Advertisement design multimedia information system

Abstract

The invention discloses an advertisement design multimedia information system, and relates to the technical field of advertisement design, the advertisement design multimedia information system comprises an advertisement design unit, a release monitoring unit and a database, the advertisement design unit comprises a template analysis module and an advertisement generation module, the release monitoring unit comprises an advertisement release module, a release effect monitoring module and an advertisement promotion analysis module, the video advertisement is generated by analyzing the duration, background music and video special effects of the video advertisement corresponding to the target user, the video advertisement is put in proper putting time, and the advertisement putting effect is monitored; according to the invention, the intelligent production and delivery of the video advertisement are realized, the attraction of the video advertisement and the acceptability of the public are improved, the watching experience of audiences is improved, the promotion effect, the exposure rate and the conversion rate of the video advertisement are guaranteed, and the promotion cost of the advertisement is also reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of advertisement design, and in particular to an advertisement design multimedia information system. Background Art

[0002] With its short and concise features, short videos meet the needs of modern people for fragmented time in their fast-paced lives. Short video platforms have a huge user base covering all age groups and interest areas, and users are highly active. Therefore, accurate design and delivery of video ads based on product features and the characteristics of the target group on the short video platform can increase brand awareness and exposure.

[0003] Prior art, such as the application with publication number CN115760020A, discloses an Internet-based video integrated media content analysis and management system, which includes a module for extracting video of candidate materials, a module for analyzing content of candidate materials, a module for screening candidate materials, a module for acquiring the operation benefit of urban scenic spots, a module for splicing promotional videos of target cities, a module for combining background music of candidate materials, a module for screening promotional videos of target cities and a city information storage repository; the present invention improves the credibility and authenticity of promotional videos of urban scenic spots by screening designated material videos from the corresponding candidate material videos of each urban scenic spot and splicing them into a promotional video of the target city, so that the promotion of urban scenic spots can achieve the expected effect, and combines each candidate background music with the promotional video of the target city to screen out the best promotional video of the target city, which effectively meets the cultural needs of the general public.

[0004] The above technical solution has at least the following deficiencies: 1. Videos on short video platforms are short in length. Therefore, it is necessary to select an appropriate length of video ads based on the viewing rate of videos of different lengths by the target group for the advertisements. The above solution lacks analysis of the video length, and thus cannot guarantee the suitability of the video ad length, which affects the effectiveness of the advertisement.

[0005] 2. Background music and video effects in short videos can not only improve the quality, expressiveness and attractiveness of the video, but also expand the video's dissemination channels and audience groups, and enhance the audience's viewing experience. Therefore, choosing suitable background music and video effects for video advertisements can increase the advertising dissemination effect. However, the choice of background music in the above scheme is based on the beat and style of the music, and there is a lack of choice of video effects. There is no analysis of the novelty of background music and video effects and the acceptance of the target group, which makes it impossible to improve the attractiveness of subsequent videos and the public's acceptance, and it is also impossible to reflect the creativity of the advertisement, and it is impossible to enhance the audience's viewing experience, thus reducing the publicity effect of the advertisement.

[0006] 3. Different groups in short videos have different levels of activity at different times. Therefore, when promoting advertisements, it is necessary to select appropriate promotion time periods based on the online status of the account’s own fan groups and the online status of the user groups on the short video platform. This can increase the traffic of advertisements. However, the above scheme lacks analysis of the promotion time periods of the videos, and thus cannot guarantee the promotion effect, exposure rate, and conversion rate of video advertisements, nor can it reduce the promotion costs of advertisements. Summary of the invention

[0007] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide an advertisement design multimedia information system.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solution: The present invention provides an advertisement design multimedia information system, including: an advertisement design unit and a release monitoring unit.

[0009] The advertisement design unit includes a template analysis module and an advertisement generation module;

[0010] The template analysis module is used to obtain the element data corresponding to the product after the target user uploads the product material data, and analyze the template of the video advertisement corresponding to the product, where the template includes the recommended duration, recommended background music and recommended video special effects template.

[0011] The advertisement generation template is used to import product material data into the template of the video advertisement corresponding to the product to generate the video advertisement corresponding to the product.

[0012] The publishing monitoring unit includes an advertisement publishing module, a publishing effect monitoring module and an advertisement promotion analysis module.

[0013] The advertisement publishing module is used to obtain the historical video publishing data corresponding to the target user account, and obtain the target group data corresponding to the product, analyze the recommended sending time of the product's video advertisement, and provide prompts.

[0014] The publishing effect monitoring module is used to arrange each monitoring moment at preset time intervals after the product video advertisement is sent, collect the promotional data corresponding to each monitoring moment, and analyze the product advertising publishing effect.

[0015] The advertising promotion analysis module is used to utilize the advertising release effect of the product, analyze the recommended promotion time period of the product's corresponding video advertisement, and provide prompts.

[0016] The beneficial effects of the present invention are as follows: 1. The present invention provides an advertising design multimedia information system, which analyzes the duration, background music and video special effects of video advertisements corresponding to target users, generates video advertisements, selects appropriate delivery time for delivery, monitors the effect of advertisement delivery, and performs corresponding promotion according to the delivery effect, thereby realizing intelligent production and delivery of video advertisements, improving the attractiveness of video advertisements and the public's acceptance, enhancing the audience's viewing experience, ensuring the promotion effect, exposure rate and conversion rate of video advertisements, and also reducing the promotion cost of advertisements.

[0017] 2. The present invention selects an appropriate duration of video advertisements according to the viewing rate of videos of various durations by the target group for advertisement delivery, thereby ensuring the suitability of the duration of video advertisements, increasing the user's patience in viewing, reducing the bounce rate caused by lengthy content, and increasing the effect of advertisement delivery.

[0018] 3. The present invention analyzes the novelty of background music and video special effects and the acceptance of the target group, thereby improving the attractiveness of subsequent videos and the public's acceptance, and also reflects the creativity of the advertisement, greatly improving the audience's viewing experience and ensuring the publicity effect of the advertisement.

[0019] 4. When the effect of video advertising is poor, the present invention selects a suitable promotion period based on the online status of the account's own fan group at different time periods and the online status of the user group in the short video platform, which can increase the advertising traffic, thereby ensuring the promotion effect, exposure rate and conversion rate of the video advertising, and also reducing the promotion cost of the advertising. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 As shown, an advertisement design multimedia information system includes: an advertisement design unit, a publishing monitoring unit and a database.

[0024] The advertisement design unit includes a template analysis module and an advertisement generation module.

[0025] The template analysis module is used to obtain the element data corresponding to the product after the target user uploads the product material data, and analyze the template of the video advertisement corresponding to the product, where the template includes the recommended duration, recommended background music and recommended video special effects template.

[0026] It should be noted that the target user needs to upload the relevant materials of the product advertisement to the advertising design multimedia information system, including product posters and product pictures, etc. The advertising design multimedia information system contains multiple copyrighted background music and video special effects templates for users to use.

[0027] In a specific embodiment, the template of the video advertisement corresponding to the analysis product is specifically processed as follows: S1. A number of images are obtained from the product material data, and then image recognition technology is used to obtain each element in each image and the number of occurrences of each element, and then the number of occurrences of each element is divided by the total number of occurrences of each element to obtain the weight of each element, thereby using each element and the weight of each element as element data.

[0028] It should be noted that elements include but are not limited to textures and symbols.

[0029] S2. Obtain element data corresponding to each historical video advertisement from the database, and thereby analyze the target group data corresponding to each element.

[0030] Preferably, the target group data corresponding to each element is analyzed, and the specific process is as follows: the weight of each element corresponding to each historical video advertisement and the attraction index of each group are obtained from the database, and the attraction index set of each group corresponding to each weight in each element is counted.

[0031] It should be noted that the attraction index is the ratio of the number of users in each group to the total number of users in each group.

[0032] Extract the weight of each element in the advertisement, thereby obtaining the attraction index set of each group corresponding to the weight of each element; perform weighted average calculation on each attraction index in the attraction index set to obtain the average attraction index, which is used as the attraction index of each group corresponding to the weight of each element, and the attraction index of each group corresponding to the weight of each element is used as the target group data.

[0033] It should be noted that the groups include young women, young men and middle-aged women, among which young people can be aged 18-35 years old and middle-aged people can be aged 36-50 years old.

[0034] S3. Obtain the viewing data corresponding to each group from the advertising publishing platform, and then use the target group data corresponding to each element to analyze the recommended duration of the video advertisement corresponding to the product.

[0035] The viewing data includes the total duration of each video watched by each user, the viewing duration, and the weight of each element.

[0036] Preferably, the analysis product corresponds to the recommended duration of the video advertisement, and the specific process is as follows: the total duration of each video watched by each user, the watched duration and the weight of each element are obtained from the viewing data corresponding to each group.

[0037] The weights of each element in each video watched by each user in each group are compared with the weights of each element in the advertisement, the overlap rate of elements between each video watched by each user in each group and the advertisement is analyzed, and then the reference viewing videos corresponding to each user in each group are screened out.

[0038] In the above, the weight of each element in each video watched by each user in each group is divided by the weight of the corresponding element in the advertisement, and then the average is calculated to obtain the element overlap rate between each video watched by each user in each group and the advertisement, and compared with the preset overlap rate threshold, and each watched video with a rate greater than the overlap rate threshold is used as a reference watched video.

[0039] It should be noted that the overlap rate threshold is the minimum critical value of the overlap rate, which is set by professionals and can be 0.7 or 0.8.

[0040] Divide the viewing time of each reference video by the total viewing time of each user in each group to obtain the viewing rate of each reference video for each user in each group. Integrate the reference videos with the same total viewing time to obtain the viewing rates of each user in each group for each total viewing time. Then calculate the average to obtain the average viewing rate of each total viewing time in each group.

[0041] The attraction index of each group corresponding to the weight of each element is obtained, and the attraction index of each group corresponding to the weight of each element is multiplied and then added to obtain the attraction index of each group.

[0042] The average viewing rate of each video in each group is recorded as G xy , the attraction index of each group is recorded as F x , where x represents the number of each group, y represents the number corresponding to each total duration, and both x and y are positive integers.

[0043] Using the calculation formula Get the viewing attraction of the yth total viewing time of the video in the xth group Where n represents the total number of groups, and n is a positive integer.

[0044] The viewing attraction of each video with a total viewing duration in each group is added together to obtain the total viewing attraction of each video with a total viewing duration, and the total duration corresponding to the maximum total viewing attraction is selected as the recommended duration of the video advertisement corresponding to the product.

[0045] The present invention selects an appropriate duration of a video advertisement according to the viewing rate of videos of various durations by the target group for advertisement delivery, thereby ensuring the suitability of the duration of the video advertisement, increasing the viewing patience of users, reducing the bounce rate caused by lengthy content, and increasing the effect of advertisement delivery.

[0046] S4. Obtain usage data and effect data corresponding to each background music from the advertising publishing platform, and use the target group data corresponding to each element to analyze the recommended background music for the product's corresponding video advertisement.

[0047] Among them, usage data includes release time, number of users in each group, number of times historical advertisements are used, and weight of each element in each historical advertisement; effect data includes user behavior data of each video; behavior data includes likes, reposts, and collections, etc.

[0048] It should be noted that the release time is the earliest time the background music was used.

[0049] Preferably, the analysis process of the recommended background music for the video advertisement corresponding to the product is as follows: obtaining the release time, the number of users in each group, the number of historical advertisement usages and the weight of each element in each historical advertisement from the usage data corresponding to each background music; obtaining the user behavior data of each background music corresponding to each video from the background music effect data.

[0050] The weights of each element in each historical advertisement in each background music are compared with the weights of each element in advertisements, and the reference advertisements in each background music are screened out. At the same time, the release time of each background music, the number of times historical advertisements are used and the number of reference advertisements are obtained to analyze the novelty of each background music.

[0051] For example, the novelty of each background music is analyzed in the following specific process: based on the release time of each background music, the release time of each background music is obtained, which is recorded as T b ; At the same time, the number of historical advertisements used in each background music and the number of reference advertisements are recorded as M1 b and M2 b .

[0052] Using analytical formula Get the novelty of the bth background music Where M1 represents the total number of historical advertising usage times, T represents the average length of time published, e represents a natural constant, γ1 and γ2 represent the proportional coefficient of advertising usage rate and the proportional coefficient of reference advertising usage rate, respectively.

[0053] It should be noted that the proportional coefficient of the advertising usage rate and the proportional coefficient of the reference advertising usage rate are set by professionals based on the importance of the advertising usage rate and the reference advertising usage rate. When the advertising usage rate has a greater impact on novelty, the proportional coefficient of the advertising usage rate can be set to 0.6, and the proportional coefficient of the reference advertising usage rate can be set to 0.4.

[0054] Short video platforms have a huge user base. When a hot topic or a meme appears, a large number of content creators will quickly imitate and create similar content, resulting in an increase in the content overlap rate. At the same time, the number of times the background music used in the video appears increases. Analyzing the novelty of the background music can screen out background music with less spread, thereby increasing the freshness of video ads and increasing the attractiveness of video ads.

[0055] Using the user behavior data of each group corresponding to each background music and the user behavior data of each video corresponding to each background music, we analyze the acceptance of each group in each background music, denoted as J bx , where b represents the number of each background music, and b is a positive integer.

[0056] Exemplarily, the specific process of analyzing the acceptance of each group in each background music is as follows: based on the user behavior data of each video corresponding to each background music and each reference advertisement, the user behavior data of each reference advertisement video in each background music and the user behavior data of each ordinary video are obtained, and then the behavior data of each group corresponding to each reference advertisement video and each ordinary video are obtained from the user behavior data of each reference advertisement video in each background music and the user behavior data of each ordinary video, and weighted calculations are performed respectively to obtain the average behavior data of each group corresponding to the reference advertisement video and the ordinary video in each background music, which are respectively recorded as W1 and W2. bx and W2 bx .

[0057] Using analytical formula Get the advertising radiation effect coefficient δ of the xth group in the bth background music bx , where ΔW represents the reference behavior data difference.

[0058] It should be noted that the reference behavior data difference represents the maximum permitted behavior data difference, which is set by professionals, and the reference behavior data difference can be 100 or 200. When the behavior data difference is greater than the reference behavior data difference, it indicates that users of the short video platform are much more receptive to ordinary videos with the same background music than to video ads, that is, the popularity of the video ads in the background music is much lower than that of ordinary videos, and the background music is not suitable for use in video ads and cannot increase the attractiveness of the video ads.

[0059] The user behavior data of each group corresponding to each background music is recorded as W1 bx , substitute into the analysis formula Get the acceptance J of the xth group in the bth background music bx , where μ1 and μ2 represent the proportion coefficient of using user behavior data and the proportion coefficient of advertising radiation effect coefficient, respectively, and W1 x Represents the sum of user behavior data of the x-th group.

[0060] It should be noted that the process of setting the proportional coefficient of using user behavior data and the proportional coefficient of advertising radiation effect coefficient is the same as the process of setting the proportional coefficient of advertising usage rate and the proportional coefficient of reference advertising usage rate, and will not be repeated here.

[0061] The larger the ratio of a group's user behavior data to the total user behavior data of the group in a certain background music, it means that the group is more likely to accept the background music. Choosing background music with a larger ratio can effectively increase the publicity effect of video advertising.

[0062] According to the analytical formula Get the attractiveness φ of the xth group in the bth background music bx ; Accumulate the attractiveness of each group in each background music to obtain the group attractiveness of each background music.

[0063] The novelty and attractiveness of each background music are recorded as and φ b , substitute into the calculation formula Get the priority eigenvalue α of the bth background music b , where ε1 and ε2 represent the proportional coefficient of novelty and the proportional coefficient of attractiveness respectively.

[0064] It should be noted that the process of setting the proportional coefficient of novelty and the proportional coefficient of attractiveness is the same as the process of setting the proportional coefficient of advertising usage rate and the proportional coefficient of reference advertising usage rate, and will not be repeated here.

[0065] The background music corresponding to the maximum priority feature value is selected from the priority feature values ​​of each background music as the recommended background music for the video advertisement corresponding to the product.

[0066] S5. Obtain usage data and effect data corresponding to each video special effect template from the advertising publishing platform, and use the target group data corresponding to each element to analyze the recommended video special effect template for the product's corresponding video advertisement.

[0067] It should be noted that the analysis process of the recommended video special effects template for the product corresponding video advertisement is the same as the analysis process of the recommended background music for the product corresponding video advertisement, which will not be repeated here.

[0068] The present invention analyzes the novelty of background music and video special effects and the acceptance of the target group, thereby improving the attractiveness of subsequent videos and the acceptance of the public, and also reflects the creativity of the advertisement, greatly improving the audience's viewing experience and ensuring the publicity effect of the advertisement.

[0069] The advertisement generation template is used to import product material data into the template of the video advertisement corresponding to the product to generate the video advertisement corresponding to the product.

[0070] The publishing monitoring unit includes an advertisement publishing module, a publishing effect monitoring module and an advertisement promotion analysis module.

[0071] The advertisement publishing module is used to obtain the historical video publishing data corresponding to the target user account, and obtain the target group data corresponding to the product, analyze the recommended sending time of the product's video advertisement, and provide prompts.

[0072] The historical video release data corresponding to the target user account is obtained from the database, and the historical video release data includes the release time of each historical video, the behavior data of each group and the growth rate of the behavior data of each group.

[0073] In a specific embodiment, the recommended sending time of the video advertisement of the analyzed product is specifically processed as follows: the release time of each historical video, the behavior data of each group and the growth rate of the behavior data of each group are obtained from the historical video release data corresponding to the target user account, and the weight of each element corresponding to the product is extracted to obtain the attraction index of each group, thereby confirming the reference sending time set corresponding to the target user account.

[0074] Preferably, the release times of each historical video are compared with each other, and the historical videos corresponding to each release time are statistically obtained, and the behavior data of each group in each historical video corresponding to each release time and the growth rate of the behavior data of each group are normalized, and then the mean is calculated to obtain the publicity effect value of each group in each historical video corresponding to each release time, and then the publicity effect value of each group in each historical video corresponding to each release time is averaged to obtain the average publicity effect value of each group corresponding to each release time; the attraction index of each group is obtained, and the average publicity effect value of each group corresponding to each release time is multiplied by the attraction index of the corresponding group, and then added to obtain the publicity feature value of each release time, and then compared with the preset publicity feature value threshold, and each release time with a publicity feature value greater than the publicity feature value threshold is selected as the reference sending time corresponding to the target user account, thereby obtaining the reference sending time set corresponding to the target user account.

[0075] Among them, the publicity feature value threshold is the critical value for judging whether the publicity effect is good or not, which is set by professionals. When the publicity feature value is greater than the publicity feature value threshold, it indicates that the publicity effect is good, otherwise it indicates that the publicity effect is not good. Assume that the publicity feature value of a certain release time is 12, and the publicity feature value threshold is 18, 12 < 18, which indicates that the publicity effect at the release time is not good, and the video in the target user account is not suitable for release at that time.

[0076] Obtain the behavioral data of each user in each group at each time period from the advertising publishing platform, and confirm the reference sending time periods of the product target groups.

[0077] Preferably, the behavior data of each user in each group in each time period are accumulated to obtain the behavior data of each group in each time period, the behavior data of each group in each time period are normalized and multiplied by the attraction index of each group, and then accumulated to obtain the behavior characteristic value of each time period, which is then compared with a preset behavior characteristic value threshold, and each time period with a behavior characteristic value greater than the behavior characteristic value threshold is selected as the reference sending time period.

[0078] Among them, the behavior characteristic value threshold is the critical value for judging whether the user behavior is active, which is set by professionals. When the behavior characteristic value is greater than the behavior characteristic value threshold, it indicates that the user is relatively active, otherwise it indicates that the user is not active. For example: the behavior characteristic value of a certain period of time is 6, and the behavior characteristic value threshold is 3, 6>3, indicating that the user in this period of time is relatively active, and video advertisements can be released during this period of time.

[0079] According to the reference sending time set corresponding to the target user account and the reference sending time periods of the product target group, the recommended sending time of the product video advertisement is determined.

[0080] Among them, when a reference sending time in the reference sending time set corresponding to the target user account is within a reference sending time period, the reference sending time is used as the candidate time, thereby obtaining various candidate times, and then selecting the smallest time as the recommended sending time for the product video advertisement.

[0081] The publishing effect monitoring module is used to arrange each monitoring moment at preset time intervals after the product video advertisement is sent, collect the promotional data corresponding to each monitoring moment, and analyze the product advertising publishing effect.

[0082] It should be noted that the promotional data includes the number of views and the number of product purchases. The video advertisement of the product is associated with the sales link of the product, and the user can directly click on the sales link of the product to purchase the product. The preset time interval can be 30 minutes or 40 minutes, etc.

[0083] In a specific embodiment, the analysis effect of the advertising release effect of the product is as follows: the promotional data corresponding to each monitoring moment is calculated through a rate of change formula, the promotional data growth rate is analyzed, and the video advertising release time of the product is extracted, and the promotional data and the promotional data growth rate at each monitoring moment in each historical video with the same release time are extracted from the database, and then a weighted average calculation is performed to obtain the reference promotional data and the reference promotional data growth rate at each monitoring moment, and the data are input into the release effect analysis model to output the numerical value of the product's advertising release effect.

[0084] The value of the product's advertising release effect includes values ​​of 1 and 0. When the value of the product's advertising release effect is 1, it indicates that the product's advertising release effect is good, otherwise it indicates that the product's advertising release effect is poor.

[0085] For example, the promotional data corresponding to each monitoring time is recorded as XC t , represents the number of each monitoring moment, t is a positive integer greater than 1, and the change rate calculation formula is: Get the promotional data growth rate BC, XC t-1 It represents the publicity data corresponding to the t-1th monitoring moment, and q represents the number of monitoring moments.

[0086] The reference publicity data and the reference publicity data growth rate at each monitoring moment are respectively recorded as XC t ′ and BC′, the expression of the release effect analysis model is Where ψ is the value of the product’s advertising effectiveness.

[0087] The advertising promotion analysis module is used to utilize the advertising release effect of the product, analyze the recommended promotion time period of the product's corresponding video advertisement, and provide prompts.

[0088] In a specific embodiment, the recommended promotion period of the video advertisement corresponding to the analyzed product is specifically processed as follows: when the advertising effect of the product is good, the product is not promoted; when the advertising effect of the product is poor, the product is recommended.

[0089] The number of online users in each group in each time period and the number of online users in each group in the target user account are obtained from the advertising publishing platform, the recommendation index of each time period is analyzed, and the time period with the largest recommendation index is selected as the recommended promotion period for the corresponding video advertisement of the product.

[0090] Among them, the attraction index of each group is obtained, and the number of online users in each group in each time period and the number of online users of each group in the target user account are multiplied by the attraction index of the corresponding group respectively to obtain the recommendation index of each group in each time period and the recommendation index of each group in the target user account, and then the recommendation index of each group in each time period and the recommendation index of each group in the target user account are added to obtain the recommendation index of each time period.

[0091] The database is used to store the element data corresponding to each historical video advertisement, the weight of each element corresponding to each historical video advertisement and the attraction index of each group, the target user account corresponding to each historical video release data and the publicity data and publicity data growth rate at each monitoring moment in each historical video.

[0092] When the effect of video advertising is poor, the present invention selects a suitable promotion period based on the online status of the account's own fan group at different time periods and the online status of the user group in the short video platform, which can increase the advertising traffic, thereby ensuring the promotion effect, exposure rate and conversion rate of the video advertising, and also reducing the promotion cost of the advertising.

[0093] The embodiment of the present invention generates a video advertisement by analyzing the duration, background music and video special effects of the video advertisement corresponding to the target user, selects an appropriate delivery time for delivery, monitors the effect of the advertisement delivery, and performs corresponding promotion according to the delivery effect, thereby realizing intelligent production and delivery of video advertisements, improving the attractiveness of video advertisements and the public's acceptance, enhancing the audience's viewing experience, ensuring the promotion effect, exposure rate and conversion rate of video advertisements, and also reducing the promotion cost of advertisements.

[0094] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. An advertisement design multimedia information system, characterized in that: include: Advertisement design unit and release monitoring unit; The advertisement design unit includes a template analysis module and an advertisement generation module; The template analysis module is used to obtain the element data corresponding to the product after the target user uploads the product material data, and analyze the template of the video advertisement corresponding to the product, wherein the template includes the recommended duration, recommended background music and recommended video special effect template; The advertisement generation template is used to import product material data into the template of the video advertisement corresponding to the product, and generate the video advertisement corresponding to the product; The publishing monitoring unit includes an advertisement publishing module, a publishing effect monitoring module and an advertisement promotion analysis module; The advertisement publishing module is used to obtain the historical video publishing data corresponding to the target user account, obtain the target group data corresponding to the product, analyze the recommended sending time of the product's video advertisement, and provide prompts; The publishing effect monitoring module is used to arrange each monitoring moment at a preset time interval after the video advertisement of the product is sent, collect the publicity data corresponding to each monitoring moment, and analyze the advertising publishing effect of the product; The advertising promotion analysis module is used to utilize the advertising release effect of the product, analyze the recommended promotion time period of the product's corresponding video advertisement, and provide prompts.

2. The advertising design multimedia information system according to claim 1, characterized in that: The analysis product corresponds to the template of the video advertisement, and the specific process is as follows: S1. Obtain several images from product material data, and then use image recognition technology to obtain each element in each image and the number of occurrences of each element, and then divide the number of occurrences of each element by the total number of occurrences of each element to obtain the weight of each element, thereby taking each element and the weight of each element as element data; S2, obtaining element data corresponding to each historical video advertisement from the database, thereby analyzing the target group data corresponding to each element; S3. Obtain viewing data corresponding to each group from the advertising publishing platform, and then use the target group data corresponding to each element to analyze the recommended duration of the video advertisement corresponding to the product; S4. Obtain usage data and effect data corresponding to each background music from the advertising publishing platform and use the target group data corresponding to each element to analyze the recommended background music for the video advertisement corresponding to the product; S5. Obtain usage data and effect data corresponding to each video special effect template from the advertising publishing platform, and use the target group data corresponding to each element to analyze the recommended video special effect template for the product's corresponding video advertisement.

3. The advertisement design multimedia information system according to claim 2, characterized in that: The specific process of analyzing the target group data corresponding to each element is as follows: Obtain the weights of each element corresponding to each historical video advertisement and the attraction index of each group from the database, and thereby calculate the attraction index set of each group corresponding to each weight in each element; Extract the weight of each element in the advertisement, thereby obtaining the weight of each element corresponding to the attractiveness index set of each group; The weighted average of each attraction index in the attraction index set is calculated to obtain the average attraction index, which is used as the attraction index of each group corresponding to the weight of each element, and the attraction index of each group corresponding to the weight of each element is used as the target group data.

4. The advertisement design multimedia information system according to claim 3, characterized in that: The analysis product corresponds to the recommended duration of the video advertisement, and the specific process is as follows: Obtain the total viewing time, viewing time and weight of each element of each video watched by each user from the viewing data corresponding to each group; The weights of the elements in the videos watched by the users in each group are compared with the weights of the elements in the advertisements, the overlap rates of the elements in the videos watched by the users in each group and the advertisements are analyzed, and then the reference videos watched by the users in each group are selected; Divide the viewing time of each reference video by the total viewing time of each user in each group to obtain the viewing rate of each reference video in each group. Integrate the reference videos with the same total viewing time to obtain the viewing rates of each user in each group for each total viewing time. Then calculate the average to obtain the average viewing rate of each total viewing time in each group. Obtain the attraction index of each group corresponding to the weight of each element, multiply the attraction index of each group corresponding to the weight of each element, and then add them up to obtain the attraction index of each group; The average viewing rate of each video in each group is recorded as G xy , the attraction index of each group is recorded as F x , where x represents the number of each group, y represents the number corresponding to each total duration, and both x and y are positive integers; Using the calculation formula Get the viewing attraction of the yth total viewing time of the video in the xth group Where n represents the total number of groups, n is a positive integer; The viewing attraction of each video with a total viewing duration in each group is added together to obtain the total viewing attraction of each video with a total viewing duration, and the total duration corresponding to the maximum total viewing attraction is selected as the recommended duration of the video advertisement corresponding to the product.

5. The advertisement design multimedia information system according to claim 4, characterized in that: The analysis process of the recommended background music for the video advertisement corresponding to the product is as follows: Obtain the release time, the number of users in each group, the number of times the historical advertisements are used, and the weight of each element in each historical advertisement from the usage data corresponding to each background music; obtain the user behavior data of each video corresponding to each background music from the effect data of each background music; The weights of each element in each historical advertisement in each background music are compared with the weights of each element in advertisements, and the reference advertisements in each background music are screened out. At the same time, the release time of each background music, the number of times historical advertisements are used, and the number of reference advertisements are obtained to analyze the novelty of each background music; Using the user behavior data of each group corresponding to each background music and the user behavior data of each video corresponding to each background music, we analyze the acceptance of each group in each background music, denoted as J bx , where b represents the number of each background music, and b is a positive integer; According to the analytical formula Get the attractiveness φ of the xth group in the bth background music bx ; Accumulate the attractiveness of each group in each background music to obtain the group attractiveness of each background music; The novelty and attractiveness of each background music are recorded as and φ b , substitute into the calculation formula Get the priority eigenvalue α of the bth background music b , where ε1 and ε2 represent the proportional coefficient of novelty and the proportional coefficient of attractiveness respectively; The background music corresponding to the maximum priority feature value is selected from the priority feature values ​​of each background music as the recommended background music for the video advertisement corresponding to the product.

6. The advertisement design multimedia information system according to claim 5, characterized in that: The specific process of analyzing the novelty of each background music is as follows: Based on the release time of each background music, obtain the release duration of each background music, recorded as T b ; At the same time, the number of historical advertisements used in each background music and the number of reference advertisements are recorded as M1 b and M2 b ; Using analytical formula Get the novelty of the bth background music Where M1 represents the total number of historical advertising usage times, T represents the average length of time published, e represents a natural constant, γ1 and γ2 represent the proportional coefficient of advertising usage rate and the proportional coefficient of reference advertising usage rate, respectively.

7. The advertisement design multimedia information system according to claim 5, characterized in that: The specific process of analyzing the acceptance of each group in each background music is as follows: Based on the user behavior data of each video corresponding to each background music and each reference advertisement, the user behavior data of each reference advertisement video in each background music and the user behavior data of each ordinary video are obtained, and then the behavior data of each group corresponding to each reference advertisement video and each ordinary video are obtained from the user behavior data of each reference advertisement video in each background music and the user behavior data of each ordinary video, and weighted calculations are performed respectively to obtain the average behavior data of each group corresponding to the reference advertisement video and the ordinary video in each background music, which are respectively recorded as W1 bx and W2 bx ; Using analytical formula Get the advertising radiation effect coefficient δ of the xth group in the bth background music bx , where ΔW represents the reference behavior data difference; The user behavior data of each group corresponding to each background music is recorded as W1 bx , substitute into the analytical formula Get the acceptance J of the xth group in the bth background music bx , where μ1 and μ2 represent the proportion coefficient of using user behavior data and the proportion coefficient of advertising radiation effect coefficient, respectively, and W1 x Represents the sum of user behavior data of the x-th group.

8. The advertisement design multimedia information system according to claim 1, characterized in that: The recommended sending time of the video advertisement of the analyzed product is as follows: Obtain the release time of each historical video, the behavior data of each group and the growth rate of the behavior data of each group from the historical video release data corresponding to the target user account, and extract the attraction index of each group corresponding to the weight of each element of the product, thereby confirming the reference sending time set corresponding to the target user account; Obtain the behavior data of each user in each group at each time period from the advertising publishing platform to confirm the reference sending time periods of the product target groups; According to the reference sending time set corresponding to the target user account and the reference sending time periods of the product target group, the recommended sending time of the product video advertisement is determined.

9. The advertisement design multimedia information system according to claim 1, characterized in that: The analysis results of the advertising effect of the product are as follows: The promotional data corresponding to each monitoring moment is calculated through the change rate calculation formula, the promotional data growth rate is analyzed, and the video advertisement release time of the product is extracted. The promotional data and the promotional data growth rate at each monitoring moment in each historical video with the same release time are extracted from the database, and then a weighted average calculation is performed to obtain the reference promotional data and the reference promotional data growth rate at each monitoring moment, and the reference promotional data growth rate are input into the release effect analysis model to output the numerical value of the product's advertising release effect; The value of the product's advertising release effect includes values ​​of 1 and 0. When the value of the product's advertising release effect is 1, it indicates that the product's advertising release effect is good, otherwise it indicates that the product's advertising release effect is poor.

10. The advertisement design multimedia information system according to claim 1, characterized in that: The analysis product corresponds to the recommended promotion period of the video advertisement, and the specific process is as follows: When the advertising effect of a product is good, it will not be promoted. When the advertising effect of a product is poor, it will be recommended. The number of online users in each group in each time period and the number of online users in each group in the target user account are obtained from the advertising publishing platform, the recommendation index of each time period is analyzed, and the time period with the largest recommendation index is selected as the recommended promotion period for the corresponding video advertisement of the product.

Images