CN110381381B - Video customization method, video customization device and electronic equipment - Google Patents

Video customization method, video customization device and electronic equipment Download PDF

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Publication number
CN110381381B
CN110381381B CN201910542938.9A CN201910542938A CN110381381B CN 110381381 B CN110381381 B CN 110381381B CN 201910542938 A CN201910542938 A CN 201910542938A CN 110381381 B CN110381381 B CN 110381381B
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video
expert
target
user
video customization
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CN110381381A (en
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刘新
兰飞
杨明昭
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Golo Iov Data Technology Co ltd
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Golo Iov Data Technology Co ltd
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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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/4508—Management of client data or end-user data
    • 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
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/458—Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations
    • 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
    • H04N21/47—End-user applications
    • H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • 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
    • H04N21/47—End-user applications
    • H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • H04N21/47211—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for requesting pay-per-view content

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application provides a video customization method, a video customization device, an electronic device and a computer readable storage medium, wherein the video customization method comprises the following steps: when a video customization demand initiated by a user is received, the video customization demand is pushed to more than one expert, a target expert is determined, the video customization demand containing target expert confirmation information is returned to the user, after a video customization demand issuing instruction of the user is received, the video customization demand is issued to allow other second users to participate, when the number of the users reaches a preset number, the video customization demand meeting the demand is confirmed, the target expert is informed to start to make a target video, and the made target video is disclosed to the user and the second users to be watched. The scheme of the application not only can meet the requirements of most users, but also can improve the income and the enthusiasm of video producers.

Description

Video customization method, video customization device and electronic equipment
Technical Field
The present application belongs to the field of video processing technologies, and in particular, to a video customization method, a video customization device, and an electronic device.
Background
In the traditional pay video platform, video producers record videos according to their own preferences, judgments and experiences, and upload the videos to the pay video platform for users to browse and watch after recording the videos, although users can obtain a large amount of video resources through the platform, most of the video resources on the platform have rich and complicated contents, the video contents cannot meet the requirements of most of the users at the same time, and the tutorial video cannot be produced in order to meet the interests of a certain user in consideration of the cost problem, so that the targeted push service cannot be provided for the users. In addition, if the user is not interested in the content on the platform, the user can not buy a bill for the content which is not interested, and the income and the enthusiasm of a video producer are also influenced.
Disclosure of Invention
In view of this, the present application provides a video customization method, a video customization apparatus, and an electronic device, which can customize a video according to a user requirement, and achieve an effect of accurately pushing platform contents.
In a first aspect, the present application provides a video customization method, including:
receiving a video customization demand initiated by a user;
pushing the video customization requirement to more than one expert, determining a target expert, and returning the video customization requirement containing confirmation information of the target expert to the user;
after receiving a video customization demand issuing instruction of the user, issuing the video customization demand to accommodate other second users to participate;
when the number of users reaches a preset number, confirming that the video customization requirement meets the requirement, and informing the target expert to start to make a target video;
and disclosing the manufactured target video to the user and a second user for watching.
Optionally, the receiving a video customization requirement initiated by a user includes:
detecting whether the video customization requirement is matched with a preset condition;
and if the video customization requirement is matched with the preset condition, determining more than one expert related to the video customization requirement.
Optionally, the pushing the video customization requirement to more than one expert, determining a target expert, and returning the video customization requirement including confirmation information of the target expert to the user includes:
aiming at any expert, obtaining historical video scoring and historical production time of the expert;
calculating the weight information of the expert according to the historical video scoring and the historical production time of the expert;
and dispatching the video customization requirements to the experts according to the sequence of the weight information from high to low.
Optionally, the pushing the video customization requirement to more than one expert, determining a target expert, and returning the video customization requirement including confirmation information of the target expert to the user includes:
receiving feedback states of the more than one experts on the video customization requirements;
screening the experts according to the feedback state to obtain an expert set to be selected;
acquiring expert information of each expert in the expert set to be selected and video production information fed back by each expert based on the video customization demand, wherein the video production information comprises price information and time information;
creating an expert list according to the expert information and the video production information;
sending said expert list to said user;
and if a selection instruction sent by the user aiming at the expert list is received, determining the expert pointed by the selection instruction as a target expert.
Optionally, the number of the users is the total number of the users and the second users.
Optionally, the determining that the video customization requirement is met when the number of the users reaches a preset number of people and notifying the target expert to start to produce the target video includes:
creating a target user set associated with the video customization requirement;
issuing the associated information of the target user set on a platform;
when a joining instruction of the second user based on the target user set is received, joining the second user to the target user set;
and when the number of the target users reaches a preset number, sending a production confirmation message to the target expert, so that the target expert starts to produce the video based on the video customization requirement under the indication of the production confirmation message.
Optionally, before the publishing the finished video to the user and the second user for viewing, the method includes:
receiving the target video produced by the target expert based on the video customization requirement;
setting the watching permission of the target video according to the target user set associated with the video customization requirement;
and uploading the target video to a network.
In a second aspect, the present application provides a video customization apparatus, comprising:
the receiving unit is used for receiving a video customization demand initiated by a user;
the sending unit is used for pushing the video customization requirements to more than one expert, determining a target expert and returning the video customization requirements containing confirmation information of the target expert to the user;
a first issuing unit, configured to, after receiving a video customization demand issuing instruction of the user, issue the video customization demand to accommodate other second users to participate
The notification unit is used for confirming that the video customization requirement meets the requirement when the number of users reaches a preset number of people, and notifying the target expert to start to make a target video;
and the video pushing unit is used for disclosing the manufactured target video to the user and a second user for watching.
Optionally, the receiving unit includes:
a request detection subunit, configured to detect whether the video customization requirement matches a preset condition;
and the expert confirming subunit is used for confirming more than one expert related to the video customizing requirement if the video customizing requirement is matched with the preset condition.
Optionally, the sending unit includes:
the first acquisition subunit is used for acquiring historical video scores and historical production time of any expert;
the weight calculation subunit is used for calculating the weight information of the expert according to the historical video scoring and historical production time of the expert;
and the demand distribution subunit is used for distributing the video customization demand to the experts according to the sequence of the weight information from high to low.
Optionally, the sending unit includes:
a receiving subunit, configured to receive a feedback status of the video customization requirement from the one or more experts;
the screening subunit is used for screening the experts according to the feedback state to obtain an expert set to be selected;
the second obtaining subunit is configured to obtain expert information of each expert in the to-be-selected expert set and video production information fed back by each expert based on the video customization demand, where the video production information includes price information and time information;
a creating subunit, configured to create an expert list according to the expert information and the video production information;
a sending subunit, configured to send the expert list to the user;
and the target expert confirming subunit is used for determining the expert pointed by the selection instruction as the target expert if the selection instruction sent by the user aiming at the expert list is received.
Optionally, the video customization apparatus further includes:
a target user set creating unit, configured to create a target user set associated with the video customization requirement;
the second issuing unit is used for issuing the associated information of the target user set on a platform;
the joining unit is used for joining the second user into the target user set when a joining instruction of the second user based on the target user set is received;
and the confirming unit is used for sending a production confirmation message to the target expert when the number of the target users reaches a preset number, so that the target expert starts to produce the video based on the video customization requirement under the instruction of the production confirmation message.
Optionally, the video customization apparatus further includes:
a target video receiving unit, configured to receive the target video produced by the target expert based on the video customization requirement;
a setting unit, configured to set a viewing permission of the target video according to the target user set associated with the video customization requirement;
and the uploading unit is used for uploading the target video to a network.
In a third aspect, the present application provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect when executing the computer program.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of the first aspect.
In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by one or more processors, performs the steps of the method of the first aspect as described above.
According to the scheme, when the video customization requirement initiated by the user is received, the video customization requirement is pushed to more than one expert, the target expert is determined, the video customization requirement containing the confirmation information of the target expert is returned to the user, after the video customization requirement issuing instruction of the user is received, the video customization requirement is issued to allow other second users to participate, the video customization requirement meeting requirement is confirmed when the number of the users reaches the preset number, the target expert is informed to start to make the target video, and the made target video is disclosed to the user and the second users to be watched. According to the scheme, the video is customized based on the user requirements, corresponding experts can be automatically recommended according to the user interest points, and the requirements of most users can be met and the income and enthusiasm of video producers can be improved in a paid enqueuing mode.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a video customization method according to an embodiment of the present application;
fig. 2 is a schematic view of a specific implementation flow of step S101 in a video customization method according to an embodiment of the present application;
fig. 3 is a schematic flowchart illustrating a specific implementation flow of step S102 in a video customization method according to an embodiment of the present application;
fig. 4 is a schematic flowchart illustrating a specific implementation flow of step S102 in a video customization method according to an embodiment of the present application;
fig. 5 is a schematic flowchart illustrating a specific implementation flow of step S104 in a video customization method according to an embodiment of the present application;
fig. 6 is a schematic diagram of a video customization apparatus provided in an embodiment of the present application;
fig. 7 is a schematic diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular video platform system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known video platform systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Example one
Fig. 1 shows a flowchart of an implementation of a video customization method provided in an embodiment of the present application, which is detailed as follows:
in S101, a video customization request initiated by a user is received.
In the embodiment of the application, all users on the video platform can initiate the video customization requirement. The specific process can be as follows: the method comprises the steps that a user on a video platform browses a resource list on the video platform to select video resources meeting requirements, the video resources can be free resources or paid resources, if the user selects the video resources meeting the requirements, when the video resources are the free resources, the user can directly watch the video resources through operations such as clicking, and when the video resources are the paid resources, the user can watch the video resources through operations such as clicking after paying for the video resources. If the user does not select the video resources meeting the requirements, the user can send a video customization requirement to the video platform system, and the video platform system sends the video customization requirement to experts on any number of video platforms when receiving the video customization requirement.
There are multiple video category lists or category labels on the video platform, and the form of the video category list or category label may be categorized by car brand, such as curio, giri, gallop, etc., by way of example only; may be categorized by the price of the car, such as under 5 ten thousand, 5 to 10 ten thousand, 10-20 ten thousand, etc.; it can also be classified by the parts of the car, such as tires, gearboxes, engines, etc.; the above classification methods may be combined, and the classification method is not limited to the above.
The video customization request initiated by the user is a request, and the request can be in the form that the user selects or inputs one or more classification labels in the video platform system, and the video platform system judges the specific type of the video required by the user according to the one or more classification labels.
In S102, the video customization requirement is pushed to more than one expert, a target expert is determined, and the video customization requirement including confirmation information of the target expert is returned to the user.
Sending a demand request containing specific types of videos to an expert; the user can directly input the name of a video to be watched in the video platform system (for example, a video tutorial for maintaining a Tesla model x engine), the video platform system automatically extracts keywords or words from the name of the video to generate one or more classification labels, then the specific type of the video required by the user is judged according to the one or more classification labels, and the requirement request containing the specific type of the video is sent to an expert; the video platform system may also directly send the name of the video that the user wants to watch, which is input in the video platform system, to the expert, and the classification manner is not limited to the above. When the expert or the experts are sent to the corresponding expert or the experts, the expert classification label owned by the expert or the experts corresponding to each expert exists in the expert or the experts, and the expert classification label is consistent with a video classification list or a classification label existing on a video platform and corresponds to the video classification list or the classification label. The experts, i.e., video experts, can be any person who registers, fills in complete data on and passes the audit of the video platform.
In the embodiment of the application, after the video platform system pushes the video customization requirement of the user to the expert, the expert receives the video customization requirement through the video platform system, and in the set time set by the video platform system, the expert can select different feedback states according to the self intention, wherein the feedback states can include that the expert agrees to make the video corresponding to the video customization requirement of the user or refuses to make the video corresponding to the video customization requirement of the user. If the expert chooses to agree to make the video, the expert needs to fill in the expert information and the video making information for completely making the video in the video platform system. Expert information may include, but is not limited to, one or more of the following: the name of an expert, the ID number of a video platform, the contact way, the mailbox address, the QQ number, the personal adept field and the personal main works; the video production information may include, but is not limited to, one or more of the following: the video platform system draws an expert list according to all experts who choose to agree to make videos. The price information may include video production cost information and profit information, and the time information may include a time length required to produce a finished video and a finishing date. The expert list includes all expert basic information agreeing to make video and video making information.
In the embodiment of the application, after the video platform system sends the expert list to the user within the set time of the video platform system, the user can browse all information including the expert basic information and the video production information in the expert list, select any one expert from the expert list and send a selection instruction to the video platform system, wherein the selection instruction designates the expert selected by the user as the target expert. After the target expert is determined, the video platform system returns the video customization requirement containing the confirmation information of the target expert to the user.
In S103, after receiving the video customization request issuing instruction of the user, the video customization request is issued to accommodate participation of another second user.
After the video platform system returns the video customization requirement containing the target expert confirmation information to the user, the user can issue the video customization requirement containing the target expert confirmation information to the network platform in a bulletin or push mode, and at the moment, the video platform system generates a corresponding user team. The video customization requirement containing the target expert confirmation information is visible to any other user on the network platform, the any other user on the network platform is a second user, and if the second user is interested in the announcement or push information corresponding to the video customization requirement containing the target expert confirmation information, the second user can selectively participate in the user team to indicate that the second user also has the video customization requirement.
In S104, when the number of users reaches a preset number, it is determined that the video customization requirement is satisfied, and the target expert is notified to start to produce a target video.
The video platform system automatically counts the number of people in the user team, the number of people in the user team is equal to 1+ n, wherein the value 1 represents the number of the users who put forward the video customization requirement, n represents the number of the second users who join the user team, and when a new second user joins the user team, the value of n is added with 1. The video platform system is preset with a preset number of people, namely, the lower limit of the number of people who join the user team, and when the number of people in the user team reaches the lower limit of the number of people, the video platform system automatically sends out a notice to inform the target expert to start to make a target video. The number of the users is the total number of the users and the second users.
In S105, the target video that is completely produced is disclosed to the user and a second user for viewing.
In the embodiment of the application, after the target expert makes a video within a preset time length required by the target expert to make the video or before a preset completion date, the target expert uploads the made video to the video platform system, the video platform system verifies the video uploaded by the target expert, and if the verification is passed, the target video is uploaded to the video platform and is published to the user and a second user for watching.
In the embodiment of the application, when a video customization demand initiated by a user is received, the video customization demand is pushed to more than one expert, a target expert is determined, the video customization demand containing confirmation information of the target expert is returned to the user, after a video customization demand issuing instruction of the user is received, the video customization demand is issued to allow other second users to participate, when the number of the users reaches a preset number, the video customization demand is confirmed to meet the requirement, the target expert is informed to start to make the target video, and the made target video is disclosed to the user and the second user to be watched. According to the content required by the user, the system automatically recommends the corresponding experts to customize the video, and the user can obtain high-quality interested content. The video produced by the video experts in the method not only meets the requirements of most users, but also improves the income and the enthusiasm of video producers.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Example two
On the basis of the first embodiment, fig. 2 shows a specific implementation flow of the step S101, where the step S101 includes S201 and S202, which are detailed as follows:
in S201, it is detected whether the video customization requirement matches a preset condition.
When the video platform system receives a video customization demand sent by a user, the video platform system checks the video customization demand to judge whether the video customization demand is matched with a preset condition of the video platform system. The preset conditions may include: the minimum correlation degree of the video customization requirements and the video platform, the feasibility degree of the video customization requirements, the legality degree of the video customization requirements and the like.
For example only, the minimum correlation between the video customization requirement in the preset condition and the video platform may be 50%, 60%, 70%, or any other value, that is, the video platform system compares the tag provided by the initiator included in the video customization requirement or the tag extracted from the video customization requirement name automatically by the system with all tags on the video platform, and by calculating the percentage of the number of tags in the video customization requirement, which is the same as that of the video platform, in all tags in the video customization requirement, when the percentage value is not lower than 50%, 60%, 70%, or any other value, the system may determine that the video customization requirement meets the preset condition of the minimum correlation between the video customization requirement and the video platform.
The feasibility degree of the video customization requirement in the preset condition represents the possibility that an expert can successfully manufacture a video according to the video customization requirement, the feasibility degree can be divided into the possibility that the video can be successfully manufactured, the video can be successfully manufactured with a maximum probability, the video can be successfully manufactured with a greater probability, whether the video can be successfully manufactured cannot be determined, the video can be successfully manufactured with a smaller probability, the video can be successfully manufactured with a minimum probability, the video cannot be successfully manufactured, and the like, the difficulty degree weight corresponding to each label is stored in the video platform system, when the video platform system receives the video customization requirement, the video platform system carries out statistical calculation on all the labels contained in the video customization requirement according to a preset formula to finally obtain the comprehensive difficulty degree weight of the video customization requirement, and different comprehensive difficulty degree weight ranges correspond to different possibilities of successfully manufacturing the video, the correspondence between the above-mentioned total difficulty weighting range and the probability of successfully producing the video can be referred to table 1, and the contents in table 1 are all only examples, and any data therein has no limiting effect.
Video customization demand feasibility Composite difficulty weight
Can completely successfully make video 1.0
High probability of successfully producing video 0.8-1.0
With greater probability, video can be successfully produced 0.5-0.8
There is no way to determine whether a video can be successfully produced 0.35-0.5
There is less probability that the video will be successfully produced 0.15-0.35
There is a very small probability that a video can be successfully produced 0-0.15
Video cannot be successfully produced 0
TABLE 1
When the comprehensive difficulty weight calculated by the video platform system is in the range of [0, 0.15], the system can judge that the video customization requirement does not meet the preset condition of the feasibility degree of the video customization requirement, and sends prompt information to a user to prompt the user to withdraw the video customization requirement or change the video customization requirement so as to meet the manufacturing requirement of the video platform; when the comprehensive difficulty weight calculated by the video platform system is larger than 0.15, the system can judge that the video customization requirement meets the preset condition of the feasibility of the video customization requirement. It is emphasized that the correspondence between the comprehensive difficulty level weight and the feasibility of the video customization requirement can be changed arbitrarily according to the actual requirement, and the calculated comprehensive difficulty level weight is in which range or equal to which value to prompt the user to withdraw the video customization requirement or change the video customization requirement, or can be changed arbitrarily according to the actual requirement. And calculating in the system to obtain the comprehensive difficulty weight of the video customization requirement, and sending the probability of successfully making the video by the pre-estimation expert to the user according to the corresponding relation.
The legitimacy of the video customization requirement in the preset condition represents that the video customization requirement is legal, a sensitive and illegal vocabulary library and the like are preset in a video platform system, the video platform system carries out legality authentication on the video customization requirement, all words or vocabularies in the video customization requirement are compared with the preset sensitive and illegal vocabulary library and the like, and if words or vocabularies matched with the preset sensitive and illegal vocabulary library exist, the system can judge that the video customization requirement does not accord with the preset condition of the legitimacy of the video customization requirement; if the words or the vocabularies matched with the preset sensitive and illegal vocabulary library do not exist, the system can judge that the video customization requirement meets the preset condition of the video customization requirement legality.
When the video customization requirements meet all the preset conditions, the video customization requirements can be considered to be matched with the preset conditions; when the video customization requirement does not meet the certain preset condition, the video customization requirement is considered to be not matched with the preset condition. The foregoing is by way of example only and is not intended as limiting.
In S202, if the video customization requirement matches the preset condition, one or more experts related to the video customization requirement are determined.
And when the video customization requirement is completely matched with the preset condition, determining more than one corresponding expert according to the label contained in the video customization requirement.
EXAMPLE III
On the basis of the first embodiment, fig. 3 shows a specific implementation flow of the step S102, where the step S102 includes S301 and S303, which are detailed as follows:
in S301, for any expert, the historical video score and the historical time for creation of the expert are acquired.
In S302, the weighting information of the expert is calculated based on the historical video score and the historical creation time of the expert.
After more than one expert corresponding to the label contained in the video customization requirement is determined, the weight information of the experts is obtained, and the weight information is stored in a server of the video platform and is continuously updated dynamically.
Acquiring the weight information of the one or more experts may include: for any expert, obtaining historical video scores, historical production time, the number of times of agreeing to the user video customization demands (recorded as agreement number), the number of times of rejecting the user video customization demands (recorded as rejection number) and the ratio of the agreement number to the rejection number of the expert. Wherein the higher the historical video score of an expert is, the higher the scoring weight of the expert is; the shorter the history making time of the expert is, the higher the time length weight of the expert is, and the history making time can be the average time length required by making a history video; the more the user is granted the video customization needs, the higher the expert's weight of the granted/denied times; after the number of times of continuously rejecting the user video customization requirement exceeds the preset number of times, the more the number of times of continuously rejecting the user video customization requirement is, the lower the weight of the approval/rejection number of the expert is. Of course, the category of the weight information of the expert is only used as an example and has no limiting effect, and the video platform system can set various types of weight information according to actual needs.
Acquiring weight information of the one or more experts, which may further include: and calculating the weight information of the expert according to the historical video scoring and the historical production time of the expert. Specifically, the video platform system may calculate the weight information of the expert by combining the scoring weight, the duration weight, and the approval/rejection weight to obtain expert comprehensive weight information.
In S303, the video customization demands are dispatched to the experts in the order from high to low of the weight information.
According to expert comprehensive weight information obtained by the video platform system through calculation, all experts related to the video customization requirements are sequenced from high to low according to the expert comprehensive weights to obtain an expert comprehensive weight sequencing list, the video platform system sends the video customization requirements to the related experts one by one or in batches according to the sequence in the expert comprehensive weight sequencing list, and the sequence for sending the video customization requirements can be specifically that the experts with high comprehensive weights are notified firstly, and then the experts with low comprehensive weights are notified.
In the embodiment of the application, whether the video customization requirement is matched with a preset condition or not is detected, more than one expert related to the video customization requirement is determined under the condition that the video customization requirement is matched with the preset condition, and the video customization requirement is distributed to more than one expert one by one according to the weight sequence of the expert. The video production instruction is sent to the expert with high weight first, and then the video production instruction is sent to the expert with low weight, so that the quality of the video to be produced is guaranteed to the maximum extent, and the video quality meets the requirements of users as far as possible.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Example four
On the basis of the first embodiment, fig. 4 shows a specific implementation flow of the step S102, where the step S102 includes S401 to S406, which are detailed as follows:
in S401, feedback status of the above-mentioned one or more experts on the video customization requirement is received.
Wherein the feedback status may include an agreement to produce a video corresponding to the user's video customization needs or a rejection to produce a video corresponding to the user's video customization needs.
In S402, the one or more experts are screened according to the feedback state to obtain an expert set to be selected.
The expert can freely select according to the video customization requirement, specifically, the expert can approve to make the video or refuse to make the video, and the selection result is the feedback state of the expert. The video platform system generates an expert set according to the feedback state of the experts, when the experts choose to approve making the video, the experts are added to the expert set, when the experts choose to reject making the video, the experts are not added to the expert set, and therefore it is required to ensure that all the experts in the expert set are the personnel who approve making the video.
In S403, acquiring expert information of each expert in the set of experts to be selected and video production information fed back by each expert based on the video customization requirement, where the video production information includes price information and time information.
After the video platform generates the expert set to be selected, acquiring expert information of each expert in the expert set to be selected and video production information fed back by each expert based on the video customization requirement according to the expert set to be selected. The expert information of the expert can comprise the name of the expert, the ID number of the video platform, the contact way, the mailbox address, the QQ number, the personal adept field, the personal major works and the like, and the video platform system can optionally set options contained in the expert information of the expert according to actual needs. The video production information may include one or more of price information, time information, primary audience object information, and video profiles, among others. The price information may include video production cost information and profit information, and the time information may include a time length required to produce a finished video and a finishing date.
In S404, an expert list is created based on the expert information and the video production information.
And the video platform system creates and generates an expert list corresponding to the expert set according to the expert information and the video production information.
In S405, the expert list is transmitted to the user.
After the system creates and generates the expert list, the video platform system sends the expert list to the user. The specific form of sending the expert list to the user may be: informing a user in a video platform in-station letter mode, wherein the in-station letter containing the expert list comprises option buttons of each expert, and the user can select a target expert by clicking a button corresponding to one expert; the link can be directly sent to a mailbox provided by a user when registering the ID number of the video platform, the link comprises option links of each expert in the expert list, and the user can select a target expert by clicking the link corresponding to one expert; the method can directly send the short message to the mobile phone provided by the user when registering the ID number of the video platform, the short message comprises the option link of each expert in the expert list, and the user can select a target expert by sending the coded short message corresponding to a certain expert.
In S406, if a selection instruction sent by the user with respect to the expert list is received, the expert to which the selection instruction points is determined as a target expert.
In the embodiment of the application, the experts are screened according to the feedback states of more than one expert to the expert set to be selected, expert information of each expert in the expert set to be selected and video production information fed back by each expert based on video customization requirements are obtained, an expert list is created according to the expert information and the video production information, and the expert list is sent to a user. The expert list is created through the feedback information of the experts, so that the users can conveniently select the experts meeting the requirements from the expert list, and the user requirements are met to the greatest extent.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
EXAMPLE five
On the basis of the first embodiment, fig. 5 shows a specific implementation flow of the step S104, wherein the step S104 includes S501 to S504, which are detailed as follows:
in S501, a target user set associated with the video customization needs is created.
After the user selects the target expert, the video platform system creates a target user set associated with the video customization requirement, wherein the target user set may be a set including only one user or a set including multiple users.
In S502, the platform publishes the association information of the target user set.
And the video platform system issues the associated information of the target user set to a video platform, and the associated information is visible to all users on the video platform. The associated information may include a predetermined name of a video corresponding to the video customization requirement, each tag, user basic information, target expert information, video production information, a cost required by the video platform user to enter the target user set, and the like, and the cost required by the video platform user to enter the target user set may be a certain joining cost preset by the video platform system. Of course, the content in the associated information can be changed arbitrarily according to actual needs.
In S503, when receiving a join instruction of the second user based on the target user set, joining the second user to the target user set.
Since the target user set is visible to all users on the video platform, if a user on the video platform is interested in the associated information of the published target user set, the user can send a join instruction to the system through the video platform to apply for joining the target user set.
Before the other users join the target user set, the method may further include: when the other users find a target user set meeting the requirements of the users, the users send a joining instruction based on the target user set, the video platform system prompts the users to pay the cost required for entering the target user set, the cost can be a certain uniform price preset by the video platform system, and a money receiving channel is provided for the users. And after the user successfully pays, the video platform system adds the user into the target user set.
In S504, when the number of people in the target user group reaches a preset number of people, a production confirmation message is sent to the target expert, so that the target expert starts to produce a video based on the video customization requirement under the instruction of the production confirmation message.
And within a preset time length, when the number of the target user set reaches the number of the target user set, all conditions for making the video can be considered to be met, and the target expert can be allowed to start making the target video, so that the video platform system sends a making confirmation message to the target expert, and the making confirmation message is a message for informing the target expert to start making the video, so that the target expert starts making the video based on the video customization requirement under the instruction of the making confirmation message. The preset number of people can be calculated according to price information in the video production information and the preset adding expense of the video platform system, the price information comprises the production cost and the profit of the expert for producing the video, one part of the profit is distributed to the target expert, the other part of the profit is distributed to the video platform, and the distribution proportion can be freely set according to actual demands. For example only, the price information corresponds to a fee of 1000 yuan, the system-preset joining fee is 100 yuan/person, and the system-preset number of people is 10 people by dividing the price corresponding to the price information by the system-preset joining fee. The preset adding cost of the system can be a unified cost on the video platform, and different adding costs can be set according to different video list types or video label types.
Optionally, within a preset time length, if the number of the target user group does not reach the number of the target user group preset by the system, it may be considered that some conditions for creating the video do not meet the requirements, the target expert cannot start creating the target video, and the video platform system does not send a creation confirmation message to the target expert. The video platform system also sends a prompt message to the users in the target user set at the moment so as to inform the users that the target user set does not reach the minimum number of people and cannot inform target experts of making videos, and at the moment, the video platform system can automatically return the paid money of the users in the target user set to respective accounts.
Optionally, if the number of the target user set does not reach the number preset by the system, at this time, the video platform system may inquire whether the users in the target user set agree to continuously notify the target expert to make the video and bear all fees corresponding to the price information of the expert to make the target video, and if the users in the target user set agree to continuously notify the target expert to make the video, the users agreeing to continuously notify the target expert to make the video charge the same fee, and the sum of the fees paid by all the users agreeing to continuously notify the target expert to make the video is all the fees corresponding to the price information of the expert to make the target video; if the users who agree to continue to inform the target experts of making the video do not exist in the target user set, the video platform system automatically returns the paid-up lines of the users in the target user set to respective accounts.
In the embodiment of the application, a target user set associated with a video customization demand is created, the associated information of the target user set is issued on a platform, when an adding instruction of other users based on the target user set is received, the other users are added into the target user set, and when the number of the target user set reaches a preset number, a making confirmation message is sent to a target expert. The target user set is established, other users are allowed to join the target user set, and when the number of people in the target user set meets the requirement, a target expert is informed to start to make a video, so that the pertinence of video content and the efficiency of video making are effectively guaranteed.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
EXAMPLE six
On the basis of the fifth embodiment, the embodiment of the present application shows that before step S105, the method further includes steps S601 to S603, which are detailed as follows:
in S601, a target video created by the target expert based on the video customization requirement is received.
After the target expert produces the target video, a video uploading request is sent to the video platform, and the video platform system receives the target video produced by the target expert based on the video customization requirement and stores the target video in the pre-storage server. The video platform performs content auditing, video information extraction and other operations on the target video stored in the pre-storage server, and converts the target video into a video format and definition preset by the video platform.
In S602, the viewing right of the target video is set according to the target user set associated with the video customization requirement.
And the video platform system calls a target user set associated with the video customization requirement, sets the watching authority of the target video according to the target user set associated with the video customization requirement, wherein the watching authority of the target video is each user contained in the target user set.
In S603, the target video is uploaded to a network.
The video platform system uploads the target video stored in the pre-storage server to a network, wherein the network can be a video platform, and simultaneously sends a notice to users in the target user set to remind the users to watch the video in time. After the user watches the video, the user can be prompted to comment, score, share and the like on the video.
In the embodiment of the application, a target video produced by a target expert based on a video customization demand is received, the watching permission of the target video is set according to a target user set associated with the video customization demand, and the target video is uploaded to the platform. The users with the watching authority are all users who want to watch the target video, and the pertinence of the target video is effectively guaranteed.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
EXAMPLE seven
Fig. 6 is a schematic structural diagram of a video customization apparatus provided in an embodiment of the present application, and only a part related to the embodiment of the present application is shown for convenience of description. The video customizing apparatus 6 in the embodiment of the present application includes:
a receiving unit 60, configured to receive a video customization request initiated by a user;
the sending unit 61 is configured to push the video customization requirement to more than one expert, determine a target expert, and return the video customization requirement including confirmation information of the target expert to the user;
a first publishing unit 62, configured to, after receiving a video customization requirement publishing instruction of the user, publish the video customization requirement to accommodate other second users to participate
The notification unit 63 is configured to confirm that the video customization requirement meets the requirement when the number of users reaches a preset number of people, and notify the target expert to start to make a target video;
and a video customizing unit 64, configured to disclose the target video that is completely produced to the user and a second user for viewing.
Optionally, the receiving unit includes:
a request detection subunit, configured to detect whether the video customization requirement matches a preset condition;
and the expert confirming subunit is used for confirming more than one expert related to the video customizing requirement if the video customizing requirement is matched with the preset condition.
Optionally, the sending unit includes:
the first acquisition subunit is used for acquiring historical video scores and historical production time of any expert;
the weight calculation subunit is used for calculating the weight information of the expert according to the historical video scoring and historical production time of the expert;
and the demand distribution subunit is used for distributing the video customization demand to the experts according to the sequence of the weight information from high to low.
Optionally, the sending unit includes:
a receiving subunit, configured to receive a feedback status of the video customization requirement from the one or more experts;
the screening subunit is used for screening the experts according to the feedback state to obtain an expert set to be selected;
the second obtaining subunit is configured to obtain expert information of each expert in the to-be-selected expert set and video production information fed back by each expert based on the video customization demand, where the video production information includes price information and time information;
a creating subunit, configured to create an expert list according to the expert information and the video production information;
a sending subunit, configured to send the expert list to the user;
and the target expert confirming subunit is used for determining the expert pointed by the selection instruction as the target expert if the selection instruction sent by the user aiming at the expert list is received.
Optionally, the video customization apparatus further includes:
a target user set creating unit, configured to create a target user set associated with the video customization requirement;
the second issuing unit is used for issuing the associated information of the target user set on a platform;
the joining unit is used for joining the second user into the target user set when a joining instruction of the second user based on the target user set is received;
and the confirming unit is used for sending a production confirmation message to the target expert when the number of the target users reaches a preset number, so that the target expert starts to produce the video based on the video customization requirement under the instruction of the production confirmation message.
Optionally, the video customization apparatus further includes:
a target video receiving unit, configured to receive the target video produced by the target expert based on the video customization requirement;
a setting unit, configured to set a viewing permission of the target video according to the target user set associated with the video customization requirement;
and the uploading unit is used for uploading the target video to a network.
In the embodiment of the application, when a video customization demand initiated by a user is received, the video customization demand is pushed to more than one expert, a target expert is determined, the video customization demand containing confirmation information of the target expert is returned to the user, after a video customization demand issuing instruction of the user is received, the video customization demand is issued to accommodate other second users to participate, when the number of the users reaches a preset number, the video customization demand is confirmed to meet the requirement, the target expert is informed to start to make the target video, the made target video is disclosed to the user and the second users to be watched, so that the requirements of most of the users can be met, and the income and the enthusiasm of a video producer can be improved.
EXAMPLE seven
Fig. 7 is a schematic diagram of an electronic device according to an embodiment of the present application. As shown in fig. 7, the electronic apparatus 7 of this embodiment includes: a processor 70, a memory 71 and a computer program 72, such as a video customization program, stored in the memory 71 and executable on the processor 70. The processor 70 implements the steps of the video customization method embodiments described above, such as steps S101 to S105 shown in fig. 1, when executing the computer program 72. Alternatively, the processor 70 implements the functions of the modules/units in the device embodiments, such as the modules 60 to 64 shown in fig. 6, when executing the computer program 72.
Illustratively, the computer program 72 may be divided into one or more modules/units, which are stored in the memory 71 and executed by the processor 70 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used for describing the execution process of the computer program 72 in the electronic device 7. For example, the computer program 72 may be divided into a first sending unit, a second sending unit, a first confirming unit and a first pushing unit, and the specific functions of each unit are as follows:
the receiving unit is used for receiving a video customization demand initiated by a user;
the sending unit is used for pushing the video customization requirements to more than one expert, determining a target expert and returning the video customization requirements containing confirmation information of the target expert to the user;
a first issuing unit, configured to, after receiving a video customization demand issuing instruction of the user, issue the video customization demand to accommodate other second users to participate
The notification unit is used for confirming that the video customization requirement meets the requirement when the number of users reaches a preset number of people, and notifying the target expert to start to make a target video;
and the video pushing unit is used for disclosing the manufactured target video to the user and a second user for watching.
Optionally, the receiving unit includes:
a request detection subunit, configured to detect whether the video customization requirement matches a preset condition;
and the expert confirming subunit is used for confirming more than one expert related to the video customizing requirement if the video customizing requirement is matched with the preset condition.
Optionally, the sending unit includes:
the first acquisition subunit is used for acquiring historical video scores and historical production time of any expert;
the weight calculation subunit is used for calculating the weight information of the expert according to the historical video scoring and historical production time of the expert;
and the demand distribution subunit is used for distributing the video customization demand to the experts according to the sequence of the weight information from high to low.
Optionally, the sending unit includes:
a receiving subunit, configured to receive a feedback status of the video customization requirement from the one or more experts;
the screening subunit is used for screening the experts according to the feedback state to obtain an expert set to be selected;
the second obtaining subunit is configured to obtain expert information of each expert in the to-be-selected expert set and video production information fed back by each expert based on the video customization demand, where the video production information includes price information and time information;
a creating subunit, configured to create an expert list according to the expert information and the video production information;
a sending subunit, configured to send the expert list to the user;
and the target expert confirming subunit is used for determining the expert pointed by the selection instruction as the target expert if the selection instruction sent by the user aiming at the expert list is received.
Optionally, the video customization apparatus further includes:
a target user set creating unit, configured to create a target user set associated with the video customization requirement;
the second issuing unit is used for issuing the associated information of the target user set on a platform;
the joining unit is used for joining the second user into the target user set when a joining instruction of the second user based on the target user set is received;
and the confirming unit is used for sending a production confirmation message to the target expert when the number of the target users reaches a preset number, so that the target expert starts to produce the video based on the video customization requirement under the instruction of the production confirmation message.
Optionally, the video customization apparatus further includes:
a target video receiving unit, configured to receive the target video produced by the target expert based on the video customization requirement;
a setting unit, configured to set a viewing permission of the target video according to the target user set associated with the video customization requirement;
and the uploading unit is used for uploading the target video to a network.
The electronic device 7 may be a computing device such as a server. The electronic device may include, but is not limited to, a processor 70 and a memory 71. Those skilled in the art will appreciate that fig. 7 is merely an example of an electronic device 7 and does not constitute a limitation of the electronic device 7 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the electronic device may also include input devices, output devices, network access devices, buses, etc.
The Processor 70 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 71 may be an internal storage unit of the electronic device 7, such as a hard disk or a memory of the electronic device 7. The memory 71 may be an external storage device of the electronic device 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided in the electronic device 7. Alternatively, the memory 71 may include both an internal storage unit and an external storage device of the electronic device 7. The memory 71 is used to store the computer program and other programs and data required by the electronic device. The above-mentioned memory 71 may also be used to temporarily store data that has been output or is to be output.
In the embodiment of the application, when the electronic equipment receives the video customization requirement of a user, the video customization requirement is sent to more than one expert, sending an expert list to the user according to the feedback state of the more than one expert on the video customization requirement, wherein, the expert list comprises expert information and video production information fed back by experts based on the video customization demand, if receiving the selection instruction sent by the user aiming at the expert list, determining the expert pointed by the selection instruction as a target expert, pushing a target video to a target user set, wherein the target video is a video produced by the target expert based on the video customization requirement, the set of target users includes the user, therefore, the method not only can meet the requirements of most users, but also can improve the income and the enthusiasm of video producers.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned functions may be distributed as different functional units and modules according to needs, that is, the internal structure of the apparatus may be divided into different functional units or modules to implement all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the above modules or units is only one logical function division, and there may be other division manners in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application 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 modules/units described above, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the embodiments may be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. The computer program includes computer program code, and the computer program code may be in a source code form, an object code form, an executable file or some intermediate form. The computer readable medium may include: any entity or device capable of carrying the above-mentioned computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signal, telecommunication signal, software distribution medium, etc. It should be noted that the computer readable medium described above may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media excludes electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims (9)

1. A method for customizing video, comprising:
receiving a video customization demand initiated by a user;
pushing the video customization requirement to more than one expert, determining a target expert according to the feedback state of the expert, and returning the video customization requirement containing the confirmation information of the target expert to the user;
after receiving a video customization demand issuing instruction of the user, issuing the video customization demand to accommodate other second users to participate; the second user is other users with the same video customization requirements;
when the number of users reaches a preset number, confirming that the video customization requirement meets the requirement, and informing the target expert to start to make a target video;
the manufactured target video is disclosed to the user and a second user for watching;
the receiving of the video customization requirement initiated by the user comprises:
detecting whether the video customization requirement is matched with a preset condition; the preset conditions include: the minimum correlation degree of the video customization requirements and the video platform, the feasibility degree of the video customization requirements and the compliance degree of the video customization requirements; the feasibility of the video customization requirement is obtained by statistically calculating all labels contained in the video customization requirement by using a preset formula to obtain a comprehensive difficulty weight of the video customization requirement; when the comprehensive difficulty weight is lower than a preset range, judging that the video customization requirement is not matched with the preset condition;
and if the video customization requirement is matched with the preset condition, determining more than one expert related to the video customization requirement.
2. The method of claim 1, wherein the pushing the video customization request to more than one expert, determining a target expert, and returning the video customization request including confirmation information of the target expert to the user comprises:
aiming at any expert, acquiring historical video scores and historical production time of the expert;
calculating the weight information of the expert according to the historical video scoring and the historical production time of the expert;
and dispatching the video customization requirements to the experts according to the sequence of the weight information from high to low.
3. The method of claim 1, wherein the pushing the video customization request to more than one expert, determining a target expert, and returning the video customization request including confirmation information of the target expert to the user comprises:
receiving feedback states of the more than one expert on the video customization needs;
screening the experts according to the feedback state to obtain an expert set to be selected;
acquiring expert information of each expert in the expert set to be selected and video production information fed back by each expert based on the video customization demand, wherein the video production information comprises price information and time information;
creating an expert list according to the expert information and the video production information;
sending the expert list to the user;
and if a selection instruction sent by the user aiming at the expert list is received, determining the expert pointed by the selection instruction as a target expert.
4. The video customization method of claim 1, wherein the number of users is a total number of the users and the second user.
5. The video customization method according to claim 4, wherein the confirming that the video customization requirement is met when the number of users reaches a preset number of people, and informing the target expert to start producing the target video comprises:
creating a set of target users associated with the video customization needs;
issuing the associated information of the target user set on a platform;
when a joining instruction of the second user based on the target user set is received, joining the second user to the target user set;
and when the number of the target user set reaches a preset number, sending a production confirmation message to the target expert, so that the target expert starts to produce the video based on the video customization requirement under the indication of the production confirmation message.
6. The video customization method according to claim 5, wherein prior to said exposing the finished video to the user and a second user for viewing, comprising:
receiving the target video produced by the target expert based on the video customization requirement;
setting the watching permission of the target video according to the target user set associated with the video customization requirement;
and uploading the target video to a network.
7. A video customization apparatus, comprising:
the receiving unit is used for receiving a video customization demand initiated by a user;
the sending unit is used for pushing the video customization requirements to more than one expert, determining a target expert according to the feedback state of the expert, and returning the video customization requirements containing the confirmation information of the target expert to the user;
the first issuing unit is used for issuing the video customization demand to accommodate other second users to participate after receiving a video customization demand issuing instruction of the user; the second user is other users with the same video customization requirements;
the notification unit is used for confirming that the video customization requirement meets the requirement when the number of users reaches a preset number of people and notifying the target expert to start to make a target video;
the video customizing unit is used for disclosing the manufactured target video to the user and a second user for watching;
the receiving unit includes:
the request detection subunit is used for detecting whether the video customization requirement is matched with a preset condition; the preset conditions include: the minimum correlation degree of the video customization requirements and the video platform, the feasibility degree of the video customization requirements and the compliance degree of the video customization requirements; the feasibility of the video customization requirement is obtained by statistically calculating all labels contained in the video customization requirement by using a preset formula to obtain a comprehensive difficulty weight of the video customization requirement; when the comprehensive difficulty weight is lower than a preset range, judging that the video customization requirement is not matched with the preset condition;
and the expert confirming subunit is used for confirming more than one expert related to the video customizing requirement if the video customizing requirement is matched with the preset condition.
8. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1 to 6 are implemented when the computer program is executed by the processor.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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