CN113326394A - Vector diagram watermark embedding and tracing method and system - Google Patents
Vector diagram watermark embedding and tracing method and system Download PDFInfo
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- CN113326394A CN113326394A CN202110745071.4A CN202110745071A CN113326394A CN 113326394 A CN113326394 A CN 113326394A CN 202110745071 A CN202110745071 A CN 202110745071A CN 113326394 A CN113326394 A CN 113326394A
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- 239000013598 vector Substances 0.000 title claims abstract description 83
- 238000010586 diagram Methods 0.000 title claims abstract description 57
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000008859 change Effects 0.000 claims abstract description 17
- 238000012216 screening Methods 0.000 claims abstract description 11
- 238000012163 sequencing technique Methods 0.000 claims abstract description 8
- 238000002372 labelling Methods 0.000 claims abstract description 7
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000000605 extraction Methods 0.000 claims description 11
- 108010001267 Protein Subunits Proteins 0.000 claims 1
- 230000008569 process Effects 0.000 description 16
- 238000003491 array Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 4
- 230000009466 transformation Effects 0.000 description 4
- 238000003702 image correction Methods 0.000 description 3
- 239000011159 matrix material Substances 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
Abstract
The application relates to a vector image watermark embedding and tracing method and a system, wherein the embedding method comprises the following steps of extracting the characteristic information of a bitmap to be retrieved; calculating and retrieving a target vector diagram according to the feature information of the bitmap to be retrieved and the existing feature information; acquiring user login information, and matching a tracing identifier according to the user login information; embedding the tracing identifier into a labeling area of a target vector diagram, and converting the tracing identifier into a data stream; the tracing method comprises the steps of obtaining a target bitmap and characteristic information of an image to be retrieved; comparing the characteristic information, and screening out a plurality of target images related to the image to be retrieved; sequencing the target images according to the characteristic difference of the bitmap and the vector diagram; calculating the angle change of the target image and sequencing the angle change along a positive direction; and obtaining ordered codes according to the sorting of the angle change and extracting user information according to the codes.
Description
Technical Field
The invention belongs to the technical field of vector diagram editing, and particularly relates to a vector diagram watermark embedding and tracing method and system.
Background
Aiming at a 2D vector diagram tracing method, a 2D vector diagram vertex sequence is extracted, a polar coordinate system is constructed, and a hash function with an RS encoding key is embedded into the 2D vector diagram by utilizing the geometric invariant feature of the vertex; when decoding, a polar coordinate system needs to be reconstructed, the image is restored to the original size, and then the watermark is extracted from the 2D vector diagram according to the inverse process of the watermark embedding algorithm.
The problems in the related art are as follows: all processes are carried out based on a 2D vector diagram, and the copyright protection mode is limited; the encoding and decoding process causes certain damage to the vector graph source data.
Disclosure of Invention
Aiming at the problems, the invention discloses a vector diagram watermark embedding and tracing method and a system in order to conveniently embed and trace the watermark of a 2D vector diagram,
in a first aspect, the invention discloses a vector image watermark embedding method, which comprises the following technical characteristics,
a vector graphics watermark embedding method, said method comprising the steps of,
extracting the characteristic information of the bitmap to be retrieved;
calculating and retrieving a target vector diagram according to the feature information of the bitmap to be retrieved and the existing feature information;
acquiring user login information, and matching a tracing identifier according to the user login information;
and embedding the tracing identifier into a labeling area of the target vector diagram, and converting the tracing identifier into a data stream.
Furthermore, the embedding method also comprises the steps of establishing a feature library,
and after extracting the feature information of the bitmap to be retrieved, storing the feature information into the feature library.
Furthermore, the tracing identifier is embedded into a labeling area of the target vector diagram, and after the tracing identifier is converted into a data stream, the vector diagram with the tracing identifier is stored to the client.
In a second aspect, the invention discloses a vector image watermark embedding system, which comprises the following technical characteristics,
a vector image watermark embedding system, said embedding system comprising:
the characteristic extraction module is used for extracting the characteristic information of the bitmap to be retrieved;
the calculation retrieval module is used for calculating and retrieving a target vector diagram according to the feature information of the bitmap to be retrieved and the existing feature information;
the identification matching module is used for acquiring user login information and matching the tracing identification according to the user login information;
and the identification embedding module is used for embedding the tracing identification into the labeling area of the target vector diagram and converting the tracing identification into a data stream.
Furthermore, the embedded system further comprises a feature library, and the feature library is used for storing the feature information of the bitmap extracted by the feature extraction module.
Furthermore, the embedded system further comprises a data storage module, which is used for storing the vector diagram with the tracing identifier to the client.
In a third aspect, the invention discloses a vector diagram watermark tracing method, which comprises the following technical characteristics,
a vector diagram watermark tracing method comprises the following steps:
acquiring a target bitmap and characteristic information of an image to be retrieved;
comparing the target bitmap with the characteristic information of the image to be retrieved, and screening out a plurality of target images related to the image to be retrieved from the target bitmap;
sequencing the target images according to the characteristic difference of the bitmap and the vector diagram;
calculating the angle change of the target image and sequencing the angle change along a positive direction;
and obtaining ordered codes according to the sorting of the angle change, extracting user information according to the codes, and realizing tracing.
Further, after the target bitmap is sorted according to the characteristic difference between the bitmap and the vector image, the image correction is performed on the target image.
Further, the sorting the target images specifically includes:
performing hash coding on each target image according to the image to be retrieved;
and carrying out relevancy sorting on the target images through Hamming distance according to the Hash coding result.
In a fourth aspect, the invention discloses a vector image watermark tracing system, which comprises the following technical characteristics,
a vector graphics watermark tracing system, said tracing system comprising:
the characteristic acquisition unit is used for acquiring a target bitmap and characteristic information of an image to be retrieved;
the comparison screening unit is used for comparing the target bitmap with the characteristic information of the image to be retrieved and screening a plurality of target images related to the image to be retrieved from the target bitmap;
the image sorting unit is used for sorting the target images according to the characteristic difference of the bitmap and the vector diagram;
the characteristic calculation unit is used for calculating the angle change of the target image and sequencing the angle change along a positive direction;
and the code extraction unit is used for acquiring the ordered codes according to the sorting of the angle change, extracting the user information according to the codes and realizing the tracing.
Furthermore, the tracing system further comprises an image rectification unit, and the image rectification unit is used for carrying out image rectification on the target image.
Furthermore, the image sorting unit comprises a hash coding subunit and a hamming sorting subunit, and the hash coding subunit is used for respectively performing hash coding on each target image according to the image to be retrieved; and the Hamming sorting subunit is used for sorting the correlation degree of the target image through the Hamming distance according to the result of the Hash coding.
The present invention has the advantage that,
the tracing identifier corresponding to the information of the download user can be embedded into the vector diagram by means of the scale invariant feature of the vector diagram, and the vector diagram retrieval module can be used for tracing.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 shows a schematic diagram of a watermark embedding and downloading process according to an embodiment of the present application;
fig. 2 shows a schematic diagram of a tracing process according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
The application discloses a vector diagram watermark embedding system which comprises a feature extraction module, a calculation retrieval module, a feature library, an identification matching module, an identification embedding module and a data storage module.
In addition, the embedded system provides services through a Windows communication framework, and the main functions of the embedded system are as follows:
1. the server side uses a ServiceController component to create Windows service;
2. creating a server program (host Windows Forms);
3. creating a service agreement (servicecontext) and an implementation service agreement (operationcontext);
4. configuration and bearer service: establishing a ServiceHost object for the service (ensuring that the ports do not conflict) and specifying the service class and the service base address to be registered; a public end point; starting metadata exchange, and establishing a service metadata behavior object; finally, starting/closing the host, and starting/ending the service;
5. creating and using a client (Windows forms and controls);
6. adding a service reference pointing to a service base address for the client to download the metadata; the client invokes service operations (client login, file stream upload/download, feature extraction, etc.) using the proxy class.
The embodiment of the application also discloses a vector image watermark embedding method, which is combined with the vector image watermark embedding system and introduced with reference to fig. 1.
The embedding method comprises the following steps:
step one, obtaining a vector diagram and generating a bitmap corresponding to the vector diagram according to the vector diagram.
In the embodiment, the client generates the vector diagram and the bitmap which are mutually associated and correspond through a group component in a Visio file of the batch analysis vector diagram.
The method specifically comprises the following steps:
1. installing the SDK;
2. a Visio program (Microsoft, office, Interop, Visio, InvisibleApp, documents, open) is called to open a Visio file, and the type, GetTypeFromProgID is used to avoid the phenomenon of screen flashing in the process of calling system software;
3. acquiring a shape object (Visio. document. pages [1]. Shapes [ i ]), deleting objects except interesting objects by name, removing shape objects with less drawing time by shape size and the like;
4. and storing all the shape objects of interest after being screened out as a Visio file (vector diagram) and a png file (bitmap).
Combining the vector diagram and the bitmap through a file combination module to generate a plurality of file streams with identification information;
the identification information carried by the analyzed file stream is GUID information, the file stream enters the server through a communication framework and enters the server, and the file stream is stored in a server database (SQLServer) in a byte data form (zip).
Each file stream (vector _ package) attribute includes: the file information (FileInfo: ID, Name, Size, etc.) and the byte information converted from the parsed one visio file (vector diagram) and png file (bitmap) are copied by using streamUtil, then uploaded to the server by using the service agreement (OperationContract), and converted into data according to the inverse process and added to SQLServer. That is, the client converts the visio file and the png file into byte arrays, then converts the byte arrays into a file stream, and the file stream is transmitted to the server, and the byte arrays are added to the database in the reverse process (the file stream is converted into the byte arrays) of the server.
Uploading the screenshot by the client, and extracting the feature information of the bitmap to be retrieved by the feature extraction module;
the feature extraction module is used for extracting features and is completed through the server. And after extracting the characteristic information of the bitmap to be retrieved, storing the characteristic information into a characteristic library. The bitmap feature acquisition convolutional neural network (python) acquires feature information, and a newly-built h5py feature library or an existing h5py feature library is adopted as a feature library.
Fourthly, a calculation retrieval module calculates and retrieves a target vector diagram according to the feature information of the bitmap to be retrieved and the existing feature information;
the existing characteristic information is the existing characteristic information in the characteristic library, the calculation and retrieval process is completed through the server, the target vector diagram of the database is obtained through the calculation and retrieval process, and the subsequent identification embedding work is waited to be carried out.
Step five, when the user executes downloading, the identification matching module acquires user login information and matches the tracing identification according to the user login information;
the obtaining of the user login information is also completed through the server side, when the user executes downloading, the user login information specific to the client can be obtained, the tracing identifier is obtained by the identifier matching system while the user login information is obtained, and the tracing identifier is corresponding to the user login information and is also used for distributing the tracing identifier.
And sixthly, embedding the tracing identifier into the labeling area of the target vector diagram by an identifier embedding module, converting the tracing identifier into a data stream, and then storing the vector diagram containing the tracing identifier to the client.
Embedding the tracing identifier into the vector diagram is completed at the server side, and when the tracing identifier is embedded, the characteristic that the polar coordinate angle is unchanged by taking the centroid as the origin is required.
The login information of the user corresponds to a tracing identifier randomly distributed by a server, and because a vector diagram (a labeled region) has coordinate information, the coordinate information needs to be converted into polar coordinate information, the labeled region is ordered counterclockwise (positive direction) according to the polar coordinate information from the vertical upper part of a mass center during downloading, and the labeled region is sequentially embedded in sequence.
After embedding the tracing identifier into the identifier area of the vector image, watermark embedding of the vector image is completed and can be downloaded to the client.
The embodiment of the application also discloses a vector image watermark tracing system, which comprises a feature acquisition unit, a comparison screening unit, an image sorting unit, an image correction unit, a feature calculation unit and a coding extraction unit, wherein the image sorting unit further comprises a Hash coding subunit and a Hamming sorting subunit.
The present application also discloses a method for tracing a vector diagram watermark, which is described with reference to fig. 2 in combination with fig. 2 and a system for tracing a vector diagram watermark.
The tracing method comprises the following steps:
step one, a characteristic obtaining unit obtains characteristic information of a target bitmap and an image to be retrieved.
Before obtaining the characteristic information, a user firstly carries out screenshot through a client side, and a target bitmap is obtained through preprocessing.
Generally, an image to be processed is obtained through screenshot, after screenshot is carried out, the image occupied by the region of interest is too small and the noise is too much, the whole image region is properly occupied by the region of interest through preprocessing, and the too much noise is properly erased. As described above, the feature acquisition convolutional neural network (python) of the bitmap acquires feature information.
And step two, a comparison screening unit is used for comparing the target bitmap with the characteristic information of the image to be retrieved and screening a plurality of target images related to the image to be retrieved from the target bitmap.
The step of comparing the target bitmap with the characteristic information of the image to be retrieved specifically comprises the following steps: and calculating the characteristic information of the image to be retrieved and the characteristic information in the characteristic library based on the cosine distance, and preliminarily screening a plurality of target images related to the image to be retrieved from a target bitmap.
And thirdly, the image sorting unit sorts the relevance of the target images according to the characteristic difference of the bitmap and the vector diagram, selects one target image for tracing, and transmits the vector diagram to the client.
The characteristic difference of the vector diagram and the bitmap comprises one or more items of difference information of line thickness, position offset, noise and scaling.
Based on the image to be retrieved, performing hash coding on each target image through the hash coding subunit respectively, including: the method comprises the steps of reducing the size of a picture, converting the picture into a gray-scale image, calculating a gray-scale mean value, calculating a difference value to obtain a binary image, and converting the binary image into a hash value fingerprint.
And carrying out relevance sorting on the top100 of the target image through a Hamming distance by a Hamming sorting subunit based on the Hash coding result.
And fourthly, after the target images are sequenced, the image correction unit corrects the target images and the images to be retrieved to obtain images with more accurate results.
And step five, the characteristic calculation unit calculates the angle change of the target image and sorts the angle change along the positive direction.
The calculation process is based on a polar coordinate system with the origin of the mass center and the same characteristic points of the marked region.
The specific calculation process of the above process includes:
1. making Gauss blur (Gauss pyramid) of different scales for image
L(x，y，δ)＝G(x，y，δ)*I(x，y)
G (x, y, delta) is a Gaussian function delta of varying scale
I (x, y) is the original image.
2. Down-sampling of images (alternate sampling)
M, N denotes the original image size, and t denotes the log of the smallest dimension of the last layer image.
3. And subtracting the adjacent upper and lower layers of images in each group of the Gaussian pyramid to obtain a Gaussian difference image.
4. Finding extreme points of a DOG function
DOG function:
G(x，y，kδ)-G(x，y，δ)
5. by passing
Reserving key points;
wherein:
Tr(H)＝Dxx+Dyy＝α+β
Det(H)＝DxxDyy-(Dxy)2＝αβ
the eigenvalues α β of H represent gradients in the x and y directions.
6. And for the key points detected in the DOG pyramid, acquiring the gradient and direction distribution characteristics of pixels in a 3 delta neighborhood window of the Gaussian pyramid image where the key points are located.
7. The key point is described by a group of vectors containing position, scale and direction information
8. A sample containing 4 matched point pairs is randomly chosen from the sample set.
9. A transformation matrix M is calculated from the 4 pairs of matching points.
10. A consistent set satisfying the current transformation matrix is calculated according to the sample set, the transformation matrix M and the error metric function.
11. And updating the current error probability p, and if p is greater than the allowed minimum error probability, repeating (9) to (10) to continue iteration until the current error probability p is less than the minimum error probability.
12. And 4 feature points are selected, perspective transformation is carried out, and the target bitmap is transformed to be in the same size direction with the retrieval image.
13. And acquiring the mass centers of the two images to establish a polar coordinate system, acquiring a plurality of same characteristics of each pair of marked areas, calculating the angle mean difference, and calculating according to an embedding inverse process to obtain the tracing identifier.
And step six, the code extraction unit acquires the ordered codes according to the ordering of the angle changes obtained in the process, extracts the user information according to the codes, and realizes the source tracing process of obtaining the required user information according to the bitmap after obtaining the required user information.
It should be noted that, for convenience of reading, the description of step one, step two, step three, etc. does not indicate that step two must be executed after step one is executed, and does not exclude that other steps are executed between step one and step two.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A vector image watermark embedding method, characterized in that said method comprises the steps of,
extracting the characteristic information of the bitmap to be retrieved;
calculating and retrieving a target vector diagram according to the feature information of the bitmap to be retrieved and the existing feature information;
acquiring user login information, and matching a tracing identifier according to the user login information;
and embedding the tracing identifier into a labeling area of the target vector diagram, and converting the tracing identifier into a data stream.
2. The vector graphics watermark embedding method of claim 1, wherein said embedding method further comprises, building a feature library,
and after extracting the feature information of the bitmap to be retrieved, storing the feature information into the feature library.
3. The vector graphics watermark embedding method of claim 1, characterized in that the tracing identifier is embedded in the marked area of the target vector graphics, and after converting into a data stream, the vector graphics with the tracing identifier is stored to the client.
4. A vector image watermark embedding system, the embedding system comprising:
the characteristic extraction module is used for extracting the characteristic information of the bitmap to be retrieved;
the calculation retrieval module is used for calculating and retrieving a target vector diagram according to the feature information of the bitmap to be retrieved and the existing feature information;
the identification matching module is used for acquiring user login information and matching the tracing identification according to the user login information;
and the identification embedding module is used for embedding the tracing identification into the labeling area of the target vector diagram and converting the tracing identification into a data stream.
5. A vector diagram watermark tracing method is characterized by comprising the following steps:
acquiring a target bitmap and characteristic information of an image to be retrieved;
comparing the target bitmap with the characteristic information of the image to be retrieved, and screening out a plurality of target images related to the image to be retrieved from the target bitmap;
sequencing the target images according to the characteristic difference of the bitmap and the vector diagram;
calculating the angle change of the target image and sequencing the angle change along a positive direction;
and obtaining ordered codes according to the sorting of the angle change, extracting user information according to the codes, and realizing tracing.
6. The vector graphics watermark tracing method of claim 5, wherein said target image is image rectified after said target bitmap is ordered according to the difference in characteristics of bitmap and said vector graphics.
7. The vector graphics watermark tracing method of claim 5, wherein sorting the target images specifically comprises:
performing hash coding on each target image according to the image to be retrieved;
and carrying out relevancy sorting on the target images through Hamming distance according to the Hash coding result.
8. A vector graphics watermark tracing system, the tracing system comprising:
the characteristic acquisition unit is used for acquiring a target bitmap and characteristic information of an image to be retrieved;
the comparison screening unit is used for comparing the target bitmap with the characteristic information of the image to be retrieved and screening a plurality of target images related to the image to be retrieved from the target bitmap;
the image sorting unit is used for sorting the target images according to the characteristic difference of the bitmap and the vector diagram;
the characteristic calculation unit is used for calculating the angle change of the target image and sequencing the angle change along a positive direction;
and the code extraction unit is used for acquiring the ordered codes according to the sorting of the angle change, extracting the user information according to the codes and realizing the tracing.
9. A vector graphics watermark tracing system according to claim 8. The tracing system is characterized by further comprising an image rectification unit, wherein the image rectification unit is used for carrying out image rectification on the target image.
10. A vector graphics watermark tracing system according to claim 8. Wherein the image sorting unit comprises a Hash coding sub-unit and a Hamming sorting sub-unit,
the Hash coding subunit is used for respectively carrying out Hash coding on each target image according to the image to be retrieved;
and the Hamming sorting subunit is used for sorting the correlation degree of the target image through the Hamming distance according to the result of the Hash coding.
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