to improve the data processing efficiency, in the second step, firstly, the image-text and video contents acquired in the first step are compared with the pre-stored image-text and video contents through the data processing module, and then the image-text and video contents are identified through human eyes.
Preferably, in the third step, the preset threshold is determined according to the existing image-text and video information.
In order to improve the efficiency of solving the problem, in the fourth step, the solution of risk feedback is to allow or prohibit the release of the graphics and text and video contents of the new media.
As shown in fig. 2, the present invention also provides a system of a risk identification method based on graphics and video, which includes a data acquisition module, a data processing module, an early warning information output module and a risk feedback module; the data acquisition module captures image-text and video contents of new media from the Internet, an APP content acquisition device, WeChat and microblog according to set acquisition frequency, and sends the acquired image-text and video contents to the data processing module; the data processing module is used for processing the data sent by the data acquisition module and sending a processing result to the early warning information output module, the early warning information output module sends early warning information to the risk feedback module, and the risk feedback module sends a feedback solution to a user.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be a direct connection, and "upper," "lower," "left," and "right" are only used to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed;
secondly, the method comprises the following steps: in the drawings of the disclosed embodiments of the invention, only the structures related to the disclosed embodiments are referred to, other structures can refer to common designs, and the same embodiment and different embodiments of the invention can be combined with each other without conflict;
and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.

Claims (6)

1. The risk identification method based on the image-text and the video is characterized by comprising the following steps: the method comprises the following steps:
the first step is as follows: data acquisition, namely capturing image-text and video contents of a new medium from the Internet, an APP content acquisition device, a WeChat and a microblog according to a set acquisition frequency, and sending the acquired image-text and video contents to a data processing module;
the second step is that: comparing the data, namely comparing the image-text and video content acquired in the first step with the pre-stored image-text and video content by using a data processing module, and determining a risk identification result;
the third step: risk early warning, wherein if the risk identification result in the second step is larger than a preset threshold value, the image-text and video content are risk early warning data;
the fourth step: and the risk feedback is used for feeding back a corresponding solution according to the result of the risk early warning.
2. The method for identifying risks based on teletext and video according to claim 1, wherein in the second step the data comparison further comprises human eye recognition.
3. The method for identifying risks based on pictures, texts and videos as claimed in claim 2, wherein in the second step, the pictures, texts and video contents acquired in the first step are compared with the pre-stored pictures, texts and video contents through the data processing module, and then are identified through human eyes.
4. The method of claim 1, wherein the risk identification method based on graphics and video is as follows: and in the third step, the preset threshold value is determined according to the existing image-text and video information.
5. The method of claim 1, wherein the risk identification method based on graphics and video is as follows: in the fourth step, the solution of risk feedback is to allow the release of the graphics and text and video contents of the new media or prohibit the release of the graphics and text and video contents of the new media.
6. A system for implementing the method for identifying risks based on graphics and video according to claim 1, characterized in that: the system comprises a data acquisition module, a data processing module, an early warning information output module and a risk feedback module; the data acquisition module captures image-text and video contents of new media from the Internet, an APP content acquisition device, WeChat and microblog according to set acquisition frequency, and sends the acquired image-text and video contents to the data processing module; the data processing module is used for processing the data sent by the data acquisition module and sending a processing result to the early warning information output module, the early warning information output module sends early warning information to the risk feedback module, and the risk feedback module sends a feedback solution to a user.
CN202011418851.XA 2020-12-07 2020-12-07 Risk identification method based on image-text and video Pending CN112528122A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114183642A (en) * 2021-12-07 2022-03-15 国网福建省电力有限公司经济技术研究院 Risk early warning system based on internet management system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106454492A (en) * 2016-10-12 2017-02-22 武汉斗鱼网络科技有限公司 Live pornographic content audit system and method based on delayed transmission
CN107506454A (en) * 2017-08-29 2017-12-22 央视国际网络无锡有限公司 A kind of computer version and multi-media information security automatic early-warning system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106454492A (en) * 2016-10-12 2017-02-22 武汉斗鱼网络科技有限公司 Live pornographic content audit system and method based on delayed transmission
CN107506454A (en) * 2017-08-29 2017-12-22 央视国际网络无锡有限公司 A kind of computer version and multi-media information security automatic early-warning system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114183642A (en) * 2021-12-07 2022-03-15 国网福建省电力有限公司经济技术研究院 Risk early warning system based on internet management system

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