CN114186086A - Screen projection method, system and storage medium for pre-audit image - Google Patents

Screen projection method, system and storage medium for pre-audit image Download PDF

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Publication number
CN114186086A
CN114186086A CN202111460501.4A CN202111460501A CN114186086A CN 114186086 A CN114186086 A CN 114186086A CN 202111460501 A CN202111460501 A CN 202111460501A CN 114186086 A CN114186086 A CN 114186086A
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China
Prior art keywords
image data
screen projection
image
data
projection terminal
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Inventor
黄超生
林少鹏
林源泽
柯江伟
林李凤
连善宇
张建镕
廖泓昊
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Ruishen Netan Fujian Information Technology Co ltd
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Ruishen Netan Fujian Information Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06F16/51—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06F16/55—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/018—Certifying business or products
    • G06Q30/0185—Product, service or business identity fraud
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • 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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/234—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs
    • H04N21/2347—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving video stream encryption
    • 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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
    • H04N21/26258—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/435—Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
    • H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
    • H04N21/44016—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving splicing one content stream with another content stream, e.g. for substituting a video clip
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
    • H04N21/4405—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving video stream decryption

Abstract

The invention discloses a screen projection method, a screen projection system and a storage medium for a pre-approved image, wherein the method comprises the following steps: s01, constructing an image database, wherein the image database is used for storing the audited image data; s02, acquiring image data to be checked, importing the image data into a neural network for image detection, and outputting a detection result; s03, according to the detection result, encrypting the image data meeting the preset requirement and storing the image data into an image database to generate a unique code, extracting the non-compliant content of the image data not meeting the preset requirement, generating abnormal data and feeding back the abnormal data; s04, responding to an image screen projection request of the screen projection terminal, generating a key and an image data address which are in one-to-one correspondence with the image data, and issuing the key and the image data address to the screen projection terminal; s05, the screen projection terminal downloads the image data according to the image data address, and then plays the image data after decrypting the image data according to the secret key.

Description

Screen projection method, system and storage medium for pre-audit image
Technical Field
The invention relates to the technical field of screen projection, in particular to a screen projection method, a screen projection system and a storage medium for pre-auditing images.
Background
The video projection screen is used as a data playing and transmitting technology at a hot time, and with the increasing of playing materials, the quantity of the high-quality playing materials is more and more, the video projection screen is also becoming a more and more popular playing means for multiple users, however, on the basis of the mass playing materials, the abnormal playing contents doped in the mass playing materials are increasing day by day, especially some of the contents with yellow-related, terrorist-related or storm-related images are mixed in the mass playing materials, the social negative images brought by the system are very huge, although most current social media and image service platforms are provided with image auditing mechanisms, most of the social media and image service platforms are monitored afterwards, and when a screen projection terminal plays image data points, the situation that the material is replaced may exist, so how to improve the auditing reliability of the image screen projection content and the safety of remote screen projection is a problem with practical significance.
Disclosure of Invention
In view of the above, the present invention provides a method, a system and a storage medium for projecting a pre-audit image, which are reliable in implementation and good in data security.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
a screen projection method for a pre-review image comprises the following steps:
s01, constructing an image database, wherein the image database is used for storing the audited image data;
s02, acquiring image data to be checked, importing the image data into a neural network for image detection, and outputting a detection result;
s03, according to the detection result, encrypting the image data meeting the preset requirement and storing the image data into an image database to generate a unique code, extracting the non-compliant content of the image data not meeting the preset requirement, generating abnormal data and feeding back the abnormal data;
s04, responding to an image screen projection request of the screen projection terminal, generating a key and an image data address which are in one-to-one correspondence with the image data, and issuing the key and the image data address to the screen projection terminal;
and S05, downloading the image data by the screen projection terminal according to the image data address, and then decrypting and playing the image data according to the secret key.
As a possible implementation manner, the method for extracting the non-compliant content from the video data that does not meet the preset requirement in S03 includes: and extracting time node information and image frames of the non-compliant content in the image data to generate abnormal data.
As a preferred implementation option, preferably, S02 includes:
s021, acquiring image data to be audited, dividing the image data into image frames, and then performing character content extraction and image feature positioning on the image frames to generate character data to be audited and image data to be audited;
s022, importing the character data to be detected and the image data to be detected into a neural network for detection, and obtaining detection results corresponding to the character data to be detected and the image data to be detected one by one;
s023, obtaining all detection results of a single image data to be audited, outputting a compliance conclusion as a detection result when all the detection results accord with a preset condition, and outputting character data to be inspected and/or image data to be inspected and the non-compliance conclusion which do not accord with the preset condition as the detection result when the detection results do not accord with the preset condition.
As a preferred implementation choice, in S022, preferably, the detection result includes classification information of the text to be detected data and the image to be detected data, the classification information includes image classification information and text classification information,
wherein the image classification information includes: the image anomaly classification comprises more than one fine classification of pornography, gambling, violence, bloody smell and thriller;
the character classification information includes: the method comprises the steps of character normal classification and character abnormal classification, wherein the character abnormal classification comprises more than one of erotic, gambling, violence, irrigation, 35881 and curse.
As a preferred implementation choice, S023 specifically includes:
s0231, obtaining all detection results of single image data to be examined;
s0232, counting the classification information frequency of all detection results, judging the classification information frequency according to preset requirements, outputting a compliance conclusion as a detection result when all the detection results meet preset conditions, and outputting and storing a time period preset for 6 months, 1 year or more than 2 years, for example, by taking an appearance time node of the text to be inspected data and/or the image to be inspected data which do not meet the preset conditions in the image data and a non-compliance conclusion as the detection result when the detection results do not meet the preset conditions.
As a preferred implementation choice, in S02, preferably, the acquired image data to be audited is originated from active uploading by a personal user, active uploading by an enterprise organization, or capturing data by the internet, and when the image data is originated from active uploading by a personal user and active uploading by an enterprise organization, the personal user and the enterprise organization are both registered with a unique ID;
the abnormal data generated in the step S03 is fed back to the background server, and when the image data is uploaded by a personal user or an enterprise organization, the ID or IP address uploaded by the image data correspondingly is also recorded; and when the recorded abnormal data of the same ID or IP address reaches a preset requirement, limiting the uploading authority of the image data to the ID or IP address.
As a preferred implementation option, preferably, S03 further includes:
extracting information of all the audited image data in the image database to obtain a program list;
when the image data is collected and put into an image database, the image data is numbered and information is extracted, the extracted information and the extracted number are added into a program list, the program list is issued to a screen projection terminal according to a preset time frequency, wherein when the program list is issued, the program list codes which are already possessed by the screen projection terminal are also acquired,
when the screen projection terminal returns to be empty, the newly generated program list is directly issued to the screen projection terminal,
when the screen projection terminal returns the existing program list codes, the newly generated program list is subjected to content matching with the program list already owned by the screen projection terminal to obtain distinguishing information, new and/or deleted data information is generated according to the distinguishing information and is sent to the screen projection terminal, and the screen projection terminal performs information adjustment and code updating;
in S04, the screen projection terminal initiates an image screen projection request according to the program list.
As a preferred implementation choice, preferably, S04 further includes connecting the screen projection terminal, acquiring screen projection terminal information, and generating a unique code corresponding to the screen projection terminal, where the code is a randomly generated multi-bit digital code;
when responding to an image screen projection request of the screen projection terminal, generating anti-counterfeiting information corresponding to the screen projection terminal according to the code of the screen projection terminal;
in the step S05, when the screen projection terminal downloads the image data according to the image data address, the anti-counterfeit information is added to the image data and is played together when the screen projection terminal plays.
Based on the above scheme, the present invention further provides a screen projection method and device for pre-reviewing images, which comprises:
the server is used for constructing an image database, and the image database is used for storing the audited image data and the playing record;
the data detection module is used for acquiring image data to be checked, importing the image data into a detection neural network for image detection, and outputting a detection result;
the data processing module is used for encrypting the image data meeting the preset requirements according to the detection result, storing the image data into an image database, generating a unique code, extracting the non-compliant content of the image data not meeting the preset requirements, generating abnormal data and feeding back the abnormal data;
the data scheduling unit is used for responding to an image screen projection request of the screen projection terminal, generating a secret key and an image data address which are in one-to-one correspondence with the image data and issuing the secret key and the image data address to the screen projection terminal;
and the screen projection terminal is used for downloading the image data according to the image data address, and then decrypting and playing the image data according to the secret key.
Based on the above scheme, the present invention further provides a computer-readable storage medium, where at least one instruction, at least one program, a code set, or an instruction set is stored in the storage medium, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded by a processor and executed to implement the above-mentioned pre-review image projection method.
By adopting the technical scheme, compared with the prior art, the invention has the beneficial effects that: according to the scheme, the image database is established to store the audited image data, and the screen projection terminal initiates a request to acquire the key and the image data address of the image data, so that the image data is downloaded and decrypted and played, the played image data can be audited, the risk of replacement of the image data can be avoided, and the key is unique and cannot be decrypted and played when the key is not matched with the image data, so that the problem of halfway inter-cut broadcasting does not exist, in addition, the non-compliant content is recorded and extracted, the subsequent source tracing and the origin and reason of the non-compliant content can be conveniently judged, and the service humanization and the safety of the platform are improved; the addition of the anti-counterfeiting information is beneficial to improving the copyright protection and piracy tracing of the image data, and provides technical support for protecting the rights and interests of image data creators.
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, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow diagram of a simplified embodiment of the process of the present invention;
FIG. 2 is a schematic diagram of a system according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be noted that the following examples are only illustrative of the present invention, and do not limit the scope of the present invention. Similarly, the following examples are only some but not all examples of the present invention, and all other examples obtained by those skilled in the art without any inventive work are within the scope of the present invention.
As shown in fig. 1, the present invention provides a screen projection method for pre-review images, which includes:
s01, constructing an image database, wherein the image database is used for storing the audited image data and playing records;
s02, acquiring image data to be checked, importing the image data into a neural network for image detection, and outputting a detection result;
s03, according to the detection result, encrypting the image data meeting the preset requirement and storing the image data into an image database to generate a unique code, extracting the non-compliant content of the image data not meeting the preset requirement, generating abnormal data and feeding back the abnormal data;
s04, responding to an image screen projection request of the screen projection terminal, generating a key and an image data address which are in one-to-one correspondence with the image data, and issuing the key and the image data address to the screen projection terminal;
and S05, downloading the image data by the screen projection terminal according to the image data address, and then decrypting and playing the image data according to the secret key.
In order to facilitate tracing the non-compliant content, the method for extracting the non-compliant content from the image data that does not meet the preset requirement in S03 includes: and extracting time node information and image frames of the non-compliant content in the image data to generate abnormal data.
In the review scheme, as a preferred implementation choice in the present scheme, S02 preferably includes:
s021, acquiring image data to be audited, dividing the image data into image frames, and then performing character content extraction and image feature positioning on the image frames to generate character data to be audited and image data to be audited;
s022, importing the character data to be detected and the image data to be detected into a neural network for detection, and obtaining detection results corresponding to the character data to be detected and the image data to be detected one by one;
s023, obtaining all detection results of a single image data to be audited, outputting a compliance conclusion as a detection result when all the detection results accord with a preset condition, and outputting character data to be inspected and/or image data to be inspected and the non-compliance conclusion which do not accord with the preset condition as the detection result when the detection results do not accord with the preset condition.
Preferably, in S022, the detection result includes classification information of the text to be detected data and the image to be detected data, the classification information includes image classification information and text classification information,
wherein the image classification information includes: the image anomaly classification comprises more than one fine classification of pornography, gambling, violence, bloody smell and thriller;
the character classification information includes: the method comprises the steps of character normal classification and character abnormal classification, wherein the character abnormal classification comprises more than one of erotic, gambling, violence, irrigation, 35881 and curse.
As a preferred implementation choice, S023 specifically includes:
s0231, obtaining all detection results of single image data to be examined;
s0232, counting the classification information frequency of all detection results, judging the classification information frequency according to preset requirements, outputting a compliance conclusion as a detection result when all the detection results meet preset conditions, and outputting and storing a time period preset for 6 months, 1 year or more than 2 years, for example, by taking an appearance time node of the text to be inspected data and/or the image to be inspected data which do not meet the preset conditions in the image data and a non-compliance conclusion as the detection result when the detection results do not meet the preset conditions.
In the training of the neural network detection, the training method of the neural network detection in the present solution S02 is: collecting training materials, marking the training materials, then leading the training materials and the marking results into a neural network for training, and obtaining a detection neural network after the model converges, wherein the training materials comprise character training materials and image characteristic training materials.
In order to facilitate tracing and provide further data environment purification and optimization space, in the scheme, as a preferred implementation choice, in S02, the acquired image data to be audited is originated from active uploading by a personal user, active uploading by an enterprise organization or internet data capture, and when the image data is originated from the active uploading by the personal user and the active uploading by the enterprise organization, the personal user and the enterprise organization are both registered with a unique ID; the abnormal data generated in the step S03 is fed back to the background server, and when the image data is uploaded by a personal user or an enterprise organization, the ID or IP address uploaded by the image data correspondingly is also recorded; and when the recorded abnormal data of the same ID or IP address reaches a preset requirement, limiting the uploading authority of the image data to the ID or IP address.
In order to conveniently and timely issue the checked image data information in the image database to the screen projection terminal and facilitate the screen projection terminal to perform on-demand playing, in the present solution, as a preferred implementation choice, preferably, S03 further includes:
extracting information of all the audited image data in the image database to obtain a program list;
when the image data is collected and put into an image database, the image data is numbered and information is extracted, the extracted information and the extracted number are added into a program list, the program list is issued to a screen projection terminal according to a preset time frequency, wherein when the program list is issued, the program list codes which are already possessed by the screen projection terminal are also acquired,
when the screen projection terminal returns to be empty, the newly generated program list is directly issued to the screen projection terminal,
when the screen projection terminal returns the existing program list codes, the newly generated program list is subjected to content matching with the program list already owned by the screen projection terminal to obtain distinguishing information, new and/or deleted data information is generated according to the distinguishing information and is sent to the screen projection terminal, and the screen projection terminal performs information adjustment and code updating;
in S04, the screen projection terminal initiates an image screen projection request according to the program list.
In order to avoid the loss of rights and interests of owners of copyright of image data caused by the fact that image data issued by screen projection is stolen and recorded or is transmitted by other technical means as a profit purpose, and meanwhile, in order to facilitate tracing and marking the playing condition of the screen projection terminal, in the scheme, S04 is a better implementation choice, preferably, the method further comprises the steps of connecting the screen projection terminal, obtaining information of the screen projection terminal and correspondingly generating a unique code corresponding to the screen projection terminal, wherein the code is a multi-bit digital code generated randomly;
when responding to an image screen projection request of the screen projection terminal, generating anti-counterfeiting information corresponding to the screen projection terminal according to the code of the screen projection terminal;
in the step S05, when the screen projection terminal downloads the image data according to the image data address, the anti-counterfeit information is added to the image data and is played together when the screen projection terminal plays.
In S04, the method for generating the anti-counterfeiting information includes:
(1) acquiring one image frame of the image data, acquiring the resolution of the image frame, and setting the resolution as H multiplied by L, wherein H is the number of pixels in the vertical direction of the image frame, and L is the number of pixels in the horizontal direction of the image frame;
(2) according to the resolution of the image frame, generating a specification of H1×L1The round-corner rectangular block is adjusted to be gray and set as an anti-counterfeiting color block, wherein H1＝0.005～0.01H，L1The standard is 0.005-0.01L, and the anti-counterfeiting color block is used for avoiding poor appearance or attracting attention of viewers due to the fact that the anti-counterfeiting color block occupies an obvious playing picture when appearing, namely, the anti-counterfeiting color block needs to be known by people knowing anti-counterfeiting rules but cannot be noticed by people not knowing the anti-counterfeiting rules;
(3) acquiring the code of the screen projection terminal, then independently dividing the code, sequentially displaying anti-counterfeiting color blocks at intervals of a time axis according to the divided code numbers to generate an anti-counterfeiting image, in the anti-counterfeiting image, the time interval of the second time between the first appearance of the anti-counterfeiting color block and the second appearance of the anti-counterfeiting color block is equal to the first position of the code of the screen projection terminal, the time interval of the second time between the third appearance of the anti-counterfeiting color block and the second appearance of the anti-counterfeiting color block is equal to the second position of the code of the screen projection terminal, and the time interval of the second time between the last appearance of the anti-counterfeiting color block and the last appearance of the anti-counterfeiting color block is equal to the last position of the code of the screen projection terminal (namely, when the code is 123406, the time intervals of the sequentially appearance of the anti-counterfeiting color blocks are 1s, 2s, 3s, 4s, 10s and 6 s).
In the step S05, when the screen projection terminal downloads the image data according to the image data address, the anti-counterfeit information is added to the image data in a manner of merging the video tracks and is displayed at the corners of the image data, and is played together when the screen projection terminal plays.
In order to avoid the anti-counterfeit images interfering with the normal viewing of the projected images during playing, in S04, the anti-counterfeit images are multiple and are inserted into the image data at intervals and displayed at the corners of the image data, the anti-counterfeit images inserted into the image data and the image data share the image time track, and when the anti-counterfeit images are played to the corresponding time track, the anti-counterfeit images are played together.
In order to facilitate statistics of user preferences, the playing records can be recorded through the screen projection terminal, the playing time and frequency of the image data are recorded, then the playing time and frequency are uploaded to the image database, the image database updates the priority of the image data of the program list according to the screen projection terminal, and a user of the screen projection terminal can conveniently order the favorite image data.
As shown in fig. 2, based on the above scheme, the present solution further provides a screen projection method and device for pre-review images, which includes:
the server is used for constructing an image database, and the image database is used for storing the audited image data and the playing record;
the data detection module is used for acquiring image data to be checked, importing the image data into a detection neural network for image detection, and outputting a detection result;
the data processing module is used for encrypting the image data meeting the preset requirements according to the detection result, storing the image data into an image database, generating a unique code, extracting the non-compliant content of the image data not meeting the preset requirements, generating abnormal data and feeding back the abnormal data;
the data scheduling unit is used for responding to an image screen projection request of the screen projection terminal, generating a secret key and an image data address which are in one-to-one correspondence with the image data and issuing the secret key and the image data address to the screen projection terminal;
and the screen projection terminal is used for downloading the image data according to the image data address, and then decrypting and playing the image data according to the secret key.
Based on the above scheme, the present invention further provides a computer-readable storage medium, where at least one instruction, at least one program, a code set, or an instruction set is stored in the storage medium, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded by a processor and executed to implement the above-mentioned pre-review image projection method.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be substantially or partially implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a part of the embodiments of the present invention, and not intended to limit the scope of the present invention, and all equivalent devices or equivalent processes performed by the present invention through the contents of the specification and the drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A screen projection method for pre-review images is characterized by comprising the following steps:
s01, constructing an image database, wherein the image database is used for storing the audited image data;
s02, acquiring image data to be checked, importing the image data into a neural network for image detection, and outputting a detection result;
s03, according to the detection result, encrypting the image data meeting the preset requirement and storing the image data into an image database to generate a unique code, extracting the non-compliant content of the image data not meeting the preset requirement, generating abnormal data and feeding back the abnormal data;
s04, responding to an image screen projection request of the screen projection terminal, generating a key and an image data address which are in one-to-one correspondence with the image data, and issuing the key and the image data address to the screen projection terminal;
and S05, downloading the image data by the screen projection terminal according to the image data address, and then decrypting and playing the image data according to the secret key.
2. The screen projection method of claim 1, wherein the method for extracting non-compliant content from the image data that does not meet the predetermined requirement in S03 comprises: and extracting time node information and image frames of the non-compliant content in the image data to generate abnormal data.
3. The method for screen-projecting of pre-review images of claim 2, wherein S02 includes:
s021, acquiring image data to be audited, dividing the image data into image frames, and then performing character content extraction and image feature positioning on the image frames to generate character data to be audited and image data to be audited;
s022, importing the character data to be detected and the image data to be detected into a neural network for detection, and obtaining detection results corresponding to the character data to be detected and the image data to be detected one by one;
s023, obtaining all detection results of a single image data to be audited, outputting a compliance conclusion as a detection result when all the detection results accord with a preset condition, and outputting character data to be inspected and/or image data to be inspected and the non-compliance conclusion which do not accord with the preset condition as the detection result when the detection results do not accord with the preset condition.
4. The screen projection method for pre-review video of claim 3, wherein in S022, the detection result includes classification information of text inspection data and image inspection data, the classification information includes image classification information and text classification information,
wherein the image classification information includes: the image anomaly classification comprises more than one fine classification of pornography, gambling, violence, bloody smell and thriller;
the character classification information includes: the method comprises the steps of character normal classification and character abnormal classification, wherein the character abnormal classification comprises more than one of erotic, gambling, violence, irrigation, 35881 and curse.
5. The screen projection method for pre-review images of claim 4, wherein S023 specifically includes:
s0231, obtaining all detection results of single image data to be examined;
s0232, counting the classification information frequency of all detection results, judging the classification information frequency according to preset requirements, outputting a compliance conclusion as a detection result when all the detection results meet preset conditions, and outputting and storing an appearance time node and a non-compliance conclusion of the character to-be-detected data and/or the image to-be-detected data which do not meet the preset conditions in the image data as the detection result when the detection results do not meet the preset conditions.
6. The screen projection method for pre-review images as claimed in claim 5, wherein in S02, the acquired image data to be reviewed is from personal user active upload, enterprise organization active upload or internet data capture, and when the image data is from personal user active upload and enterprise organization active upload, the personal user and enterprise organization are both registered with unique ID;
the abnormal data generated in the step S03 is fed back to the background server, and when the image data is uploaded by a personal user or an enterprise organization, the ID or IP address uploaded by the image data correspondingly is also recorded; and when the recorded abnormal data of the same ID or IP address reaches a preset requirement, limiting the uploading authority of the image data to the ID or IP address.
7. The method for screen-projecting of pre-review images of claim 6, wherein S03 further comprises:
extracting information of all the audited image data in the image database to obtain a program list;
when the image data is collected and put into an image database, the image data is numbered and information is extracted, the extracted information and the extracted number are added into a program list, the program list is issued to a screen projection terminal according to a preset time frequency, wherein when the program list is issued, the program list codes which are already possessed by the screen projection terminal are also acquired,
when the screen projection terminal returns to be empty, the newly generated program list is directly issued to the screen projection terminal,
when the screen projection terminal returns the existing program list codes, the newly generated program list is subjected to content matching with the program list already owned by the screen projection terminal to obtain distinguishing information, new and/or deleted data information is generated according to the distinguishing information and is sent to the screen projection terminal, and the screen projection terminal performs information adjustment and code updating;
in S04, the screen projection terminal initiates an image screen projection request according to the program list.
8. The screen projection method of the pre-review image of claim 7, wherein S04 further includes connecting the screen projection terminal, obtaining the screen projection terminal information and generating a unique code corresponding to the screen projection terminal accordingly, the code being a randomly generated multi-bit digital code;
when responding to an image screen projection request of the screen projection terminal, generating anti-counterfeiting information corresponding to the screen projection terminal according to the code of the screen projection terminal;
in the step S05, when the screen projection terminal downloads the image data according to the image data address, the anti-counterfeit information is added to the image data and is played together when the screen projection terminal plays.
9. A screen projection method and device for a pre-audit image is characterized by comprising the following steps:
the server is used for constructing an image database, and the image database is used for storing the audited image data;
the data detection module is used for acquiring image data to be checked, importing the image data into a detection neural network for image detection, and outputting a detection result;
the data processing module is used for encrypting the image data meeting the preset requirements according to the detection result, storing the image data into an image database, generating a unique code, extracting the non-compliant content of the image data not meeting the preset requirements, generating abnormal data and feeding back the abnormal data;
the data scheduling unit is used for responding to an image screen projection request of the screen projection terminal, generating a secret key and an image data address which are in one-to-one correspondence with the image data and issuing the secret key and the image data address to the screen projection terminal;
and the screen projection terminal is used for downloading the image data according to the image data address, and then decrypting and playing the image data according to the secret key.
10. A computer-readable storage medium, characterized in that: the storage medium stores at least one instruction, at least one program, a code set, or a set of instructions, which is loaded and executed by a processor to implement the screen projection method according to any one of claims 1 to 8.
CN202111460501.4A 2021-12-02 2021-12-02 Screen projection method, system and storage medium for pre-audit image Pending CN114186086A (en)

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