A short video production evaluation system

Abstract

This application relates to a short video production evaluation system, belonging to the technical field of video production. It solves the problems that the artificial subjective evaluation method is not objective enough and the evaluation content cannot effectively help the production personnel grow. It includes: The processor obtains the production information of different process parts of short video production through the acquisition module, compares it with the detailed scores of different process parts of short video production retrieved from the first database, and analyzes and obtains the detailed scores of the production information of different process parts of short video production; The processor sorts the process parts through the sorting module, and finally displays the scores of the production personnel in different process parts through the display module. This application has the following effects: It improves the objectivity of the evaluation of short video production content and is beneficial for the producer to understand their own weaknesses.

Description

Technical Field

[0001] The present application relates to the field of video production technology, and in particular to a short video production evaluation system. Background Art

[0002] With the popularization of mobile terminals such as mobile phones and tablets, the improvement of quality of life and changes in lifestyle, it is becoming more and more popular among ordinary consumers to record and share life by taking photos and videos. Compared with static pictures and videos with large data volumes, short videos with rich information and small data volumes are generally popular among people, and more and more people like to use short videos to share their lives.

[0003] For short video production, its evaluation angles can be divided into script production, video resource shooting and film editing and production. The existing evaluation method is mainly a human subjective evaluation method.

[0004] With respect to the above-mentioned related technologies, the inventors found that there are the following defects: the human subjective evaluation method is not objective enough, and the evaluation content cannot effectively help the production staff grow. Summary of the Invention

[0005] In order to improve the objectivity of the evaluation of short video production content and help producers understand their own shortcomings, this application provides a short video production evaluation system.

[0006] This application provides a short video production and evaluation system, which adopts the following technical solutions:

[0007] A short video production and evaluation system, comprising:

[0008] The acquisition module is used to obtain the production information of different parts of the short video production process;

[0009] The first database stores detailed scores of different parts of the short video production process;

[0010] Processors for data processing and analysis;

[0011] A display module is used to display the production staff's scores in different process parts;

[0012] The sorting module is used to sort the process parts according to the scores of the production staff at different process parts;

[0013] The processor obtains the production information of different process parts of the short video production through the acquisition module, compares it with the detailed scores of the different process parts of the short video production retrieved from the first database, and analyzes and obtains the detailed scores of the production information of different process parts of the short video production;

[0014] The processor sorts the process parts through the sorting module and finally displays the scores of the production staff in different process parts through the display module.

[0015] Optionally, the acquisition module includes:

[0016] The short video script production information acquisition module is used to acquire short video script production information;

[0017] The video resource shooting information acquisition module is used to acquire video resource shooting information;

[0018] The finished video editing production information acquisition module is used to acquire finished video editing production information.

[0019] Optionally, a short video production evaluation system further includes:

[0020] The second database stores the learning time spent by the production staff in different process parts of short video production;

[0021] The processor takes the production staff as the query object and queries and obtains the time spent by the production staff in different process parts of short video production from the second database;

[0022] The processor uses the detailed scores of the production information in different process parts of short video production as the dividend one by one, and the learning time spent by the production staff in the corresponding process parts of short video production as the divisor, and takes the obtained quotient as the learning ability value of the corresponding process part;

[0023] The processor sorts through the sorting module according to the learning ability value from high to low.

[0024] Optionally, a short video production evaluation system further includes:

[0025] The third database stores the learning duration of relevant content before the production staff learn in different process parts of short video production;

[0026] The processor takes the production staff as the query object and queries and obtains the learning duration of relevant content before the production staff learn in different process parts of short video production from the third database;

[0027] The processor uses the detailed scores of the production information in different process parts of short video production as the dividend one by one, and the learning time spent by the production staff in the corresponding process parts of short video production and the learning duration of relevant content as the divisor, and takes the obtained quotient as the effective learning ability value of the corresponding process part;

[0028] The processor sorts through the sorting module according to the effective learning ability value from high to low.

[0029] Optionally, a short video production evaluation system further includes:

[0030] The fourth database stores the situation of the one - key optimization tool applied by production staff in different process parts of short - video production and the scoring situation under the one - key optimization tool;

[0031] The processor takes the production staff as the query object and queries from the fourth database to obtain the situation of the one - key optimization tool applied by the production staff in different process parts of short - video production and the scoring situation under the one - key optimization tool;

[0032] The processor takes the difference between the detailed score of the production information in different process parts of short - video production and the score under the one - key optimization tool as the dividend one by one, and takes the learning time consumed by the production staff in the corresponding process part of short - video production and the relevant content learning duration as the divisor, and the quotient obtained is used as the true and effective learning ability value of the corresponding process part;

[0033] The processor uses the sorting module to sort according to the true and effective learning ability value from high to low.

[0034] Optionally, a short - video production evaluation system further includes:

[0035] The fifth database stores the preset number of detail items with the most score losses in the detail scoring part of different process parts of short - video production by production staff;

[0036] The sixth database stores the detail items and the advanced learning materials corresponding to the respective detail items;

[0037] The processor obtains the preset number of detail items with the most score losses in the detail scoring part of different process parts of short - video production by production staff by retrieving the fifth database, and queries and obtains the advanced learning materials corresponding to the respective detail items from the sixth database according to the detail items, and sends them to the terminal held by the production staff.

[0038] Optionally, a short - video production evaluation system further includes:

[0039] The first overall evaluation module is used to evaluate the overall potential value of the production staff according to the true and effective learning ability value and the preset weights of different process parts;

[0040] The processor starts the first overall evaluation module to obtain the true and effective learning ability value of the production staff in different process parts, multiplies it by the weight of the corresponding process part, and the sum obtained by adding them one by one is used as the overall potential value of the production staff.

[0041] Optionally, a short - video production evaluation system is characterized by further including:

[0042] The seventh database stores the position - level information corresponding to the production staff and the detail scoring requirements of different process parts corresponding to the respective positions;

[0043] The processor takes the production staff as the query object, queries and obtains the position level information corresponding to the production staff and the detailed scoring requirements for different process parts corresponding to the corresponding positions from the seventh database;

[0044] The processor analyzes and obtains the detailed scoring difference based on the detailed scoring of the current production staff in different process parts, the position level information corresponding to the production staff, and the detailed scoring requirements for different process parts corresponding to the corresponding positions;

[0045] The processor uses the detailed scoring difference as the dividend and the true and effective learning ability value of the corresponding process part as the divisor, and takes the obtained quotient as the urgency parameter;

[0046] The processor sorts the process parts from largest to smallest according to the urgency coefficient, and sends the advanced learning materials corresponding to the corresponding detailed items to the terminal held by the production staff. Description of the Drawings

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on the structures shown in these drawings without creative efforts.

[0048] Figure 1 is the system frame of a short video production evaluation system according to an embodiment of the present application Figure 1 .

[0049] Figure 2 is the system frame of a short video production evaluation system according to an embodiment of the present application Figure 2 .

[0050] In the figure, 1, acquisition module; 2, first database; 3, processor; 4, display module; 5, sorting module; 6, short video script production information acquisition module; 7, video resource shooting information acquisition module; 8, finished video editing production information acquisition module; 9, second database; 10, third database; 11, fourth database; 12, fifth database; 13, sixth database; 14, first overall evaluation module; 15, seventh database. Detailed Embodiments

[0051] The following further details the present application in conjunction with the drawings.

[0052] Refer to Figure 1, a short video production evaluation system disclosed in the present application, includes an acquisition module 1 for acquiring production information of different process parts of short video production, a first database 2 storing detailed scores of different process parts of short video production, a processor 3 for data processing and analysis, a display module 4 for displaying the scores of production personnel in different process parts, and a sorting module 5 for sorting the process parts according to the scores of production personnel in different process parts.

[0053] Among them, the acquisition module 1 includes a short video script production information acquisition module 6 for collecting short video script production information, a video resource shooting information acquisition module 7 for collecting video resource shooting information, and a finished video editing production information acquisition module 8 for collecting finished video editing production information.

[0054] Specifically, the information collected by the short video script production information acquisition module 6 includes writing a shot script. The script needs to fully reflect the theme and true intention expressed by the short video content, clearly show the dialogue and sound effects, and the length of the shots.

[0055] The information collected by the video resource shooting information acquisition module 7 includes the basic essentials of shooting, shooting techniques of fixed shots and moving shots, as well as the composition methods and the use of shot sizes used during the shooting process. Ensure the content presented by the shot video, the picture quality clarity, smoothness, and stability without jitter, etc.

[0056] The processor 3 acquires the production information of different process parts of short video production through the acquisition module 1, compares it with the detailed scores of different process parts of short video production retrieved from the first database 2, and analyzes the detailed scores of the production information of different process parts of short video production;

[0057] The processor 3 sorts the process parts through the sorting module 5, and finally displays the scores of production personnel in different process parts through the display module 4.

[0058] Further considering the learning ability of each production personnel for different process parts, therefore, a short video production evaluation system further includes a second database 9 storing the learning time consumed by production personnel in different process parts of short video production.

[0059] The processor 3 takes the production personnel as the query object, queries and obtains the time consumed by the production personnel in different process parts of short video production from the second database 9; the processor 3 takes the detailed scores of the production information of different process parts of short video production as the dividend one by one, takes the learning time consumed by the production personnel in the corresponding process parts of short video production as the divisor, and takes the obtained quotient as the learning ability value of the corresponding process part; the processor 3 sorts according to the learning ability value from high to low through the sorting module 5.

[0060] Further considering that the learning experiences of each production staff member before learning different parts of the process vary, and this part of the learning experience will also affect the judgment of the production staff member's learning ability, a short video production evaluation system further includes a third database 10 storing the learning durations of relevant content before the production staff member learns different parts of the short video production process.

[0061] The processor 3 takes the production staff member as the query object, and queries and obtains from the third database 10 the learning durations of relevant content before the production staff member learns different parts of the short video production process; the processor 3 takes the detailed score of the production information of different parts of the short video production as the dividend one by one, and takes the learning time and the learning duration of relevant content consumed by the production staff member in the corresponding part of the short video production process as the divisor, and takes the quotient obtained as the effective learning ability value of the corresponding part of the process; the processor 3 sorts according to the effective learning ability value from high to low through the sorting module 5.

[0062] Further considering that when each production staff member learns a part of the process, some optimization software will be applied, so these interference items should be excluded when judging the learning ability of the production staff member.

[0063] A short video production evaluation system further includes a fourth database 11 storing the situation of the one-key optimization tools applied by the production staff member when making different parts of the short video production and the scoring situation under the one-key optimization tool.

[0064] The processor 3 takes the production staff member as the query object, and queries and obtains from the fourth database 11 the situation of the one-key optimization tools applied by the production staff member when making different parts of the short video production and the scoring situation under the one-key optimization tool.

[0065] The processor 3 takes the difference between the detailed score of the production information of different parts of the short video production and the score under the one-key optimization tool as the dividend one by one, and takes the learning time and the learning duration of relevant content consumed by the production staff member in the corresponding part of the short video production process as the divisor, and takes the quotient obtained as the true effective learning ability value of the corresponding part of the process; the processor 3 sorts according to the true effective learning ability value from high to low through the sorting module 5.

[0066] Further considering that when notifying the production staff member, it is possible to notify the production staff member of the detailed items with more points deducted. A short video production evaluation system further includes a fifth database 12 storing the preset number of detailed items with the most points deducted in the detailed score part of different parts of the short video production by the production staff member, and a sixth database 13 storing the detailed items and the advanced learning materials corresponding to the detailed items.

[0067] The processor 3 retrieves a preset number of detailed items with the most points lost in the detailed scoring of different process parts of short video production from the fifth database 12, and queries and obtains the corresponding advanced learning materials for the corresponding detailed items from the sixth database 13, and sends them to the terminal held by the production staff.

[0068] Further considering that the weights of different process parts are different, when making an overall evaluation of the production staff, adjustments need to be made. A short video production evaluation system further includes a first overall evaluation module 14 for evaluating the overall potential value of the production staff according to the true and effective learning ability value and the preset weights of different process parts.

[0069] The processor 3 activates the first overall evaluation module 14 to obtain the true and effective learning ability values of the production staff in different process parts, multiplies them by the weights of the corresponding process parts, and adds them up one by one. The obtained sum is used as the overall potential value of the production staff.

[0070] Further considering that different job levels of the production staff will also result in different detailed scoring requirements, a short video production evaluation system further includes a seventh database 15 storing the job level information corresponding to the production staff and the detailed scoring requirements of different process parts corresponding to the corresponding positions.

[0071] The processor 3 uses the production staff as the query object to query and obtain the job level information corresponding to the production staff and the detailed scoring requirements of different process parts corresponding to the corresponding positions from the seventh database 15. The processor 3 analyzes and obtains the detailed scoring difference based on the detailed scoring of the current production staff in different process parts, the job level information corresponding to the production staff, and the detailed scoring requirements of different process parts corresponding to the corresponding positions. The processor 3 uses the detailed scoring difference as the dividend and the true and effective learning ability value of the corresponding process part as the divisor, and the obtained quotient is used as the urgency parameter. The processor 3 sorts the process parts from largest to smallest according to the urgency coefficient, and sends the corresponding advanced learning materials for the corresponding detailed items to the terminal held by the production staff.

[0072] The embodiments of this specific implementation manner are all preferred embodiments of this application, and do not limit the protection scope of this application accordingly. Therefore, all equivalent changes made according to the structure, shape, and principle of this application should be covered within the protection scope of this application.

Claims

1. A short video production evaluation system, characterized in that, Including: An acquisition module (1) for acquiring production information of different process parts of short video production; A first database (2) storing detailed scores of different process parts of short video production; A processor (3) for data processing and analysis; A display module (4) for displaying the scores of production personnel in different process parts; A sorting module (5) for sorting process parts according to the scores of production personnel in different process parts; The processor (3) acquires the production information of different process parts of short video production through the acquisition module (1), compares it with the detailed scores of different process parts of short video production retrieved from the first database (2), and analyzes the detailed scores of the production information of different process parts of short video production; The processor (3) sorts the process parts through the sorting module (5), and finally displays the scores of production personnel in different process parts through the display module (4); The acquisition module (1) includes: A short video script production information collection module (6) for collecting short video script production information; A video resource shooting information collection module (7) for collecting video resource shooting information; A finished video editing production information collection module (8) for collecting finished video editing production information.

2. The short video production evaluation system according to claim 1, characterized in that, It also includes: A second database (9) storing the learning time spent by production personnel in different process parts of short video production; The processor (3) takes the production personnel as the query object and queries from the second database (9) to obtain the time spent by production personnel in different process parts of short video production; The processor (3) uses the detailed score of the production information of each different process part of short video production as the dividend, the learning time spent by the production personnel in the corresponding process part of short video production as the divisor, and the obtained quotient as the learning ability value of the corresponding process part; The processor (3) sorts through the sorting module (5) according to the learning ability value from high to low.

3. The short video production evaluation system according to claim 2, wherein, It also includes: A third database (10) storing the relevant content learning duration before production personnel learn in different process parts of short video production; The processor (3) takes the production personnel as the query object and queries from the third database (10) to obtain the relevant content learning duration before production personnel learn in different process parts of short video production; The processor (3) uses the detailed score of the production information of each different process part of short video production as the dividend, the sum of the learning time spent by the production personnel in the corresponding process part of short video production and the relevant content learning duration as the divisor, and the obtained quotient as the effective learning ability value of the corresponding process part; The processor (3) sorts through the sorting module (5) according to the effective learning ability value from high to low.

4. The short video production evaluation system according to claim 3, wherein It also includes: A fourth database (11) storing the situation of production personnel applying one-key optimization tools in different process parts of short video production and the scoring situation under the one-key optimization tools; The processor (3) takes the production personnel as the query object and queries from the fourth database (11) to obtain the situation of production personnel applying one-key optimization tools in different process parts of short video production and the scoring situation under the one-key optimization tools; The processor (3) takes, one by one, the difference between the detailed scores of the production information of different process parts in short video production and the scores under a one - key optimization tool as the dividend, and the learning time spent by the production staff in the corresponding process parts of short video production and the learning duration of relevant content as the divisor, and takes the quotient obtained as the true and effective learning ability value of the corresponding process part; The processor (3) performs sorting by the sorting module (5) according to the true and effective learning ability values from high to low.

5. A short video production evaluation system according to any one of claims 2 to 4, characterized in that, It also includes: The fifth database (12) stores a preset number of detail items with the most points deducted in the detailed score parts of different process parts in short video production by the production staff; The sixth database (13) stores the detail items and the advanced learning materials corresponding to the respective detail items; The processor (3) obtains, by retrieving the fifth database (12), a preset number of detail items with the most points deducted in the detailed score parts of different process parts in short video production by the production staff, and queries and obtains the advanced learning materials corresponding to the respective detail items from the sixth database (13) according to the detail items, and sends them to the terminal held by the production staff.

6. The short video production evaluation system according to claim 4, wherein It also includes: The first overall evaluation module (14) is used to evaluate the overall potential value of the production staff according to the true and effective learning ability value and the preset weights of different process parts; The processor (3) activates the first overall evaluation module (14) to obtain the true and effective learning ability values of the production staff in different process parts, multiplies them by the weights of the corresponding process parts, and takes the sum obtained by adding them one by one as the overall potential value of the production staff.

7. The short video production evaluation system according to claim 6, characterized in that, It also includes: The seventh database (15) stores the position level information corresponding to the production staff and the detailed score requirements of different process parts corresponding to the respective positions; The processor (3) takes the production staff as the query object and queries and obtains the position level information corresponding to the production staff and the detailed score requirements of different process parts corresponding to the respective positions from the seventh database (15); The processor (3) analyzes and obtains the detailed score difference based on the detailed scores of the current production staff in different process parts, the position level information corresponding to the production staff, and the detailed score requirements of different process parts corresponding to the respective positions; The processor (3) takes the detailed score difference as the dividend and the true and effective learning ability value of the corresponding process part as the divisor, and takes the quotient obtained as the urgency parameter; The processor (3) sorts the process parts from largest to smallest according to the urgency coefficient, and sends the advanced learning materials corresponding to the respective detail items to the terminal held by the production staff.

Images