CN106303756A - A kind of method and device for video copyright protecting - Google Patents
A kind of method and device for video copyright protecting Download PDFInfo
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- CN106303756A CN106303756A CN201610885342.5A CN201610885342A CN106303756A CN 106303756 A CN106303756 A CN 106303756A CN 201610885342 A CN201610885342 A CN 201610885342A CN 106303756 A CN106303756 A CN 106303756A
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- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000000605 extraction Methods 0.000 claims abstract description 17
- 230000008569 process Effects 0.000 claims abstract description 15
- 238000007621 cluster analysis Methods 0.000 claims description 32
- 230000008859 change Effects 0.000 claims description 18
- 239000000284 extract Substances 0.000 claims description 14
- 230000000739 chaotic effect Effects 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 10
- 238000013507 mapping Methods 0.000 claims description 6
- 238000001228 spectrum Methods 0.000 claims description 6
- 239000000203 mixture Substances 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 description 9
- 230000011218 segmentation Effects 0.000 description 6
- 238000011160 research Methods 0.000 description 4
- 238000013459 approach Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000010008 shearing Methods 0.000 description 2
- 230000001154 acute effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/835—Generation of protective data, e.g. certificates
- H04N21/8358—Generation of protective data, e.g. certificates involving watermark
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23211—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with adaptive number of clusters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
- G06F21/16—Program or content traceability, e.g. by watermarking
-
- 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
Abstract
The invention discloses a kind of method and apparatus for video copyright protecting, the method includes S1: use clustering method to obtain the key frame in pre-setting video；S2: use discrete cosine transform to extract the eigenvalue of described key frame；S3: treat the watermarking images being embedded in described key frame and be encrypted, generates watermark ciphertext；S4: eigenvalue and described watermark ciphertext to described key frame carry out XOR process, generate the zero watermarking for identifying described pre-setting video, are registered in data base by described zero watermarking.The method according to the intensity of variation of its content, can adaptively determine the threshold value needed for cluster, such as the number etc. of key frame in the camera lens split, it is not necessary to predefined any threshold value.Then dynamic Unsupervised clustering algorithm automatic Key Frame Extraction is used.This method chooses the redundancy of information represented by key frame in reducing a camera lens significantly, thus improves the accuracy realizing Zero watermarking method in video.
Description
Technical field
The invention belongs to technical field of digital copyright protection, be specifically related to a kind of method for video copyright protecting and dress
Put.
Background technology
Along with development and the continuous progress of human lives of science and technology, multimedia technology has obtained increasingly being widely applied,
Multimedia (such as video, audio frequency, image, text etc.) information also plays the most important angle in our daily life
Color.Thus, the property right protection of video becomes the focus of people's research gradually.Zero watermarking as one not to original video image data
The new digital digital watermark modified has obtained the extensive concern of people.But zero watermarking technology develops to become not enough at present
Ripe, video is the biggest as its variability of communications media of a kind of complexity, it would be desirable to the place of research is the most a lot.
Modern agriculture science popularization series video: existing modern agriculture science popularization series video is colleges and universities and scientific research institutions' record mostly
The lecture class video of system, these videos have passed through the later stage compilation of specialty, shooting angle, light and color the most more specification.Depending on
Frequency mainly has a following characteristics: 1) impact of luminance video and saturation can be ignored, based on colourity, the suitableeest for this kind of video
Close by color characteristic, realize shot segmentation by calculating color histogram difference.2) modern agriculture science popularization lecture class video
Shot change is sudden change mostly, but there is also fade effect, so shot boundary detector scheme is required to detect prominent simultaneously
Become and gradual change.3) object video is single, and main body only has crops, and picture does not has motion feature；Video with explanation is the most mostly
Main, do not wear captions, therefore without considering the relation of captions and segmentation.4) picture is without motion feature, during video camera recorded video without
Acute variation, does not results in the histogrammic sudden change of frame of video and causes flase drop.
Digital watermark technology: digital watermark technology is that some identification informations (i.e. digital watermarking) are directly embedded into digital carrier
In the middle of, but do not affect the use value of original vector, also it is not easy perceived by the consciousness system of people or notice.Hidden by these
Information in the carrier, can reach confirm creator of content, buyer, transmission secret information or judge whether carrier is usurped
The purpose such as change.Digital watermarking is an important research direction of Information Hiding Techniques.
In existing digital watermark, the redundancy in video lens is too much, and the efficiency of watermark structure is low.
Summary of the invention
The technical problem to be solved is that the redundancy how solved in prior art in video lens is too much,
The inefficient problem of watermark structure.
For above technical problem, the invention provides a kind of method for video copyright protecting, including:
S1: use clustering method to obtain the key frame in pre-setting video；
S2: use discrete cosine transform to extract the eigenvalue of described key frame；
S3: treat the watermarking images being embedded in described key frame and be encrypted, generates watermark ciphertext；
S4: the eigenvalue of described key frame and described watermark ciphertext are carried out XOR process, generate be used for identifying described pre-
The zero watermarking of setting video, is registered to described zero watermarking in data base.
Alternatively, described step S1 includes:
S11: read each two field picture in described pre-setting video, extract the characteristic vector of each two field picture；
S12: according to the characteristic vector of each two field picture, with the similarity of the image of adjacent two interframe as sample, one-dimensional
Data space carries out cluster analysis；
S13: use ISODATA algorithm that each two field picture in described pre-setting video carries out Dynamic Cluster Analysis, wherein,
Threshold value in described Dynamic Cluster Analysis determines according to described cluster analysis；
S14: obtain the nearest frame of the central point of each class in described Dynamic Cluster Analysis as described pre-setting video
In key frame.
Alternatively, described step S2 includes:
S21: described key frame carries out the piecemeal of 8 × 8 according to brightness, carries out the 2-D discrete cosine of 8 × 8 to each piece
Conversion, obtains the DC coefficient of each piece；
S22: after carrying out Arnold mapping scramble image for the DC coefficient obtained, carries out the one-dimensional discrete cosine change of 1 × 4
Change, obtain AC coefficient；
S23: extract the eigenvalue of described key frame according to AC coefficient.
Alternatively, described step S3 includes:
Obtain the bianry image of described watermarking images, be one-dimensional binary sequence by the scanning of described bianry image, and to described
One-dimensional binary sequence carries out spread processing；
Use Logistic to map and generate binary chaotic sequence；
One-dimensional binary sequence after described binary chaotic sequence and spread spectrum is carried out XOR process, generates described watermark close
Literary composition.
On the other hand, present invention also offers a kind of device for video copyright protecting, including:
Acquisition module, for using clustering method to obtain the key frame in pre-setting video；
Extraction module, for using discrete cosine transform to extract the eigenvalue of described key frame；
Watermark encrypting module, is encrypted for treating the watermarking images being embedded in described key frame, generates water
Print ciphertext；
Processing module, for eigenvalue and the described watermark ciphertext of described key frame are carried out XOR process, generation is used for
Identify the zero watermarking of described pre-setting video, described zero watermarking is registered in data base.
Alternatively, described acquisition module is additionally operable to:
Read each two field picture in described pre-setting video, extract the characteristic vector of each two field picture；
According to the characteristic vector of each two field picture, with the similarity of the image of adjacent two interframe as sample, at one-dimensional data
Space carries out cluster analysis；
Use ISODATA algorithm that each two field picture in described pre-setting video is carried out Dynamic Cluster Analysis, wherein, described
Threshold value in Dynamic Cluster Analysis determines according to described cluster analysis；
Obtain the nearest frame of the central point of each class in described Dynamic Cluster Analysis as in described pre-setting video
Key frame.
Alternatively, described extraction module is additionally operable to:
Described key frame is carried out according to brightness the piecemeal of 8 × 8, each piece is carried out the 2-D discrete cosine change of 8 × 8
Change, obtain the DC coefficient of each piece；
After carrying out Arnold mapping scramble image for the DC coefficient obtained, carry out the one-dimensional discrete cosine transform of 1 × 4,
Obtain AC coefficient；
The eigenvalue of described key frame is extracted according to AC coefficient.
Alternatively, described watermark encrypting module is additionally operable to:
Obtain the bianry image of described watermarking images, be one-dimensional binary sequence by the scanning of described bianry image, and to described
One-dimensional binary sequence carries out spread processing；
Use Logistic to map and generate binary chaotic sequence；
One-dimensional binary sequence after described binary chaotic sequence and spread spectrum is carried out XOR process, generates described watermark close
Literary composition.
In the method and apparatus for video copyright protecting that the present invention provides, the method uses clustering method to obtain
Key frame, obtains the threshold value of dynamic clustering by cluster analysis, can be in the camera lens split, according to the change journey of its content
Degree, adaptively determines the threshold value needed for cluster, such as the number etc. of key frame, it is not necessary to predefined any threshold value.Then use dynamic
The Unsupervised clustering algorithm automatic Key Frame Extraction of state.This method chooses key frame institute in reducing a camera lens significantly
The redundancy of expression information, thus improve the accuracy realizing Zero watermarking method in video.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is this
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to root
Other accompanying drawing is obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the method for video copyright protecting that one embodiment of the invention provides；
Fig. 2 is the structured flowchart of the device for video copyright protecting that another embodiment of the present invention provides.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
The a part of embodiment of the present invention rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under not making creative work premise, broadly falls into the scope of protection of the invention.
Fig. 1 is the schematic flow sheet of the method for video copyright protecting that the present embodiment provides, and sees Fig. 1, the method
Including:
S1: use clustering method to obtain the key frame in pre-setting video；
S2: use discrete cosine transform to extract the eigenvalue of described key frame；
S3: treat the watermarking images being embedded in described key frame and be encrypted, generates watermark ciphertext；
S4: the eigenvalue of described key frame and described watermark ciphertext are carried out XOR process, generate be used for identifying described pre-
The zero watermarking of setting video, is registered to described zero watermarking in data base.
It should be understood that zero watermarking technology refers to first special by certain for certain information characterizing characteristics of image
Fixed algorithm extracts, and is then combined with this information by the identification information of author in the way of certain specifies, forms a note
The watermark information of volume, is finally registered to this watermark information in third-party intellectual property information data base.Due to zero watermarking side
Digital watermarking in case is registered with in third-party digital watermark information data base rather than is embedded in Digital Media, because of
The most there is not Digital Media Quality Down or the problem such as watermark amount is restricted in this.
On the other hand, when having digital carrier works to need to make copyright to judge, first pass through certain algorithmic approach and extract
The characteristic quantity of works to be detected, then by the identification information of original author with the works characteristic quantity extracted with former regulation algorithmic approach
In conjunction with, obtain a new watermark information, it is judged that this watermark information and registration in third party intellectual property information data base
The similarity of watermark information, if similarity is minimum, then it is assumed that works to be detected are not former registered works, otherwise are considered
The works of original author.
The method that the present embodiment is provided is, camera lens more for redundancy in modern agriculture science popularization video video camera lens
Between switching substantially, key frame of video extract what features such as being different from ordinary video extraction method of key frame proposed, be used for realizing existing
Copyright protection for Agricultural Popular Science series video.After have studied methods of video segmentation based on cluster and digital watermarking, combining
Zero-digital watermarking method is improved on the basis of modern agriculture science popularization series video characteristics of pictures.Method after improvement is different from biography
The zero watermarking algorithm of system, it is to avoid frame number is discontinuous and camera lens erroneous segmentation is likely to result in key frame extraction is improper
Problem, also solves existing lens clustering method and is not suitable for the problem of modern agriculture science popularization series video, and be different from biography
The digital watermark technology of system, zero watermarking is a kind of sightless digital watermarking, so that this video copyright protecting method is more
There is specific aim.
The method for video copyright protecting that the present embodiment provides uses clustering method to obtain key frame, by poly-
Alanysis obtains the threshold value of dynamic clustering, can be in the camera lens split, according to the intensity of variation of its content, the most really
Threshold value needed for fixed cluster, such as the number etc. of key frame, it is not necessary to predefined any threshold value.Then dynamic Unsupervised clustering is used
Algorithm automatic Key Frame Extraction.This method chooses the redundancy of information represented by key frame in reducing a camera lens significantly
Degree, thus improve the accuracy realizing Zero watermarking method in video.
Further, described step S1 includes:
S11: read each two field picture in described pre-setting video, extract the characteristic vector of each two field picture；
S12: according to the characteristic vector of each two field picture, with the similarity of the image of adjacent two interframe as sample, one-dimensional
Data space carries out cluster analysis；
S13: use ISODATA algorithm that each two field picture in described pre-setting video carries out Dynamic Cluster Analysis, wherein,
Threshold value in described Dynamic Cluster Analysis determines according to described cluster analysis；
S14: obtain the nearest frame of the central point of each class in described Dynamic Cluster Analysis as described pre-setting video
In key frame.
Further, described step S2 includes:
S21: described key frame carries out the piecemeal of 8 × 8 according to brightness, carries out the 2-D discrete cosine of 8 × 8 to each piece
Conversion, obtains the DC coefficient of each piece；
S22: after carrying out Arnold mapping scramble image for the DC coefficient obtained, carries out the one-dimensional discrete cosine change of 1 × 4
Change, obtain AC coefficient；
S23: extract the eigenvalue of described key frame according to AC coefficient.
Further, described step S3 includes:
Obtain the bianry image of described watermarking images, be one-dimensional binary sequence by the scanning of described bianry image, and to described
One-dimensional binary sequence carries out spread processing；
Use Logistic to map and generate binary chaotic sequence；
One-dimensional binary sequence after described binary chaotic sequence and spread spectrum is carried out XOR process, generates described watermark close
Literary composition.
As specific embodiment, the method includes:
Step 1: the extraction of key frame in video, for extracting the key frame in video, carries out camera lens on video sequence
Segmentation, then the key frame of camera lens content is gone out to represent in camera lens internal extraction.
Step 2: the process of key frame images, for the key frame piecemeal in video, and carry out two-dimensional dct transform (from
Dissipate cosine transform), the DC coefficient extracting each piece carries out one-dimensional dct transform.
Step 3: the encryption of watermarking images, generates watermark ciphertext after encryption by watermarking images.
Step 4: the structure of zero watermarking, carries out XOR process by watermark ciphertext with the eigenvalue extracted in step 2, is formed
Zero watermarking, is registered in IPR data base.
This video key frame extracting method, for extracting the key frame in modern agriculture science popularization series video, studied this
In series video camera lens, redundancy is more, switching is substantially between camera lens, key frame of video extracts and be different from ordinary video key frame
After the characteristic of extracting method, according to its characteristic, first video sequence carries out shot segmentation, then goes out to represent mirror in camera lens internal extraction
The key frame of head content.
The method can effectively be applicable to Agricultural Popular Science series video, on the basis of not revising original video can gram
Take the efficiency of existing zero watermarking construction algorithm, and while improving video watermark robustness, withstand H.264,
MPEG-4 compresses, and noise supplies, filtering, and frame shearing etc. is attacked.
Can effectively solve the problem that in Agricultural Popular Science series video camera lens that redundancy is more, switching is substantially between camera lens, video closes
Key frame extracts and is different from ordinary video extraction method of key frame, and the watermark occurred when balancing conventional video digital watermark embedding
Contradiction between robustness and video definition, does not change any video data.
The method improving copyright authentication protection, improves structure efficiency and the accuracy of algorithm, can keep out H.264,
MPEG-4 compresses, and noise supplies, filtering, and frame shearing etc. is attacked.
On the other hand, see Fig. 2, present embodiments provide a kind of device 20 for video copyright protecting, including obtaining
Module 21, extraction module 22, watermark encrypting module 23 and processing module 24, wherein,
Acquisition module 21, for using clustering method to obtain the key frame in pre-setting video；
Extraction module 22, for using discrete cosine transform to extract the eigenvalue of described key frame；
Watermark encrypting module 23, is encrypted for treating the watermarking images being embedded in described key frame, generates
Watermark ciphertext；
Processing module 24, for the eigenvalue of described key frame and described watermark ciphertext are carried out XOR process, generates and uses
In the zero watermarking of the described pre-setting video of mark, described zero watermarking is registered in data base.
In the device for video copyright protecting that the present invention provides, use clustering method to obtain key frame, pass through
Cluster analysis obtains the threshold value of dynamic clustering, can be in the camera lens split, according to the intensity of variation of its content, adaptively
Determine the threshold value needed for cluster, such as the number etc. of key frame, it is not necessary to predefined any threshold value.Then use dynamic poly-without supervision
Class algorithm automatic Key Frame Extraction.This method chooses the superfluous of information represented by key frame in reducing a camera lens significantly
Remaining, thus improve the accuracy realizing Zero watermarking method in video.
Further, described acquisition module is additionally operable to:
Read each two field picture in described pre-setting video, extract the characteristic vector of each two field picture；
According to the characteristic vector of each two field picture, with the similarity of the image of adjacent two interframe as sample, at one-dimensional data
Space carries out cluster analysis；
Use ISODATA algorithm that each two field picture in described pre-setting video is carried out Dynamic Cluster Analysis, wherein, described
Threshold value in Dynamic Cluster Analysis determines according to described cluster analysis；
Obtain the nearest frame of the central point of each class in described Dynamic Cluster Analysis as in described pre-setting video
Key frame.
Further, described extraction module is additionally operable to:
Described key frame is carried out according to brightness the piecemeal of 8 × 8, each piece is carried out the 2-D discrete cosine change of 8 × 8
Change, obtain the DC coefficient of each piece；
After carrying out Arnold mapping scramble image for the DC coefficient obtained, carry out the one-dimensional discrete cosine transform of 1 × 4,
Obtain AC coefficient；
The eigenvalue of described key frame is extracted according to AC coefficient.
Further, described watermark encrypting module is additionally operable to:
Obtain the bianry image of described watermarking images, be one-dimensional binary sequence by the scanning of described bianry image, and to described
One-dimensional binary sequence carries out spread processing；
Use Logistic to map and generate binary chaotic sequence；
One-dimensional binary sequence after described binary chaotic sequence and spread spectrum is carried out XOR process, generates described watermark close
Literary composition.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, that is made any repaiies
Change, equivalent, improvement etc., should be included within the scope of the present invention.
Claims (8)
1. the method for video copyright protecting, it is characterised in that including:
S1: use clustering method to obtain the key frame in pre-setting video；
S2: use discrete cosine transform to extract the eigenvalue of described key frame；
S3: treat the watermarking images being embedded in described key frame and be encrypted, generates watermark ciphertext；
S4: eigenvalue and described watermark ciphertext to described key frame carry out XOR process, generation is used for identifying described presetting and regards
The zero watermarking of frequency, is registered to described zero watermarking in data base.
2. according to the method described in claim 1, it is characterised in that described step S1 includes:
S11: read each two field picture in described pre-setting video, extract the characteristic vector of each two field picture；
S12: according to the characteristic vector of each two field picture, with the similarity of the image of adjacent two interframe as sample, at one-dimensional data
Space carries out cluster analysis；
S13: use ISODATA algorithm that each two field picture in described pre-setting video is carried out Dynamic Cluster Analysis, wherein, described
Threshold value in Dynamic Cluster Analysis determines according to described cluster analysis；
S14: obtain the nearest frame of the central point of each class in described Dynamic Cluster Analysis as in described pre-setting video
Key frame.
3. according to the method described in claim 2, it is characterised in that described step S2 includes:
S21: described key frame carries out the piecemeal of 8 × 8 according to brightness, carries out the 2-D discrete cosine change of 8 × 8 to each piece
Change, obtain the DC coefficient of each piece；
S22: after carrying out Arnold mapping scramble image for the DC coefficient obtained, carry out the one-dimensional discrete cosine transform of 1 × 4,
Obtain AC coefficient；
S23: extract the eigenvalue of described key frame according to AC coefficient.
4. according to the method described in claim 3, it is characterised in that described step S3 includes:
Obtain the bianry image of described watermarking images, be one-dimensional binary sequence by the scanning of described bianry image, and to described one-dimensional
Binary sequence carries out spread processing；
Use Logistic to map and generate binary chaotic sequence；
One-dimensional binary sequence after described binary chaotic sequence and spread spectrum is carried out XOR process, generates described watermark ciphertext.
5. the device for video copyright protecting, it is characterised in that including:
Acquisition module, for using clustering method to obtain the key frame in pre-setting video；
Extraction module, for using discrete cosine transform to extract the eigenvalue of described key frame；
Watermark encrypting module, is encrypted for treating the watermarking images being embedded in described key frame, generates watermark close
Literary composition；
Processing module, for the eigenvalue of described key frame and described watermark ciphertext are carried out XOR process, generates and is used for identifying
The zero watermarking of described pre-setting video, is registered to described zero watermarking in data base.
6. according to the device described in claim 5, it is characterised in that described acquisition module is additionally operable to:
Read each two field picture in described pre-setting video, extract the characteristic vector of each two field picture；
According to the characteristic vector of each two field picture, with the similarity of the image of adjacent two interframe as sample, in one-dimensional data space
In carry out cluster analysis；
Use ISODATA algorithm that each two field picture in described pre-setting video carries out Dynamic Cluster Analysis, wherein, described dynamically
Threshold value in cluster analysis determines according to described cluster analysis；
Obtain the nearest frame of the central point of each class in described Dynamic Cluster Analysis as the key in described pre-setting video
Frame.
7. according to the device described in claim 6, it is characterised in that described extraction module is additionally operable to:
Described key frame is carried out according to brightness the piecemeal of 8 × 8, each piece is carried out the two-dimension discrete cosine transform of 8 × 8, obtains
Take the DC coefficient of each piece；
After carrying out Arnold mapping scramble image for the DC coefficient obtained, carry out the one-dimensional discrete cosine transform of 1 × 4, obtain
AC coefficient；
The eigenvalue of described key frame is extracted according to AC coefficient.
8. according to the device described in claim 7, it is characterised in that described watermark encrypting module is additionally operable to:
Obtain the bianry image of described watermarking images, be one-dimensional binary sequence by the scanning of described bianry image, and to described one-dimensional
Binary sequence carries out spread processing；
Use Logistic to map and generate binary chaotic sequence；
One-dimensional binary sequence after described binary chaotic sequence and spread spectrum is carried out XOR process, generates described watermark ciphertext.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107222749A (en) * | 2017-06-21 | 2017-09-29 | 同济大学 | A kind of chaos code constructing method for wireless video transmission |
| CN109218752A (en) * | 2017-06-30 | 2019-01-15 | 中国电信股份有限公司 | Video playing, offer and detection method and set-top box, media server and system |
| CN114268845A (en) * | 2021-12-21 | 2022-04-01 | 中国电影科学技术研究所 | Real-time watermark adding method for 8K ultra-high-definition video based on heterogeneous operation |
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