CN111831835A - Media data management system based on artificial intelligence - Google Patents

Media data management system based on artificial intelligence Download PDF

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Publication number
CN111831835A
CN111831835A CN202010677415.8A CN202010677415A CN111831835A CN 111831835 A CN111831835 A CN 111831835A CN 202010677415 A CN202010677415 A CN 202010677415A CN 111831835 A CN111831835 A CN 111831835A
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Prior art keywords
data
media data
check code
media
storage area
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Chinese (zh)
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陈雪磊
祝斯佳
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Zhengzhou Bohan Intelligent Technology Co ltd
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Zhengzhou Bohan Intelligent Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/43Querying
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/62Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6227Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database where protection concerns the structure of data, e.g. records, types, queries
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/21Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/2133Verifying human interaction, e.g., Captcha

Abstract

The invention relates to a media data management system based on artificial intelligence, comprising: the device comprises a media data acquisition module, a check code generation module, a data packet storage module, a storage relationship generation module, a media data calling instruction receiving module, a target media data calling module, a check code comparison module and a media data output module. After the media data are obtained, check codes corresponding to various media data are generated, when the media data are called subsequently, the input fourth check code and the called check codes are compared, and only if the two check codes meet a preset relation, the related media information can be obtained, so that the security of media data management is improved, and the data access efficiency and the data storage security are improved by using the private cloud server. Therefore, the media data management system is a reliable and effective media data management system, and can realize reliable and effective management of media data.

Description

Media data management system based on artificial intelligence
Technical Field
The invention relates to a media data management system based on artificial intelligence.
Background
The Chinese media data are classified into three types, namely television audience measurement data, advertisement delivery monitoring data and market and media survey data, wherein the television audience measurement data are acquired in two conventional manners, namely a diary method and a personal monitor method, and the data content comprises the number, the type and the placement location of televisions, audio-visual equipment, channel coverage rate and the like; the advertisement delivery monitoring data comprises monitoring data adopting a traditional monitoring mode, such as television, newspapers and magazines, broadcasting, the Internet and the like, and monitoring data adopting a digital monitoring mode, such as adding codes in the advertisements in advance and recording the data through a related monitor; market and media survey data includes three aspects of data, namely media habits, product usage and lifestyle. The application range of Chinese media data comprises: finding opportunities, program analysis, pricing indicators, and performance assessment. Therefore, the chinese media data includes three types as a whole, each type of data includes specific data, and the application scope and function of the chinese media data are many, and accordingly, the media data needs to be managed. However, currently, there is no reliable and effective management method for media data management, and therefore, a reliable and effective media data management system is needed.
Disclosure of Invention
In order to solve the above problems, the present invention provides a media data management system based on artificial intelligence.
The invention adopts the following technical scheme:
an artificial intelligence based media data management system comprising:
the system comprises a media data acquisition module, a media data acquisition module and a media data processing module, wherein the media data acquisition module is used for acquiring media data, and the media data comprises television audience measurement data, advertisement putting monitoring data and market and media survey data;
the check code generating module is used for generating a first check code according to the television audience measurement data, generating a second check code according to the advertisement putting monitoring data and generating a third check code according to the market and media survey data;
a data packet generating module, configured to generate a first data packet, a second data packet, and a third data packet, where the first data packet includes the television audience measurement data and the first check code, the second data packet includes the advertisement delivery monitoring data and the second check code, and the third data packet includes the market and media survey data and the third check code;
a data packet storage module, configured to store the first data packet, the second data packet, and the third data packet in a private cloud server, where the private cloud server includes a first storage area, a second storage area, and a third storage area, the first data packet is stored in the first storage area, the second data packet is stored in the second storage area, and the third data packet is stored in the third storage area;
a storage relationship generating module, configured to generate a storage relationship, where the storage relationship includes a first storage relationship between the television audience measurement data and the first storage area, a second storage relationship between the advertisement delivery monitoring data and the second storage area, and a third storage relationship between the market and media survey data and the third storage area;
the media data calling instruction receiving module is used for receiving a media data calling instruction, and the media data calling instruction comprises a target media data name required to be called and a fourth check code;
the target media data calling module is used for acquiring a storage area corresponding to the target media data name according to the target media data name and the storage relation, acquiring a corresponding data packet from the determined storage area, and then acquiring target media data and a target check code corresponding to the target media data name according to the acquired data packet;
the check code comparison module is used for comparing whether the fourth check code and the target check code accord with a preset relation or not; and
and the media data output module is used for outputting the target media data if the fourth check code and the target check code accord with the preset relationship.
Preferably, the media data management system further includes a media data analysis module, where the media data analysis module includes a first media data analysis unit, a second media data analysis unit, and a third media data analysis unit, the first media data analysis unit is preset with a first data analysis mechanism corresponding to the tv audience measurement data and configured to perform data analysis on the tv audience measurement data, the second media data analysis unit is preset with a second data analysis mechanism corresponding to the advertisement delivery monitoring data and configured to perform data analysis on the advertisement delivery monitoring data, and the third media data analysis unit is preset with a third data analysis mechanism corresponding to the market and media survey data and configured to analyze the market and media survey data;
correspondingly, the private cloud server further comprises a fourth storage area, a fifth storage area and a sixth storage area;
the media data management system further comprises an analysis result storage module, which is used for storing a first analysis result obtained after the first media data analysis unit performs data analysis into the fourth storage area, storing a second analysis result obtained after the second media data analysis unit performs data analysis into the fifth storage area, and storing a third analysis result obtained after the third media data analysis unit performs data analysis into the sixth storage area.
Preferably, the comparing whether the fourth check code and the target check code conform to a preset relationship includes:
and comparing whether the fourth check code and the target check code are the same check code information.
Preferably, the media data output module is specifically configured to:
if the fourth check code and the target check code are in accordance with the preset relationship, encrypting the target media data according to a preset encryption mechanism to obtain encrypted target media data and a secret key for decrypting the encrypted target media data;
outputting the encrypted target media data;
and if the specific feedback character string is received within the preset validity period, outputting the key.
The media data management system based on artificial intelligence provided by the invention has the following beneficial effects: after the media data are obtained, check codes corresponding to various media data are generated, when the media data are called subsequently, the fourth check code input during calling needs to be compared with the check codes obtained during calling, and only when the two check codes meet the preset relation, the related media information can be obtained, so that the security of media data management can be improved, the possibility that the media data are stolen is reduced, and further more serious consequences caused by data loss are prevented; different types of media data and corresponding check codes are stored in corresponding storage areas of the private cloud servers, the private cloud servers are constructed private servers, and compared with public cloud servers, the efficiency of data access can be improved during data storage and retrieval, the safety of data storage can be improved, and the situation that the media data cannot be stored or retrieved due to the fact that an Internet network between the private cloud servers and the public cloud servers is abnormal can be avoided; when the media data are extracted, the target media data and the target check codes are obtained from the corresponding storage areas according to the storage relation and the target media data names in the media data calling instruction, and then the target media data are output by comparing the two check codes, so that the reliability and the safety of data calling are improved. Therefore, the media data management system based on artificial intelligence provided by the invention is a reliable and effective media data management system, and can realize reliable and effective management of media data.
Drawings
Fig. 1 is a schematic diagram of a media data management system based on artificial intelligence.
Detailed Description
As shown in fig. 1, the present embodiment provides an artificial intelligence based media data management system, including: the device comprises a media data acquisition module, a check code generation module, a data packet storage module, a storage relationship generation module, a media data calling instruction receiving module, a target media data calling module, a check code comparison module and a media data output module. It should be understood that each component module in the media data management system provided in this embodiment may be in a hardware form, or may also be in a software form, if the component module is in a hardware form, the media data management system is a hardware system including a plurality of component modules, if the component module is in a software form, the media data management system is a software system, and a hardware execution subject corresponding to the software system may be a computer device or a server device.
The media data acquisition module is used for acquiring media data, and the media data comprises television audience measurement data, advertisement putting monitoring data and market and media survey data. In this embodiment, the media data are chinese media data, and the tv audience measurement data, the advertisement delivery monitoring data, and the market and media survey data are three typical chinese media data. The two conventional acquisition modes of the television audience measurement data are a diary method and a personal monitor method, wherein the diary method usually collects sample audience data in a questionnaire form, each 15 minutes is a unit, the data is recalled by an interviewee and can be collected and sorted every week, the personal monitor method collects audience data of a fixed user by using a preset personal monitor, the data is recorded by the personal monitor in 1 minute, and the data can be collected and sorted every day. The tv audience measurement data typically includes the number, type and location of tv sets, audiovisual equipment, channel coverage, signal reception and picture quality. The advertisement delivery monitoring data has two main functions, namely monitoring advertisement delivery and providing advertisement cost data, and the advertisement delivery monitoring can adopt a traditional monitoring mode and also can adopt a data monitoring mode. The traditional monitoring mode is adopted to collect the information of monitoring advertisements, the monitoring data comprises television, newspapers and magazines, broadcasting, Internet and the like, and the related data information is arranged into a related database; the digital monitoring mode is adopted, namely, codes are added in advance to the advertisement tape, data are recorded through a relevant monitor, and a database is automatically generated through the data. Market and media survey data includes three aspects of data, namely media habits, product usage and lifestyle. The application range of Chinese media data comprises: finding opportunities, program analysis, pricing indicators, and performance assessment. Wherein, the finding opportunity is to determine new client, find competitive advantage and record 'stock', and the program analysis is to show, compare and analyze audience group.
It should be understood that the above three typical media data are common knowledge, and accordingly, the obtaining mode of each media data and the specific data content are also conventional means, such as: the data is obtained by the media data sorting department according to the sorting of the original data or extracted from the original media database.
The check code generation module is used for generating a first check code according to the television audience measurement data, generating a second check code according to the advertisement delivery monitoring data, and generating a third check code according to the market and media survey data. Thus, the first check code corresponds to television audience measurement data, the second check code corresponds to advertisement placement monitoring data, and the third check code corresponds to market and media survey data. The specific implementation modes of the first check code, the second check code and the third check code are not limited, the first check code, the second check code and the third check code can be character strings with specific digits, the character strings can be composed of pure numbers, pure letters or a mixture of numbers and letters, and the specific digits are set according to actual needs. The first check code, the second check code and the third check code are independent from each other, so that the first check code, the second check code and the third check code can be the same check code or different check codes.
The data packet generating module is used for generating a first data packet, a second data packet and a third data packet. As a specific embodiment, the first data packet may be obtained by performing data compression on the television audience measurement data and the first check code, and the first data compression packet is the first data packet. The second data packet includes advertisement delivery monitoring data and a second check code, and as a specific implementation manner, the advertisement delivery monitoring data and the second check code may be subjected to data compression to obtain a second data compression packet, where the second data compression packet is the second data packet. The third data packet includes market and media survey data and a third check code, and as a specific implementation manner, the market and media survey data and the third check code may be subjected to data compression to obtain a third data compression packet, where the third data compression packet is the third data packet. It should be understood that the data packet generating module may be a data compression module with data compression function.
The data packet storage module is used for storing the first data packet, the second data packet and the third data packet into the private cloud server. It should be understood that the private cloud server is a private cloud server constructed in advance, and includes a first storage area, a second storage area and a third storage area, where the three storage areas are independent storage areas, and the capacity of each storage area is set according to actual needs, but needs to meet data storage requirements. The data packet storage module stores the first data packet in the first storage area, stores the second data packet in the second storage area, and stores the third data packet in the third storage area. Thus, the audience measurement data is stored in a first memory area, the advertisement placement monitoring data is stored in a second memory area, and the marketing and media survey data is stored in a third memory area. It should be understood that a corresponding relationship is preset in the data packet storage module, specifically: the corresponding relation between the first data packet and the first storage area, the corresponding relation between the second data packet and the second storage area, and the corresponding relation between the third data packet and the third storage area. And the data packet storage module stores the corresponding data packet in the corresponding storage area according to the corresponding relation.
The storage relationship generation module is used for generating storage relationships, and the storage relationships comprise a first storage relationship of television audience measurement data and a first storage region, a second storage relationship of advertisement delivery monitoring data and a second storage region, and a third storage relationship of market and media survey data and a third storage region. The specific implementation manner of the three storage relationships may be a correspondence table. For example, the first storage relationship between the television audience measurement data and the first storage region is obtained according to the corresponding relationship between the first data packet and the first storage region and the corresponding relationship between the first data packet and the television audience measurement data. And the second storage relationship and the third storage relationship may also be obtained as described above.
When a certain media data is required to be called, the data calling personnel sends a media data calling instruction, and the data calling personnel can operate data input equipment such as a keyboard or a touch screen to send the media data calling instruction to the execution main body. The media data calling instruction receiving module is used for receiving a media data calling instruction, and the media data calling instruction comprises a target media data name required to be called and a fourth check code. The fourth check code is output by the data transfer personnel, is used for being compared with the first check code, the second check code or the third check code stored in the private cloud server, and is the same as the first check code, the second check code or the third check code, and the specific implementation mode of the fourth check code is not limited.
The target media data calling module is used for acquiring a storage area corresponding to the target media data name according to the target media data name and the storage relation, acquiring a corresponding data packet from the determined storage area, and then acquiring the target media data corresponding to the target media data name and the target check code according to the acquired data packet. For example: if the target media data name is television audience measurement data, acquiring a first storage area corresponding to the television audience measurement data according to the television audience measurement data and the storage relation in the target media data name, acquiring a first data packet from the first storage area, and then acquiring the television audience measurement data and a first check code according to the acquired first data packet; if the target media data name is the advertisement putting monitoring data, acquiring a second storage area corresponding to the advertisement putting monitoring data according to the advertisement putting monitoring data and the storage relation in the target media data name, acquiring a second data packet from the second storage area, and then acquiring the advertisement putting monitoring data and a second check code according to the acquired second data packet; if the target media data name is market and media survey data, acquiring a third storage area corresponding to the market and media survey data according to the market and media survey data and the storage relation, acquiring a third data packet from the third storage area, and then acquiring the market and media survey data and a third check code according to the acquired third data packet.
The check code comparison module is used for comparing whether the fourth check code and the target check code accord with a preset relation or not. The preset relationship is set by actual conditions, such as: the two check codes are identical check codes, or partial data in the two check codes are identical, or the two check codes conform to some other relationship, such as an inverse relationship, that is, the two check codes are completely opposite data information. In this embodiment, if the predetermined relationship is the same check code, comparing whether the fourth check code and the target check code conform to the predetermined relationship specifically includes: and comparing whether the fourth check code and the target check code are the same check code information. For example: if the target media data name is television audience measurement data, comparing whether the fourth check code and the first check code are the same check code information or not; if the target media data name is the advertisement putting monitoring data, comparing whether the fourth check code and the second check code are the same check code information or not; and if the target media data name is market and media investigation data, comparing whether the fourth check code and the third check code are the same check code information.
The media data output module is used for outputting the target media data if the fourth check code and the target check code accord with a preset relation. The media data output module may directly output the target media data when the fourth check code and the target check code conform to the preset relationship, or may have the following output policy:
and if the fourth check code and the target check code are in accordance with a preset relationship, encrypting the target media data according to a preset encryption mechanism, wherein the preset encryption mechanism is set according to actual needs, and it should be understood that the encryption algorithm corresponding to the encryption mechanism is an encryption algorithm disclosed in the prior art and is not described in detail again. And encrypting the target media data according to a preset encryption mechanism to obtain encrypted target media data and a key for decrypting the encrypted target media data.
After the encrypted target media data and the key are obtained, the encrypted target media data is output first. After receiving the encrypted target media data, the data caller needs to output a specific feedback character string to the media data output module within a preset validity period, where the length of the preset validity period is set by actual conditions, for example, 40 s; the specific feedback string is specifically set by the actual need. And if the media data output module receives the specific feedback character string within the preset validity period, outputting the key. And the data retrieval personnel can decrypt the encrypted target media data after receiving the key so as to obtain the target media data. It should be understood that the process of decrypting the encrypted target media data according to the key may be performed by the media data output module, or may be performed by a data retrieval person operating an external device. Moreover, if the specific feedback string is not received within the preset validity period, for example, the feedback string received within the preset validity period is incorrect, or the specific feedback string is received beyond the preset validity period, the key is not output.
The method comprises the steps of firstly encrypting target media data to obtain encrypted target media data and a secret key, then outputting the encrypted target media data, and outputting the secret key if a specific feedback character string is received within a preset validity period. Because the specific feedback character string is only known by related personnel and cannot be known by other unrelated personnel, if the specific feedback character string is not received within the preset validity period, the key is not output, and the encrypted target media data cannot be decrypted. Therefore, the data security can be improved through the output process, and other irrelevant people are prevented from illegally acquiring the target media data.
Furthermore, the media data management system further comprises a media data analysis module, and the media data analysis module comprises a first media data analysis unit, a second media data analysis unit and a third media data analysis unit. The first media data analysis unit is preset with a first data analysis mechanism corresponding to the tv audience measurement data, and is used for performing data analysis on the tv audience measurement data, it should be understood that the first data analysis mechanism preset in the first media data analysis unit is an analysis strategy specially used for analyzing the tv audience measurement data, a specific analysis strategy is determined by the specific tv audience measurement data, and when the specific tv audience measurement data is adjusted, the specific analysis strategy is also adjusted accordingly. The second media data analysis unit is preset with a second data analysis mechanism corresponding to the advertisement delivery monitoring data, and is used for performing data analysis on the advertisement delivery monitoring data, it should be understood that the second data analysis mechanism preset in the second media data analysis unit is an analysis strategy specially used for analyzing the advertisement delivery monitoring data, the specific analysis strategy is determined by the specific advertisement delivery monitoring data, and when the specific advertisement delivery monitoring data is adjusted, the specific analysis strategy is correspondingly adjusted. The third media data analysis unit is preset with a third data analysis mechanism corresponding to the market and media survey data, and is used for analyzing the market and media survey data, it should be understood that the third data analysis mechanism preset in the third media data analysis unit is an analysis strategy specially used for analyzing the market and media survey data, the specific analysis strategy is determined by the specific market and media survey data, and when the specific market and media survey data are adjusted, the specific analysis strategy is correspondingly adjusted.
The first media data analysis unit performs data analysis on the television audience measurement data to obtain a first analysis result, the second media data analysis unit performs data analysis on the advertisement delivery monitoring data to obtain a second analysis result, and the third media data analysis unit performs data analysis on the market and media survey data to obtain a third analysis result.
Accordingly, the private cloud server further includes a fourth storage area, a fifth storage area, and a sixth storage area. It should be understood that the private cloud server is provided with a fourth storage area, a fifth storage area, and a sixth storage area in addition to the first storage area, the second storage area, and the third storage area. The respective storage areas are independent of each other.
The media data management system also comprises an analysis result storage module which is used for storing the first analysis result into a fourth storage area, storing the second analysis result into a fifth storage area and storing the third analysis result into a sixth storage area. And the analysis results in the fourth storage area, the fifth storage area and the sixth storage area are used for subsequent retrieval.
The above-mentioned embodiments are merely illustrative of the technical solutions of the present invention in a specific embodiment, and any equivalent substitutions and modifications or partial substitutions of the present invention without departing from the spirit and scope of the present invention should be covered by the claims of the present invention.

Claims (4)

1. An artificial intelligence based media data management system, comprising:
the system comprises a media data acquisition module, a media data acquisition module and a media data processing module, wherein the media data acquisition module is used for acquiring media data, and the media data comprises television audience measurement data, advertisement putting monitoring data and market and media survey data;
the check code generating module is used for generating a first check code according to the television audience measurement data, generating a second check code according to the advertisement putting monitoring data and generating a third check code according to the market and media survey data;
a data packet generating module, configured to generate a first data packet, a second data packet, and a third data packet, where the first data packet includes the television audience measurement data and the first check code, the second data packet includes the advertisement delivery monitoring data and the second check code, and the third data packet includes the market and media survey data and the third check code;
a data packet storage module, configured to store the first data packet, the second data packet, and the third data packet in a private cloud server, where the private cloud server includes a first storage area, a second storage area, and a third storage area, the first data packet is stored in the first storage area, the second data packet is stored in the second storage area, and the third data packet is stored in the third storage area;
a storage relationship generating module, configured to generate a storage relationship, where the storage relationship includes a first storage relationship between the television audience measurement data and the first storage area, a second storage relationship between the advertisement delivery monitoring data and the second storage area, and a third storage relationship between the market and media survey data and the third storage area;
the media data calling instruction receiving module is used for receiving a media data calling instruction, and the media data calling instruction comprises a target media data name required to be called and a fourth check code;
the target media data calling module is used for acquiring a storage area corresponding to the target media data name according to the target media data name and the storage relation, acquiring a corresponding data packet from the determined storage area, and then acquiring target media data and a target check code corresponding to the target media data name according to the acquired data packet;
the check code comparison module is used for comparing whether the fourth check code and the target check code accord with a preset relation or not; and
and the media data output module is used for outputting the target media data if the fourth check code and the target check code accord with the preset relationship.
2. The artificial intelligence based media data management system of claim 1,
the media data management system further comprises a media data analysis module, wherein the media data analysis module comprises a first media data analysis unit, a second media data analysis unit and a third media data analysis unit, the first media data analysis unit is preset with a first data analysis mechanism corresponding to the television audience measurement data and used for carrying out data analysis on the television audience measurement data, the second media data analysis unit is preset with a second data analysis mechanism corresponding to the advertisement delivery monitoring data and used for carrying out data analysis on the advertisement delivery monitoring data, and the third media data analysis unit is preset with a third data analysis mechanism corresponding to the market and media survey data and used for analyzing the market and media survey data;
correspondingly, the private cloud server further comprises a fourth storage area, a fifth storage area and a sixth storage area;
the media data management system further comprises an analysis result storage module, which is used for storing a first analysis result obtained after the first media data analysis unit performs data analysis into the fourth storage area, storing a second analysis result obtained after the second media data analysis unit performs data analysis into the fifth storage area, and storing a third analysis result obtained after the third media data analysis unit performs data analysis into the sixth storage area.
3. The artificial intelligence based media data management system of claim 1,
the comparing whether the fourth check code and the target check code conform to a preset relationship includes:
and comparing whether the fourth check code and the target check code are the same check code information.
4. The artificial intelligence based media data management system of claim 1,
the media data output module is specifically configured to:
if the fourth check code and the target check code are in accordance with the preset relationship, encrypting the target media data according to a preset encryption mechanism to obtain encrypted target media data and a secret key for decrypting the encrypted target media data;
outputting the encrypted target media data;
and if the specific feedback character string is received within the preset validity period, outputting the key.
CN202010677415.8A 2020-07-15 2020-07-15 Media data management system based on artificial intelligence Withdrawn CN111831835A (en)

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Application publication date: 20201027

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