KR101976802B1 - A Contents Monitering System For Protection Of Copyright - Google Patents

Abstract

The present invention relates to a real-time content monitoring system for copyright protection, capable of blocking distribution of illegal content. According to the present invention, the real-time content monitoring system for copyright protection comprises: a provider subscription module receiving provide information including a service site address from a plurality of service providers; a content storing module including a protection target database receiving protected content information of protection target content from a content provider, a provided content database storing provided content information of providing target content which is content uploaded on a service site, and an identifier database storing an identifier, which identifies cooperation target content among the contents uploaded in the service site, received from the service provider; a cooperated content extraction module including a cooperated content extraction unit extracting cooperated content from the provided target content through comparison between the providing content information and the identifier, and a non-cooperation determination unit determining the providing target content not extracted as the cooperated content as non-cooperated content; and an illegal content extraction module extracting illegal content from the non-cooperated content through comparison between the providing content information of the non-cooperated content and the protected content information.

Description

[0001] The present invention relates to a content monitoring system,

The present invention relates to a real-time content monitoring system for copyright protection. More specifically, the present invention relates to a real-time content monitoring system for copyright protection, in which real-time filtering of distribution of illegal works and normal sales of affiliate works, And to provide a digitalized statistical value of the distribution record to the real-time content monitoring system for copyright protection.

Nowadays, due to the development of mobile communication technology and wireless terminal technology, a ubiquitous computing environment capable of accessing the Internet anytime and anywhere has been established.

As the ubiquitous computing environment is established, people can freely download and use multimedia contents such as text-based documents, still images, and videos, such as books, anytime and anywhere.

In this case, the content sharing web page such as Web hard is used. The web hard means storage space on the Internet which can store contents such as data or files like a hard disk of a computer. If we look more closely at how content is shared via WebHard, content providers who have rights and distribution permissions to the content of the work will upload the content to the WebHard. The uploaded content is provided to the general user for a fee by the webhard operator, and the general user receives the content fee and downloads the content to the webhard user. The web hard user then provides the content provider with the cost for the content.

However, as the content demand of general users has recently increased, the distribution of illegal contents on the online content market, that is, web hard, is also increasing exponentially.

Unlike conventional offline content, digital contents such as multimedia contents are easily duplicated by a client or an Internet user without damaging the original, and the distribution of illegal contents has a serious harm to the copyright owner, that is, content provider .

Therefore, various methods to prevent unauthorized distribution of pirated contents have been studied and applied.

As a prior art to this problem, Korean Patent Registration No. 10-1800641 discloses a system and method for content copyright protection. The present invention relates to a content copyright protection system and method, and more particularly, to a content copyright protection system and method, and more particularly, to a content copyright protection system and method for an online service provider site (OSP) It is determined whether or not the posted content is illegal based on the accuracy of the illegal content considering both the image content and the content of the content included in the published content publishing information and whether the content is allied with the posted content, And a content copyright protection system and method.

Accordingly, the online content service site provided by the OSP registered as a member can classify the content including the affiliation information into normal content by providing the affiliation information, which is the information about the affiliation by each content, It is possible to extract the content, thereby reducing the number of contents to be checked for illegalness, thereby improving the detection speed of the illegal content.

However, according to the present invention, the distribution of illegal works and the normal sales of the cooperative works are filtered in real time on a web page or the like sharing contents to block illegal contents and digitize statistical values for distribution records of normal contents And to provide a real-time content monitoring system for copyright protection.

Disclosure of the Invention The present invention has been conceived to overcome the problems of the above-described technology, and it is an object of the present invention to provide a method and apparatus for filtering illegal content and distribution of illegal content, And to provide a real-time content monitoring system for copyright protection, which enables digital statistics values to be provided.

It is another object of the present invention to provide a content management method and a content management method, which are capable of controlling the number of content uploaded to a service site to be monitored during an analysis period, the number determined as an affiliate content, To generate data on statistics and to provide them to service providers.

It is still another object of the present invention to enable illegal content extraction using a hash value.

It is a further object of the present invention to enable illegal content extraction through keyword comparison between the content to be protected and the content to be provided.

It is a further object of the present invention to extract related words from not only keywords included in a content to be provided but also text related to a content to be provided at the time of illegal content extraction using a keyword so as to be used for similarity analysis.

In order to achieve the above object, a real-time content monitoring system for copyright protection according to the present invention comprises: a provider subscription module for receiving provider information including a service site address from a plurality of service providers; A protection target DB for receiving and storing protection content information of a protection target content from a content provider; a provision target content DB for storing provision target content information of a target content that is a content uploaded to the service site; And an identification DB for receiving and storing an identifier for identifying a content to be affiliated among the contents uploaded to the content storage module. An affiliate content extracting unit that extracts an affiliate content from the content to be provided through comparison processing between the provided content information and the identifier, and a non-affiliated determination unit that determines the content to be provided that has not been extracted as the non- An affiliate content extraction module including a content part; And an illegal content extraction module for extracting illegal content from the non-affiliated content through a comparison process between the provided content information of the non-affiliated content and the protected content information.

Also, the system may further include: an association frequency calculation unit for determining a frequency of association, which is the number of the affiliate contents extracted from the service site for a predetermined analysis period; An illegal frequency calculation unit for determining an illegal frequency that is the number of the illegal contents extracted from the service site during the analysis period; And a data providing unit for generating content statistics based on the number of contents, the association frequency and the extraction frequency, and providing the generated content statistics to the service provider.

In addition, the affiliate content extracting unit may include: an identifier comparison part for comparing the provided content information with the identifier to determine whether or not the content to be provided includes the identifier; and an extraction part for extracting the content to be provided including the identifier as an affiliate content Wherein the illegal content extraction module compares the provided content information of the non-affiliated content with the protected content information to determine a degree of similarity between the content to be provided and the protected content And a similarity extracting unit for extracting the contents to be provided which exceed the preset reference value as illegal contents.

In addition, the system may further include a feature information storage module including an information extraction unit for extracting the hash value feature information of the protected content, and a feature DB for storing the hash value feature information. The similarity degree determination unit may include a hash analysis part for grasping a hash value of the provided content information and a hash value analysis part for comparing the hash value of the provided content information with the hash value feature information to determine a degree of similarity And a hash comparison part for determining the hash comparison part.

A real-time content monitoring system for copyright protection according to the present invention comprises:

1) In order to block the illegal contents and to digitize the statistics of the circulation records for the normal contents, it is possible to filter the illegal works'

2) Data on statistics including the number of contents uploaded to the service site monitored during the analysis period, the number determined as affiliated contents, the number determined as non-affiliated contents, and the number determined as illegal contents among non-affiliated contents And provide it to the service provider,

3) Not only has it enabled illegal content extraction using hash value,

4) Keyword comparison between the protected contents and the contents to be provided enabled illegal contents extraction,

5) When extracting illegal contents using keywords, related words are extracted from the texts related to the contents to be provided as well as the keywords included in the contents to be provided, so that they can be used for the similarity analysis.

1 is a conceptual diagram showing a schematic configuration of a system of the present invention;
2 is a block diagram illustrating a detailed configuration of a system of the present invention;
3 is a process diagram showing a real-time content monitoring sequence of the present invention.
4 is a graph showing an example of the likelihood function of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The accompanying drawings are not drawn to scale and wherein like reference numerals in the various drawings refer to like elements.

1 is a conceptual diagram showing a schematic configuration of a system 10 of the present invention.

Referring to FIG. 1, components of the real-time content monitoring system 10 for copyright protection of the present invention will be described.

The real-time content monitoring system 10 for copyright protection of the present invention basically comprises a service provider 20, a content provider 30, an uploader 40, and a main server 50.

First, the content provider 30 refers to a person who owns rights to data or files, and may be a person who holds rights to the content. This may be referred to as a content provider in the above description, and may be a general person or a company having rights to a content such as data and files, that is, rights to distribute contents and distribution permission. Thus, the content provider 30 can request protection and monitoring of content having rights and distribution permits through the content monitoring system 10 of the present invention.

The service provider 20 may be referred to as a web hard service provider 20, i.e., a web hard service provider in the above description. It may be a private individual or a company. Web hard means a storage space on the Internet that can store contents such as data or files like a hard disk of a computer. The service provider 20 opens a service site as a provider for the web hard service, Quot; is a person who has created a storage space on the web for storing contents of "

Contents such as data and files can be uploaded to the service site established through the service provider 20, that is, the web hard, and can be shared with the public. At this time, the uploader is generally referred to as an uploader 40. The uploader 40 may be a general person having a specific content, or may be the content provider 30 described above. Therefore, when the content provider 30 or the general uploader 40 uploads the content to the service site, the service provider 20 can sell the uploaded content to the general user, that is, to the public for a fee.

The main server 50 may be referred to as a group of server PCs for the implementation of the system 10 of the present invention. As described later, various databases are included in the system 10, A system 10 server for implementing the present invention may be referred to as a main server 50 of the present invention. The main server 50 implements the content monitoring system 10 to not only identify the affiliated content and the non-affiliated content among the contents uploaded to the service site, but also illegally transmit the illegal content, that is, illegally Perform monitoring on the content being sold.

Here, the affiliated content is a content that is normally sold through a contract with the content provider 30, that is, a content that is shared through formal authorizations.

Non-affiliated content can be said to be a wide range of illegal content, but content that is sold without contracting with the content provider 30. That is, content that is being shared and sold without formal permission to sell and share.

Therefore, the main server 50 of the present invention plays a role of extracting non-affiliated contents by discriminating the affiliated contents and non-affiliated contents among the contents uploaded to the service site through the implementation of the system 10. [ Further, the second extraction is added to the non-affiliated contents to extract illegal contents in a finer sense. In this case, the secondary extraction target means a content in which a protection request is received from the content provider 30, that is, a content to be protected, which is a content prohibited from legitimate sharing without cooperation, This is an illegal law, so illegal content in a narrow sense means content that is highly similar to the protected content among non-affiliated contents.

Through this, it is possible to monitor the distribution of illegal contents on the service site, that is, the web hard, and the normal sales of the affiliate contents in real time, and to provide blocking requests for illegal contents and distribution statistics about affiliate contents and illegal contents.

The real-time content monitoring system 10 for copyright protection according to the present invention will now be described in more detail.

FIG. 2 is a block diagram showing a detailed configuration of the system 10 of the present invention, and FIG. 3 is a process diagram showing a real-time content monitoring sequence of the present invention.

2 and 3, the real-time content monitoring system 10 for copyright protection of the present invention basically includes a provider subscription module 100, a content storage module 200, an affiliate content extraction module 300, An illegal content extraction module 400 is basically included.

The provider subscription module 100 functions to receive provider information including a service site address, that is, an address of an operating web hard site, from the plurality of service providers 20 described above.

The content storage module 200 is a module for performing a function of a database for inputting and storing a plurality of information including the protection object DB 210, the provision contents DB 220 and the identification DB 230, The following is an explanation.

The protected object DB 210 receives and stores protected content information for the protected content, which is a content for protecting the rights to circulation and sale, from the content provider 30 described above. The protected content information may include the content itself to be protected, some images (still images or video) of the content to be protected, titles, descriptions, and related keywords (such as supervisors, casts, synopsis, synopsis for movie content) have.

The providing content DB 220 receives and stores the content uploaded to the service site, that is, the providing content information, which is the information of the content to be provided, uploaded by the uploader 40. At this time, the provided content information may include the content to be provided itself, the title of the content, a description, a related keyword, and the like. In addition, an identifier to be described later is also stored in the provided content information.

The identification DB 230 receives the identifier from the service provider 20 and stores the received identifier. In this case, the identifier may be referred to as an identification keyword or code added to the affiliated content in order to identify the affiliated content among the contents to be provided, that is, all the contents uploaded to the service site. This may be a keyword word such as 'affiliate' , Or it may be a specific code or a specific image. Therefore, since the identifiers added to the affiliated contents may be different for each service provider 20, the identifier is received from the service provider 20 and stored.

The affiliate content extracting module 300 extracts the affiliate content and the non-affiliated content from the content to be provided, which is uploaded to each service site. The affiliate content extracting module 310 and the non- .

The affiliate content extracting unit 310 performs a function of extracting an affiliate content among the content to be provided through comparison processing between the provided content information uploaded to each service site and the identifier. Accordingly, the affiliate content extracting unit 310 determines whether the provided content information of each content to be provided includes an identifier (which may be any one of a keyword, a code, and an image) and stores the content to be provided, And the distribution of affiliate contents is monitored. More specifically, the identifier comparison part 311, which can be included in the affiliate content extraction unit 310, compares the provided content information with the identifier to determine whether or not the content to be provided includes the identifier, The identifier-based extraction part 312 that can be included in the part 310 extracts the content to be provided including the identifier as an affiliate content.

The non-affiliated content extracting unit 320 performs a function of determining and extracting a content that is not extracted as an affiliated content, that is, a content to be provided that does not include an identifier in the provided content information, as a non-affiliated content. Non-affiliate content can be considered as illegal content in a broad sense, so that it will monitor illegal content.

Furthermore, the real-time content monitoring system 10 of the present invention further includes an illegal content extraction module 400. This is to judge illegal content even among non-affiliated contents. It is judged illegal content which is the content to be protected, which is requested to be protected directly from the contents provider 30, that is, the content which is prohibited to be uploaded without affiliation, In order to perform monitoring.

The illegal content extraction module 400 performs a comparison process between the provided content information and the protected content information of the non-affiliated content in a second order, and stores the protected content information in the non-affiliated content including the provided content information, Unfriendly contents, that is, non-affiliated contents whose similarity with the protected content is equal to or higher than the reference, into illegal contents. At this time, the criterion of the degree of similarity determination may be set by the system 10 manager of the present invention, or the content provider 30.

In detail, the similarity determination unit 410, which may be included in the illegal content extraction module 400, compares the provided content information of the non-affiliated content with the protected content information, And judges the similarity between the target contents. At this time, there is no limitation on the similarity determination method, and an embodiment of the similarity determination will be described later.

In addition, the similarity extraction unit 420, which may be included in the illegal content extraction module 400, may determine that the similarity is an illegal content that exceeds the reference value preset by the administrator of the system 10 or the content provider 30 Can be extracted.

Accordingly, the real-time content monitoring system 10 for copyright protection according to the present invention can perform monitoring of affiliate content, non-affiliated content, and illegal content. In the case of non-affiliated content, And may ask for blocking or illegal deletion through the service provider 20 in case of illegal contents.

Furthermore, the system 10 of the present invention can provide statistical data on affiliated contents, non-affiliated contents, and illegal contents, and may further include a statistical analysis module 500 for this purpose. The statistical analysis module 500 specifically includes an association frequency calculation unit 510, a non-association extraction unit 520, an illegal frequency calculation unit 530, and a data providing unit 540.

The affiliate frequency calculating unit 510 calculates the affiliate frequency of the affiliate content extracted and processed in the service site monitored during the predetermined analysis period through the administrator of the system 10, the content provider 30, and the service provider 20 It is possible to perform the function of grasping the number of cooperating frequencies.

The non-association extracting unit 520 can perform a function of grasping the number of non-association frequencies that is the number of the non-affiliated contents extracted and processed in the service site that has been monitored during the analysis period described above.

The illegal frequency calculation unit 530 may perform a function of grasping the illegal frequency, which is the number of the illegal contents extracted and processed in the service site that has been monitored during the analysis period described above.

The data providing unit 540 generates content statistics based on the number of affiliation frequencies, non-affiliation frequencies, and extraction frequencies during the analysis period, based on the total number of contents to be provided, which are uploaded to the service sites being monitored during the analysis period, And provides content statistics to the service provider 20 operating the service site. At this time, the content statistics are data on the number of uploaded contents, the number determined as affiliated contents, the number determined as non-affiliated contents, and the statistics including the number determined as illegal contents among non-affiliated contents. The service provider 20 provides the service provider 20 with information about how much content is shared in the service site operated by the service provider 20, that is, web hard, how much of the affiliated / non-affiliated content is, It is possible to provide a real-time monitoring result on the specific gravity.

In addition, in the above description, there is no limitation on the determination of the degree of similarity for illegal content extraction. In this case, a hash value comparison or a keyword comparison can be performed to determine the degree of similarity.

First, an embodiment for comparing hash values will be described. The system 10 of the present invention may further include a feature information storage module 600 basically for storing hash value feature information. The feature information storage module 600 basically includes an information extraction unit 610 and a feature DB 620.

The information extracting unit 610 extracts the hash value feature information of the protected content. In this case, the hash value characteristic information means the hash value of the content, and the hash value is a numerical value such as a cipher that shortens the file characteristic in order to verify the identity of the copied digital evidence. Generally, Quot ;, so it can be said to be a characteristic of the content.

The feature DB 620 stores the hash value feature information extracted from the content to be protected and stores it in a database. Since the hash value feature information of the content to be protected is stored in the feature DB 620, it is possible to determine the degree of similarity to be described later.

In the case where the feature information storage module 600 extracts and stores the hash value feature information of the corresponding protection target content, the similarity determination unit 410 compares the hash value of the target content with the hash value feature information The degree of similarity is determined. For this, the similarity determination unit 410 may further include a hash value analysis part 411 and a hash value comparison part 412.

The hash value analysis part 411 performs a function of grasping the hash value of the content to be provided and has the same function as the information extraction part 610 of the feature information storage module 600, There is a difference in the content to be provided. The detailed description will be made with reference to the above-described information extracting unit 610, and a description thereof will be omitted.

The hash value comparison part 412 performs a function of comparing the hash value of the content to be provided with the hash value feature information to determine the degree of similarity between the content to be provided and the content to be protected. If the degree of similarity between the hash value of the content to be provided and the hash value feature information is high as it is called 'fingerprint of digital evidence', it can be determined that the content to be provided corresponds to the content to be protected.

Another embodiment of judging the similarity degree may be a keyword comparison method, which compares the keyword feature information included in the protection target content with the similarity between the keywords included in the target content. At this time, in the case of the contents to be provided, there are cases where the uploaders 40 manipulate keywords in order to avoid monitoring. In other words, if the title is love, it is possible to avoid searches such as 'Sara / Rang' or 'Sara'. Accordingly, not only the keywords included in the content to be provided but also related words related to the keywords are extracted and compared with the keyword feature information included in the protected content.

In order to do this, the keyword feature information of the protection target content is first extracted and stored through the feature information storage module 600. In this embodiment, the information extraction unit 610 of the feature information storage module 600 extracts the protection target content And the feature DB 620 may store the keyword feature information and convert the keyword feature information into a database. In this case, the keyword feature information may be a text keyword included in the protected content information of the protection target content such as the title, content, story, synopsis, cast, supervision of the protection target content.

In addition, the content storage module 200 may further include an associated text DB 240. The related text DB 240 collects and stores related texts related to the content to be provided. At this time, the related text may include the title, file name of the content to be provided, file description text content of the web page, upload date, and the like. In addition, related texts search for and gather information on words, sentences, file names, titles, and texts that are judged to be similar to the title, file name, and file description text of a web page.

In addition, when related text is stored, association feature information for a content to be provided is extracted from the related text. For this purpose, the related module 700 may be further included in the system 10 of the present invention. The related word extraction module 700 extracts related feature information from a plurality of related texts and stores the related feature information in the DB 760. [

Accordingly, not only the keyword feature information of the content to be protected but also related feature information of the uploaded contents to be provided can be grasped through such a configuration. In this case, the similarity determination unit 410 further includes a related part 413 , The degree of similarity between the content to be provided and the content to be protected can be determined through a comparison process between the related feature information of the content to be provided and the keyword feature information of the protected content.

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As described above, the configuration and operation of the real-time content monitoring system for copyright protection according to the present invention are described in the above description and drawings. However, the present invention is not limited to the above description and drawings And it is to be understood that various changes and modifications may be made without departing from the spirit of the invention.

10: System 20: Service Provider
30: Content provider 40: Uploader
50: main server 100: provider subscription module
200: content storage module 210: protected object DB
220: Provided content DB 230: Identification DB
240: Related text DB 300: Affiliate content extraction module
310: Affiliate Content Extraction Unit 311: Identifier Comparison Part
312: Identifier based extraction part 320: Non-affiliated content extraction part
400: Illegal content extraction module 410:
411: Hash Value Analysis Part 412: Hash Value Comparison Part
413: Related word comparison part 420: Similarity extraction part
500: Statistical analysis module 510: Alliance frequency calculation part
520: non-affiliated extraction unit 530: illegal frequency calculation unit
540: Data providing unit 600: Feature information storage module
610: Information extracting unit 620: Feature DB
700: related extraction module

Claims (11)

A real-time content monitoring system for copyright protection,
A provider subscription module for receiving provider information including a service site address from a plurality of service providers;
A protection target DB for receiving and storing protection content information of a protection target content from a content provider; a provision target content DB for storing provision target content information of a target content, which is a content uploaded to the service site; A content storage module including an identification DB for receiving and storing an identifier for identifying an affiliated content among contents;
An affiliate content extracting unit that extracts the affiliate content from the content to be provided through a comparison process between the provided content information and the identifier, and a non-affiliated content extracting unit that extracts the content to be provided that has not been extracted by the affiliated content, An affiliate content extracting module including a content extracting unit;
An illegal content extraction module that extracts an illegal content from the non-affiliated content through comparison processing between the provided content information of the non-affiliated content and the protected content information;
An association frequency calculating unit for determining a frequency of association, which is the number of the affiliate contents extracted from the service site during a predetermined analysis period; and a ratio calculating unit for calculating a ratio An illegal frequency calculation unit for determining an illegal frequency that is the number of illegal contents extracted from the service site during the analysis period; and an illegal frequency calculating unit for calculating an illegal frequency based on the number of the contents to be provided, And a data providing unit configured to generate content statistics based on the frequency, the frequency of unassociation, and the frequency of extraction and provide the content statistics to the service provider. delete The method according to claim 1,
The illegal content extraction module includes:
A degree of similarity determination unit for comparing the provided content information of the non-affiliated content with the protected content information to determine a degree of similarity between the content to be provided and the content to be protected;
Further comprising a similarity extracting unit for extracting the contents to be provided having the similarity exceeding a preset reference value as illegal contents. The method of claim 3,
The system comprises:
An information extracting unit extracting the hash value feature information of the protected content, and a feature DB storing the hash value feature information,
Wherein the similarity-
A hash value analysis part for grasping a hash value of the content to be provided,
Further comprising a hash value comparison part for comparing the hash value of the content to be provided with the hash value feature information to determine the degree of similarity between the content to be provided and the protected content. Content monitoring system. The method of claim 3,
The content storage module,
And a related text DB for collecting and storing related text related to the contents to be provided,
The system comprises:
An information extraction unit for extracting keyword feature information of the content to be protected, and a feature DB for storing the keyword feature information; And
And a related word extraction module for extracting related feature information from a plurality of related texts and storing related feature information in a DB,
Wherein the similarity-
Further comprising a related part comparison part for determining a degree of similarity between the content to be provided and the content to be protected through comparison processing between the related feature information of the content to be provided and the keyword feature information of the protection target content , Real-time content monitoring system for copyright protection. delete delete delete delete delete delete

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