KR101803066B1 - Integrated identification system and method for illegal copy of book - Google Patents
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Abstract
The present invention relates to an integrated identification system and method for illegally copied books, and more particularly, to a system and method for unified copying of pirated books by scanning or capturing an original book without having to distinguish general book- According to the page-based image configuration, the feature points are extracted based on the high frequency of the letters and pictures, and compared with the minutiae of the original contents of the original book, the illegal copy of the original book can be accurately identified The present invention relates to a system and method for unified identification of illegal copy books.
Description
The present invention relates to an integrated identification system and method for illegally copied books, and more particularly, to a system and method for unified copying of pirated books by scanning or capturing an original book without having to distinguish general book- According to the page-based image configuration, the feature points are extracted based on the high frequency of the letters and pictures, and compared with the minutiae of the original contents of the original book, the illegal copy of the original book can be accurately identified The present invention relates to a system and method for unified identification of illegal copy books.
Due to the development of digital contents technology and the development of data transmission media, mutual exchange of data and amount of information are rapidly increasing. Generally, various types of digital contents such as movies, music, documents, and photographs are produced and shared quickly through the Internet, P2P, or web hard, and it becomes easy to acquire contents.
It is a social problem that is caused by the sharing of contents. This is a problem of infringement of rights of copyright holders due to illegal sharing of copyrighted digital contents. Digital rights management (DRM), watermarking, and fingerprinting are applied to protect copyright rights of users and damage to users due to copyright infringement cases in digital contents. However, when digital works such as CDs, DVDs, and books are digitized and shared, the rights of copyright holders are not properly protected and the damage to users is not prevented.
In particular, books such as books and comic books are illegally copied and copied through high-end scanners and digital cameras, and real publications are converted into digital contents and shared among users without permission. Is frequently occurring.
As a countermeasure against this, we extract the feature points of successive images from the pirated contents to identify pirated contents created in the form of image files through scanning or capturing the current books and then extract them from the original contents of copyrighted original books. And the technique of identifying the illegal copying is applied according to whether or not the match is made.
However, there are various types of books such as book-oriented books as well as books with a focus on simple letters. Therefore, there are differences in feature point techniques applied to character-oriented books and feature point techniques applied to picture-oriented comic books .
Therefore, in order to unify pirated books and pirated cartoons in one system, it is necessary to classify the types of books to be identified in advance and to compare the minutiae points extracted from the contents of the books to be identified with the minutiae points of the original books In order to make it easy, a DB for the minutiae extracted from the original book and a DB for the minutiae extracted from the original comic book should be separately constructed.
That is, the existing system examines the characteristics of the image at the time of requesting the identification of the content, identifies whether the corresponding content is a cartoon or a book, and performs matching by performing feature matching on the corresponding feature DB.
However, in the conventional system, when the DB is constructed, it is recognized as a book when the character frequency is high, because there are many conversations even though it is a cartoon. Therefore, it is impossible to normally extract cartoon character points or to secure uniqueness There is a problem that the recognition rate of illegal copy contents is greatly deteriorated later.
Likewise, if a book contains a large number of pictures such as illustrations, the book will be recognized as a comic at the time of DB construction, and the feature points of the image will be extracted. As a result, the book feature points can not be extracted normally or the uniqueness In this case too, the recognition rate of illegal copy content will be greatly reduced.
This phenomenon may occur even when the illegal copy content identification request is made to the system. Unlike the case of building the DB, since the minutiae are extracted by only a small number of images, identification is attempted. However, if the page with the most illustrations is the identification target, the identification is attempted by referring to the minutia DB of the book type that is completely different from the identification target. As a result, the recognition rate increases and the reliability of the system can be greatly lowered.
Therefore, it is possible to accurately identify pirated contents of books and cartoons by accurately determining the characteristics of books according to the frequency of letters and pictures in a single system, and to develop a system capable of preventing distribution of pirated contents Is required.
The present invention determines whether any one of a character and a figure in a page-by-page image unit extracted from an original content corresponding to a copyrighted original book is high in frequency, extracts feature points in unit of a page-by-page image, The integrated DB for the minutiae of the book is constructed and it is possible to flexibly apply the minutiae point technique according to the letter and the picture frequency when the identification of the pirated copy illegally copied the original book is requested, To compare the contents of the database with that of the DB, so that the pirated contents can be accurately identified without discriminating the book type and thereby the system reliability is improved.
In addition, even though the book is a book, even if there is a page composed only of illustrations or a page composed of only letters despite the presence of a cartoon, the present invention operates so that the feature points can be extracted accurately regardless of the book type, It is possible to precisely extract feature points of pirated contents, thereby accurately detecting original books corresponding to pirated contents, thereby lowering the false recognition rate of pirated contents and improving the overall identification performance.
The integrated identification system of pirated books according to the embodiment of the present invention extracts images from contents converted into images in a book, analyzes each image, and stores the images in correspondence with each image according to parameters having high frequency of pictures and characters Extracting minutiae points of the image through one of the minutiae point extraction algorithms corresponding to pictures and characters in accordance with the attribute information for each of the images to generate minutia information including the minutia information The feature point extracting unit and the different original contents are linked with the image analyzing unit and the feature point extracting unit to generate the feature point information for each of the original images constituting the original content, Matches the content information about the original content, Extracting a plurality of consecutive identification target images constituting the identification target content in association with the image analysis unit and the minutiae point extraction unit when receiving the identification request information including the identification target content, To generate identification target information by grouping the generated minutia information in the order of the identification target images, compares the grouped minutia information with minutia information information of each content information stored in the DB, And judging the identification subject content as the illegal copy content for the content information if the content information matching the matching minutia information is extracted.
According to an embodiment of the present invention, the attribute information may be composed of MSBs or LSBs of a plurality of bits constituting the minutia information.
According to an embodiment of the present invention, the determination unit identifies the order of the original image or the image to be identified according to the file name or the page order of each image, which is assigned to the original image or the identification target image.
In one embodiment of the present invention, the determination unit generates section identification information in which attribute information included in each piece of minutia information constituting the identification target information is arranged according to the order of the identification target images, DB for each piece of feature point information stored in the DB and compares the attribute information of each piece of feature point information stored in the DB with each piece of content information to set a comparison section composed of a plurality of pieces of minutia information successively coinciding with each attribute information according to the section identification information, The feature point information included in the information and the feature point information belonging to the section are compared with each other.
According to an embodiment of the present invention, the determination unit may compare the feature point information included in the section with the feature point information included in the identification target information in the same order to determine whether or not they coincide with each other.
As an example related to the present invention, the determination unit compares each attribute information included in the section identification information with attribute information included in each piece of minutia information that is sequentially matched to the content information in the DB, And sets a section in which the ratio of the number of pieces of attribute information to the number of pieces of attribute information included in the section identification information is equal to or larger than a predetermined reference value as the comparison section.
In one embodiment of the present invention, the determination unit extracts only attribute information from each of a plurality of pieces of minutia information stored in a matching manner for each piece of content information from the DB, generates image summary information sorted according to the sorting order of minutia information, And comparing the section identification information with the image summary information to identify a section that coincides with the attribute information of the section identification information in order from the image summary information, .
The determination unit may calculate a degree of similarity when comparing the minutia information extracted from the identification target image and the minutia information extracted from the original image, and if the similarity is equal to or greater than a preset reference value, The feature point information and the feature point information of the original image coincide with each other.
As an example related to the present invention, the determination unit compares each piece of minutia information of the original content with the identification target information for each piece of the content information to identify the identification target information among the minutia information of the original content compared with the identification target information And calculates a ratio of the number of pieces of minutia information constituting the identification target information to the number of pieces of minutia information constituting the identification target information, From the DB, and judges the identification target content as pirated content for the content information.
A method for identifying an illegal copy of an illegal copy content by converting an original book into an image form according to an exemplary embodiment of the present invention is a method for identifying a plurality of illegal copy books, Extracting an original image, analyzing each original image, giving attribution information corresponding to each original image according to a parameter having a high frequency among pictures and characters, and assigning attribute information corresponding to each original image to pictures and characters Extracts feature points of the image through one of the corresponding feature point extraction algorithms, generates feature point information including the feature information, and matches the content information of the original content according to the order of the original images corresponding to the feature point information Storing the identification target content in the DB, The method comprising the steps of: extracting a plurality of consecutive identification target images constituting the identification target content by a predetermined number, and then extracting feature points in the same manner as the method of generating minutia information for the original content corresponding to each identification target image; Generating identification target information by grouping minutia information corresponding to each identification target image according to the order of the identification target images; comparing the identification target information with minutia information of the content information by the DB And judging the identification target content as the illegal copy content corresponding to the content information when the content information matched with the minutia information successively matching in order with the respective minutia information of the identification target information is extracted.
As described above, according to the present invention, the original contents generated in the form of an image file of an original book are determined by determining whether the frequency of the character or figure is high in the unit of each page regardless of the book type, Is applied to page-by-page images, it is possible to accurately extract feature points that are distinguished from other pages on a page basis, build a DB that guarantees the uniqueness of the original book so as to accurately distinguish the bookmarks from other books, , It is possible to apply the same method as the method of extracting minutiae points of original contents to the illegal duplicate contents created by illegal duplication, so that the comparison with the original contents can be accurately performed. Therefore, As well as being able to detect accurately It shall be accurate to characterize the book, regardless of the kind of books greatly reduce the error rate.
In addition, the present invention is characterized in that when the identification target content is compared with the original content stored in the DB, the identification target information including the minutia information generated based on the identification target image extracted from the identification target content, And extracts only attribute information of one of the main parameters of the figure to generate section identification information. The section identification information is compared with the attribute information included in each piece of minutia information of the DB, and a plurality of minutiae A section including a plurality of consecutive pieces of minutia information including attribute information in order and each attribute information included in the section identification information is identified and then the identification information and the minutiae point comparison are performed only for the corresponding section Thereby greatly reducing the amount of calculation for detecting pirated contents The processing speed can be increased at the same time.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 and FIG. 2 are block diagrams of an integrated identification system for a pirated book according to an embodiment of the present invention; FIG.
FIG. 3 and FIG. 4 are views illustrating an attribute analysis and feature point extraction for each image constituting the contents of the integrated identification system of pirated books according to the embodiment of the present invention. FIG.
FIG. 5 is a diagram illustrating generation of identification target information for identification target content in an integrated identification system of illegal duplicated books according to an exemplary embodiment of the present invention; FIG.
FIG. 6 is an exemplary view showing a comparison between the original contents and the mutual minutiae points of the identification target contents in the integrated identification system of illegal duplicated books according to the embodiment of the present invention. FIG.
FIG. 7 and FIG. 8 illustrate examples of comparison between original contents and mutual minutiae points of identification contents using attribute information of an illegal copy book integrated identification system according to an embodiment of the present invention. FIG.
FIG. 9 is a flowchart illustrating a method for unified identification of pirated books according to an embodiment of the present invention; FIG.
Hereinafter, detailed embodiments of the present invention will be described with reference to the drawings.
1 and 2 are block diagrams of an integrated identification system of illegal copy books according to an embodiment of the present invention. As shown in FIG. 1, an
First, the
When the content is composed of a single file, the
In this case, the
Here, the image may be a file obtained by encoding an image obtained through photographing or scanning in various manners. For example, the image may have an extension of JPEG, GIF, BMP, PNG, TIFF or PDF.
In addition, the
In addition, the
The feature
Accordingly, the feature
In addition, the feature
In this case, the character-related feature point extraction algorithm used by the feature
The feature
Accordingly, the minutia information may include information about a parameter having a higher frequency of a character and a picture with respect to one image, and information about minutiae points of the image.
The feature
At this time, the
2, the
Accordingly, in the integrated identification system of pirated books according to the present invention, a separate DB for each of picture-oriented cartoon and character-oriented books is prepared in the DB building process for original books, Is stored in the comic book database and the minutia information corresponding to the book is stored in the book related DB. It is possible to store any one of the main parameters having higher frequency of letters and pictures in the page unit image The minutiae can be extracted based on the criteria and stored in a single DB by matching with the content information about the original book. Therefore, the minutiae points of all types of books can be integrated and managed in a single DB, thereby improving the efficiency of content management.
In addition, in the system according to the present invention, when a character-oriented page such as a table of contents or a description of a story is formed in spite of being a cartoon, a character-related feature point extraction method is applied to an image corresponding to the page, If the same image-oriented page is constituted, the uniqueness of a specific book can be secured by extracting the feature points corresponding to the main (main) parameter of the image by applying a drawing-related feature point extraction method to the image corresponding to the page, In this way, it is possible to easily compare the original contents of the original book with the counterfeit counterfeit counterfeit counterfeit counterfeit counterfeit contents, as well as to enable accurate detection of counterfeit counterfeit contents.
3 and 4 are diagrams for explaining in detail a single DB construction process for managing minutiae for managing all types of books with a single DB regardless of the type of books described above. First, as shown in FIG. 3, The
At this time, as shown in the figure, the
Accordingly, the feature
In this case, the feature
4, if the book type of the original content is a book mainly composed of letters, if the page including the pictures (
In this case, the feature
Accordingly, the present invention identifies key parameters (letters or pictures) having high frequency in each image constituting the original contents irrespective of the book type, flexibly applies a feature point extraction algorithm corresponding to the identified main parameter, So that the characteristics of the image of each page can be accurately defined.
As described above, the
The determining
In this case, the determining
The
In addition, the integrated identification system of the illegally copied books may be constituted by one device such as a server, or may be constituted as a module in a specific device.
On the other hand, according to the present invention, as described above, the copyrighted original book is pirated through scan or capture based on the
5, the
At this time, the
Meanwhile, the
Then, the feature
Accordingly, the feature
Accordingly, the
6, the
The
Accordingly, the
In the above-described configuration, the
In addition, the
As described above, according to the present invention, it is determined whether the original contents generated in the form of an image file of an original book are higher in frequency of a character or a figure in a unit of a page, irrespective of a book type, By applying the method to page-by-page images, it is possible to accurately extract feature points that are differentiated from other pages on a page basis, and build a DB that guarantees the uniqueness of the original book so that the book can be accurately distinguished from other books. The piracy contents created by illegal copying through the method of capturing or the like can be applied to the original contents in the same manner as the method of extracting the characteristic points of the original contents so that the comparison with the original contents can be accurately performed, Can be accurately detected But it is possible to accurately analyze the characteristics of publications, regardless of the kind of books greatly reduce the error rate.
Meanwhile, the present invention is characterized in that when the identification target content is compared with the original content stored in the
First, as shown in FIG. 7, the
Accordingly, the
At this time, the
In addition, the
For example, the
8, the
That is, as shown in the figure, the
Meanwhile, in the above-described configuration, the
Accordingly, the
FIG. 9 is a flow chart of a method for unified identification of illegal copy books according to an embodiment of the present invention. As shown in FIG. 9, a server configured with the unified identification system of illegal copy books, Extracts a plurality of original images constituting the original image, analyzes the original images, and provides attribution information corresponding to each original image according to a parameter having a high frequency among pictures and characters, according to attribute information corresponding to each original image Extracting feature points of the respective original images through one of feature points extraction algorithms corresponding to pictures and characters, generating feature point information including the feature information, And may be stored in the DB 140 (S1).
If the server receives the identification request information including the identification target content (S2), the server extracts a plurality of consecutive identification target images constituting the identification target content by a predetermined number (S3) Generates minutia information in the same manner as the method of generating minutia information for the original content, arranges minutia information corresponding to each of the identification target images according to the order of the identification target images, and generates grouped identification target information (S4).
Next, the server compares the identification target information with the minutia information information of each content information stored in the DB 140 (S5). Then, the server compares the minutia information information of the identification target information with the minutia information information If it is extracted (S6, S7), the identification subject content may be judged to be illegal copy content corresponding to the content information (S8).
The various devices and components described herein may be implemented by hardware circuitry (e.g., CMOS-based logic circuitry), firmware, software, or a combination thereof. For example, it can be implemented utilizing transistors, logic gates, and electronic circuits in the form of various electrical structures.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or essential characteristics thereof. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.
110: determination unit 120: image analysis unit
130: feature point extracting unit 140: content DB
Claims (10)
A feature point extraction unit for extracting feature points of an image through any one of feature point extraction algorithms corresponding to pictures and characters according to the attribute information for each of the images to generate feature point information including the attribute information; And
The method comprising the steps of: generating minutia information for each of original image contents constituting the original content in cooperation with the image analysis section and the minutia point extraction section for each of the different original content, Wherein the identification information is stored in a database by matching with the content information, and when receiving the identification request information including the identification target content, a plurality of consecutive identification target images constituting the identification subject content are interlocked with the image analysis unit and the minutia point extraction unit, And then generates minutiae information by grouping the minutiae information generated in correspondence with the respective identification images and arranging the minutia information in accordance with the order of the identification target images. Then, the minutiae information is grouped and compared with the minutia information information about the content information stored in the DB, Match each minutiae information of the information in order If the content information matched with the minutia information is extracted, the determination unit determines the identification target content as pirated content for the content information,
Wherein,
Extracts only attribute information from each of the plurality of minutia information stored in the DB in accordance with the content information, generates image summary information sorted according to the minutia information sort order, stores the extracted image summary information in the DB by matching with the content information, Comparing the attribute information included in each piece of feature point information constituting the object information with the image summary information obtained by sorting the section identification information according to the order of the identification object image and sequentially matching the attribute information of the section identification information with the attribute information of the section identification information, Identifies the identified section from the image summary information, and sets the identified section as a comparison section.
Wherein the attribute information is composed of MSBs or LSBs of a plurality of bits constituting the minutia information.
Wherein the determination unit identifies the order of the original image or the image to be identified according to a file name or a page order of each image, which is assigned to the original image or the identification target image.
Wherein the determination unit generates section identification information in which attribute information included in each piece of minutia information constituting the identification target information is arranged according to the order of the identification target images and stores the section identification information in the attribute of each minutia information And a comparison section configured to compare a plurality of pieces of feature point information that are consecutively consecutively in order with each attribute information according to the section identification information, compare the feature point information included in the identification object information with the feature point information included in the comparison object section, And the feature point information belonging to the section are compared with each other.
Wherein the judging unit compares each piece of feature point information belonging to the section with each piece of feature point information included in the identification object information in the same order to judge whether or not they match.
Wherein the determination unit compares each attribute information included in the section identification information with attribute information included in each piece of minutia information that is sequentially matched to the content information in the DB to calculate consecutive matching numbers, Wherein the comparison section sets an interval in which the ratio of the number of attribute information to the number of attribute information included in the information is equal to or greater than a preset reference value.
Wherein the determination unit calculates the degree of similarity when comparing the minutia information extracted from the identification target image and the minutia information extracted from the original image, and when the similarity is equal to or greater than a preset reference value, And the information is judged to be mutually coincident with each other.
Wherein the determination unit compares each piece of feature point information of the original content with the piece of identification object information for each piece of the content information to compare the piece of characteristic information of the original content with the piece of identification information included in the identification subject information, Extracting from the DB content information having a ratio equal to or greater than a preset reference value, and calculating a ratio of the number of minutia information constituting the identification target information to the number of minutia information constituting the identification target information, And determining the identification target content as pirated content for the content information.
Extracting a plurality of original images constituting the original contents with respect to each of the different original contents, analyzing each of the original images, and assigning attribution information corresponding to each original image according to parameters having high frequency among pictures and characters, Extracting feature points of an image through any of feature point extraction algorithms corresponding to pictures and characters according to attribute information corresponding to each original image, generating feature point information including the feature information, Matching the content information of the original content according to the order of the images and storing the content information in a DB;
Receiving identification request information including identification subject content;
Extracting a plurality of consecutive identification target images constituting the identification target content by a predetermined number, generating minutia information in the same manner as the method of generating minutia information for the original content corresponding to each identification target image, Comprising the steps of: generating identification target information by grouping minutiae information corresponding to an identification target image according to the order of the identification target images; And
Comparing the identification target information with the DB and the minutia information information according to the content information, and when the content information matched with the minutia information successively matching in order with the minutia information information of the identification target information is extracted, Judging the corresponding illegal copy content,
The step of judging the illegal copy content includes:
Extracts only attribute information from each of the plurality of minutia information stored in the DB in accordance with the content information, generates image summary information sorted according to the minutia information sort order, stores the extracted image summary information in the DB by matching with the content information, Comparing the attribute information included in each piece of feature point information constituting the object information with the image summary information obtained by sorting the section identification information according to the order of the identification object image and sequentially matching the attribute information of the section identification information with the attribute information of the section identification information, Identifying the image from the image summary information, and setting the identified section as a comparison section.
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KR102112768B1 (en) * | 2018-08-06 | 2020-06-04 | 네이버웹툰 주식회사 | Method, apparatus and computer program for detecting marker using image matching |
KR102052534B1 (en) * | 2018-12-05 | 2019-12-06 | 주식회사 비욘드테크 | Apparatus for judging illegal duplication using object recognition based on deep learning and method thereof |
KR102052535B1 (en) * | 2018-12-05 | 2020-01-08 | 주식회사 비욘드테크 | Apparatus for judging illegal duplication using feature point and method thereof |
KR102113756B1 (en) * | 2018-12-20 | 2020-05-21 | 주식회사 디알엠인사이드 | System and method for identifying online comics based on region of interest |
KR102527129B1 (en) * | 2022-03-15 | 2023-04-28 | 박연조 | Method, apparatus and computer-readable recording medium for generating and providing participatory webtoon content for monetization |
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