AIGC-based short video batch creation and distribution management method and system

Abstract

The invention discloses an AIGC-based short video batch creation and distribution management method and system. The method comprises the steps of analyzing features of video creation audiences based on a creator short video material library to obtain video creation audience portrait information; performing noise reduction processing and key feature extraction on the creator short video material library to obtain material key feature information, and performing deletion processing based on the material key feature information to obtain a plurality of preprocessed short video materials; splicing and editing the preprocessed short video materials based on editing habit information of a creator, and verifying whether semantics are clear and coherent or not to generate a created and edited video; according to the method, main accounts of a creator are created on different platforms, whether the creator creates sub-accounts or not is judged based on personal positioning and personal willingness of the creator, if yes, the sub-accounts are created, and the main accounts and the sub-accounts jointly construct a multi-platform account matrix of the creator. The method has the effect of improving the AIGC-based short video batch creation and distribution management efficiency.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence technology, and in particular to a method and system for batch creation and distribution management of short videos based on AIGC. Background Art

[0002] Currently, AIGC (Artificial Intelligence Generated Content) utilizes artificial intelligence to automatically generate various types of content, including text, images, audio, video, and other multimedia formats. Its core approach is to leverage advanced technologies such as deep learning, natural language processing (NLP), and computer vision to enable machines to understand, generate, and optimize content, thereby automating and intelligentizing the content production process. A wide variety of short videos are now appearing on the internet, significantly impacting people's entertainment. In the current internet age, video creation is accessible to everyone, making the mass creation, distribution, and management of short videos crucial.

[0003] The existing method for batch creation and distribution management of short videos based on AIGC refers to creating videos with AI, batch mixing, setting subtitles, filters, etc., and publishing them uniformly on various platforms. However, the existing method for batch creation and distribution management of short videos based on AIGC is too simple and does not perform bilateral high-precision matching between creators and viewers, resulting in low video traffic for creators and poor viewing experience for viewers. The efficiency of batch creation and distribution management of short videos based on AIGC is insufficient. Summary of the Invention

[0004] In order to improve the efficiency of batch creation and distribution management of short videos based on AIGC, this application provides a method and system for batch creation and distribution management of short videos based on AIGC.

[0005] This application provides a method and system for managing batch creation and distribution of short videos based on AIGC, which adopts the following technical solutions:

[0006] In a first aspect, a method and system for managing batch creation and distribution of short videos based on AIGC includes the following steps:

[0007] Step S1: Obtain a short video material library of the creator, and analyze the characteristics of the audience of the creation video based on the creator's short video material library to obtain the audience portrait information of the creation video;

[0008] Step S2: noise reduction and key feature extraction are performed on the creator's short video material library to obtain key feature information of the material, and deletion processing is performed based on the key feature information of the material to obtain multiple pre-processed short video materials;

[0009] Step S3: splicing and editing the pre-processed short video materials based on the creator's editing habit information, and verifying whether the semantics are clear and coherent to generate a creative editing video;

[0010] Step S4: Create a main account for the creator on different platforms, and determine whether the creator should create a sub-account based on the creator's personal positioning and personal wishes. If it is reasonable, create a sub-account. The main account and the sub-account jointly build the creator's multi-platform account matrix;

[0011] Step S5: Based on the audience portrait information of the created video and the platform operation mode, the main account distribution parameters of each platform are determined and published to each main account. The created and edited video is segmented and polished to obtain special cuts and pull-outs for each sub-account, and the targeted audience group of each sub-account is determined. Then, the sub-account distribution parameters of each sub-account on different platforms are determined and published to each sub-account.

[0012] Preferably, a creator's short video material library is obtained, wherein the creator's short video material library includes one or more short video materials;

[0013] Obtaining the core demands of creators, including attracting traffic, monetizing traffic, brand exposure, and attracting private domain traffic;

[0014] Based on the content of each short video material in the creator's short video material library and the creator's core appeal information, a portrait analysis of the creator's target audience is conducted to obtain the audience portrait information of the creative video.

[0015] Preferably, based on the video noise reducer, a particle noise removal operation is performed on the video frames of each short video material, and a visual noise reduction completion signal is output after completion; an operation is performed on the background noise of the video frames in each short video material, and a background sound noise reduction completion signal is output after completion; a material noise reduction completion signal is output after receiving the visual noise reduction completion signal and the background sound noise reduction completion signal; and after receiving the material noise reduction completion signal, each short video material in the creator's short video material library is updated in real time;

[0016] Dividing each short video material into material video content and material audio content based on the content display type of each short video material;

[0017] Extract key features from the source video content based on the creator's core appeal information to obtain key feature video frames, and retain the audio corresponding to the key feature video frames to obtain feature-corresponding audio frames;

[0018] Extract key features from the audio content of the material based on the core appeal information of the creator to obtain key feature audio frames, and retain the video corresponding to the key feature audio frames to obtain feature corresponding video frames;

[0019] The key feature video frame and the key feature audio frame are combined to form a first type of required key feature information, and the feature corresponding audio frame and the feature corresponding video frame are combined to form a second type of required key feature information, wherein the first type of required key feature information and the second type of required key feature information are combined to form material key feature information;

[0020] Based on the key feature information of the material, the short video material content in the creator's short video material library is divided into valid material content and invalid material content;

[0021] The invalid material content in each short video material in the creator's short video material library is deleted to obtain multiple pre-processed short video material libraries.

[0022] Preferably, the creator's editing habit information is obtained and cached;

[0023] Based on AIGC, the plurality of pre-processed short video materials are spliced ​​and edited according to the creator's editing habit information to obtain a first-stage edited video;

[0024] Based on the importance of each pre-processed short video material in the first-stage edited video, the playback speed of the video content in each pre-processed short video material is preset to obtain multiple material playback speeds, and based on the multiple material playback speeds, each pre-processed short video material in the first-stage edited video is adjusted to obtain the second-stage edited video;

[0025] Verify the coherence of the splicing of the pre-processed short video materials in the second-stage edited video. If not, adjust the splicing order of the pre-processed short video materials until the pre-processed short video materials are semantically coherent after splicing to obtain the first type of editing adjustment information, and output a semantic coherence verification success signal;

[0026] Verify whether the semantics of the preliminary edited short video are clear. If so, output a preliminary edit semantic clarity signal. If not, mark it as semantically ambiguous content. Acquire the creator's historical creative material library. Based on the historical creative material library and big data technology, search for analytical annotations for the semantically ambiguous content and create analytical additional content. Add the analytical additional content to the semantically ambiguous content to obtain the second type of editing adjustment information, and output a semantic clarity verification success signal.

[0027] After receiving the semantic coherence verification success signal and the semantic clarity verification success signal, an editing verification success signal is output, and the second-stage editing video is adjusted based on the first type of editing adjustment information and the second type of editing adjustment information to obtain the original editing video.

[0028] Preferably, a creator's platform master account is created on different platforms based on the creator's personal information, wherein the account ID of all platform master accounts is the same;

[0029] Based on the creator's personal positioning and personal wishes, determine whether to create a sub-account for the creator on each platform. If created, set the account ID of the sub-account on each platform and the positioning direction of the sub-account;

[0030] A multi-platform account matrix of the creator is constructed based on the main accounts of each platform and the sub-accounts of each platform.

[0031] Preferably, the target audience of the creation and editing video is captured based on the audience portrait information of the creation video;

[0032] Obtaining the platform active time periods of the target audience based on big data technology, and determining the video publishing time periods of the main account based on the platform active time periods of the target audience;

[0033] Determine the publishing format of creator content based on the operating mode of each platform to obtain the platform publishing format requirements of each platform;

[0034] The video publishing period of the master account and the platform publishing format requirements of each platform are combined to form the master account distribution parameters of each platform;

[0035] Based on the video release period of each platform and the platform release format requirements of each platform, the created and edited videos will be released on the main account of each platform.

[0036] Preferably, based on the sub-account positioning direction of each sub-account in different platforms, the creation and editing video is segmented to obtain multiple sub-account corresponding pull films;

[0037] Based on the creator's personal positioning and the sub-account positioning direction of each sub-account, the corresponding pull-up film of each sub-account is polished to obtain a special cut pull-up film for each sub-account;

[0038] Based on the sub-account positioning direction of each sub-account, the target audience of the video creation and editing is screened by account partitioning to obtain the corresponding audience of each sub-account and mark it as the targeted audience of each sub-account;

[0039] Obtaining the platform active time periods of the targeted audience groups of each sub-account based on big data technology, and determining the video release time periods of each sub-account based on the platform active time periods of the targeted audience groups;

[0040] The video publishing period of the sub-account and the platform publishing format requirements of each platform are combined to form the sub-account distribution parameters of each sub-account on different platforms;

[0041] Based on the video release period of the sub-account and the platform release format requirements of each platform, the special cut-out clips of each sub-account are released on the corresponding sub-account.

[0042] Secondly, this application provides a short video batch creation and distribution management system based on AIGC, which adopts the following technical solutions:

[0043] An AIGC-based short video batch creation and distribution management system, including:

[0044] A creative video audience analysis module is configured to obtain a creator's short video material library, analyze the characteristics of the creative video audience based on the creator's short video material library, and obtain creative video audience portrait information;

[0045] A material preprocessing module is configured to perform noise reduction processing and key feature extraction on the creator's short video material library to obtain key feature information of the material, and perform deletion processing based on the key feature information of the material to obtain multiple preprocessed short video materials;

[0046] A creative editing module is configured to splice and edit the pre-processed short video materials based on the creator's editing habits, verify whether the semantics are clear and coherent, and generate a creative editing video;

[0047] An account matrix building module is configured to create a creator's main account on different platforms and determine whether the creator should create a sub-account based on the creator's personal positioning and personal wishes. If it is reasonable, the sub-account will be created. The main account and the sub-account jointly build the creator's multi-platform account matrix;

[0048] The cross-platform distribution management module is configured to determine the main account distribution parameters of each platform based on the audience portrait information of the created video and the platform operation mode and publish them to each main account, divide and polish the created and edited videos to obtain special cuts and pull-outs for each sub-account, judge the targeted audience group of each sub-account, and then determine the sub-account distribution parameters of each sub-account on different platforms and publish them with each sub-account.

[0049] In summary, this application includes at least one of the following beneficial technical effects:

[0050] 1. The creator's main account is created on different platforms using the creator's personal information, and the account ID of all main accounts is consistent, which facilitates search by viewers and improves the accuracy of the creator's account's multi-platform positioning and traffic diversion. Based on the creator's personal positioning and personal wishes, it is determined whether to create a sub-account for the creator on different platforms. If created, the sub-account's positioning direction is determined based on the creator's personal positioning direction. The account ID of the sub-account is associated with the account ID of the creator's main account, and the sub-account's positioning direction is briefly described. This further improves the accuracy of viewers' searches for creators, further improving the accuracy of the creator's account's multi-platform positioning and traffic diversion, and improving the efficiency of batch creation and distribution management of short videos based on AIGC;

[0051] 2. Through the creator's personal positioning and sub-account positioning direction, the soundtrack, subtitles, special effects or filters in the special cut-out film can be personalized to make it more suitable for the creator's personality and more suitable for the sub-account positioning direction, so as to facilitate the attraction of more user traffic that is highly matched with the creator, and achieve a high degree of matching between creators and viewing users during the batch creation and distribution management of short videos, thereby improving the efficiency of batch creation and distribution management of short videos based on AIGC. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a flow chart of the method for batch creation and distribution management of short videos based on AIGC;

[0053] Figure 2 This embodiment mainly reflects the module diagram of the AIGC short video batch creation and distribution management system.

[0054] Figure numerals: 1. Video creation audience analysis module; 2. Material pre-processing module; 3. Creation and editing module; 4. Account matrix building module; 5. Cross-platform distribution management module. DETAILED DESCRIPTION

[0055] The present application is further described in detail below with reference to the accompanying drawings.

[0056] The embodiment of the present application discloses a method for batch creation and distribution management of short videos based on AIGC.

[0057] A method for batch creation and distribution management of short videos based on AIGC, comprising the following steps:

[0058] Reference Figure 1 Step S1: Obtain the creator's short video material library, and analyze the characteristics of the audience of the creation video based on the creator's short video material library to obtain the audience portrait information of the creation video. Step S1 specifically includes the following sub-steps:

[0059] Get the creator's short video material library, which includes one or more short video materials.

[0060] Obtain the core demand information of creators, which includes attracting traffic, monetizing traffic, brand exposure, and private domain traffic.

[0061] Based on the content of each short video material in the creator's short video material library and the creator's core appeal information, a portrait analysis of the creator's target audience is conducted to obtain the audience portrait information of the creative video.

[0062] Let's take an example to illustrate: If multiple short video materials in the creator's short video material library are introductions to maternal and child products, and the creator's core appeal for creation is to attract traffic, then the target audience portrait of the creator's video is mothers with babies, and the related audience portrait is pregnant mothers and family members with infants and young children at home.

[0063] Among them, the target audience portrait and the related audience portrait are combined to form the audience portrait information of the creative video.

[0064] Reference Figure 1 In step S2, the creator's short video material library is subjected to noise reduction processing and key feature extraction to obtain key feature information of the material, and a plurality of pre-processed short video materials are obtained based on the key feature information of the material. Step S2 specifically includes the following sub-steps:

[0065] Based on the video denoiser, the particle noise in the video frame of each short video material is removed, and a visual noise reduction completion signal is output after completion. It should be noted that the video denoiser in the embodiment of the present application refers to the PixelFox AI video denoiser. The background noise of the video frame in each short video material is removed, and a background noise reduction completion signal is output after completion. When the visual noise reduction completion signal and the background noise reduction completion signal are received, it is determined that each short video material has completed the noise reduction operation, and a material noise reduction completion signal is output. After receiving the material noise reduction completion signal, each short video material in the creator's short video material library is updated in real time.

[0066] Each short video material is divided into material video content and material audio content based on the content display type of each short video material.

[0067] Based on the creator's core demand information, the key features in the material video content are extracted to obtain key feature video frames, and the audio corresponding to the key feature video frames is retained to obtain feature corresponding audio frames.

[0068] Let's take an example to illustrate: when the creator's core demand is brand exposure, video frames of products of a brand with brand exposure needs and video frames related to the brand or the brand's products in the material video content are extracted and integrated to obtain key feature video frames.

[0069] Based on the creator's core demand information, key features in the audio content of the material are extracted to obtain key feature audio frames, and the video corresponding to the key feature audio frames is retained to obtain feature corresponding video frames.

[0070] Let's take an example to illustrate: when the creator's core demand is brand exposure, audio frames of products under the brand with brand exposure needs and audio frames related to the brand or the brand's products in the material audio content are extracted and integrated to obtain key feature audio frames.

[0071] The key feature video frame and the key feature audio frame are combined to form the first type of required key feature information, and the feature corresponding audio frame and the feature corresponding video frame are combined to form the second type of required key feature information, wherein the first type of required key feature information and the second type of required key feature information are combined to form the material key feature information.

[0072] Based on the key feature information of the material, the short video material content in the creator's short video material library is divided into valid material content and invalid material content.

[0073] Specifically, the content in the material video content and the material audio content that is semantically coherent with the material key feature information, or the content that is associated with the material key feature information, is marked as valid material content.

[0074] Content in the material video content and material audio content that is semantically inconsistent with the material key feature information and has no relevance to the material key feature information is marked as invalid material content.

[0075] The invalid material content in each short video material in the creator's short video material library is deleted to obtain multiple pre-processed short video material libraries.

[0076] Reference Figure 1 In step S3, the pre-processed short video materials are spliced ​​and edited based on the creator's editing habits, and the semantics are verified to be clear and coherent to generate the creative editing video. Step S3 specifically includes the following sub-steps:

[0077] Obtain the creator's editing habit information and cache the creator's editing habit information. The creator's editing habit information includes the creator's transition effects and the addition of subtitle special effects during historical use.

[0078] Based on AIGC, multiple pre-processed short video materials are spliced ​​and edited according to the creator's editing habits to obtain the first-stage edited video.

[0079] Based on the importance of each pre-processed short video material in the first-stage editing video, the playback speed of the video content in each pre-processed short video material is preset to obtain multiple material playback speeds, and based on the multiple material playback speeds, each pre-processed short video material in the first-stage editing video is adjusted to obtain the second-stage editing video.

[0080] Verify the coherence of the splicing and editing between the pre-processed short video materials in the second-stage edited video. If it is not coherent, adjust the splicing order of the pre-processed short video materials until the pre-processed short video materials are semantically coherent after splicing to obtain the first type of editing adjustment information, and output a semantic coherence verification success signal.

[0081] Verify whether the semantics of the preliminary edited short video are clear. If clear, output a preliminary edited semantic clear signal. If unclear, mark it as semantically ambiguous content, obtain the creator's historical creative material library, which includes all historical short video materials of the creator in the historical creative process. Based on the historical creative material library and big data technology, find the analytical annotations for the semantically ambiguous content and create analytical additional content. Add the analytical additional content after the semantically ambiguous content to obtain the second type of editing adjustment information, and output a semantically clear verification success signal.

[0082] After receiving the semantic coherence verification success signal and the semantic clarity verification success signal, an editing verification success signal is output, and the second-stage editing video is adjusted based on the first type of editing adjustment information and the second type of editing adjustment information to obtain the original editing video.

[0083] Reference Figure 1 In step S4, the creator's main account is created on different platforms, and based on the creator's personal positioning and personal wishes, it is determined whether the creator should create a sub-account. If it is reasonable, the sub-account is created. The main account and the sub-account jointly build the creator's multi-platform account matrix. Step S4 specifically includes the following sub-steps:

[0084] Based on the creator's personal information, the creator's platform main account is created on different platforms. The account ID of all platform main accounts is consistent, which facilitates viewers' searches and improves the multi-platform positioning and drainage accuracy of the creator's account.

[0085] Based on the creator's personal positioning and personal wishes, it is determined whether to create a sub-account for the creator on each platform. If created, the account ID of the sub-account on each platform and the positioning direction of the sub-account will be set.

[0086] Let's take an example to illustrate: If the creator's personal positioning direction is beauty, appearance, fashion, and emotion, then the creator can open beauty sub-accounts, appearance sub-accounts, fashion sub-accounts, and emotion sub-accounts. A query dialog box will pop up on the user terminal, asking the creator about his or her willingness to create each sub-account. If the user agrees, the sub-account will be created. Among them, the account ID of the sub-account should be associated with the account ID of the creator's main account and a brief description of the sub-account positioning direction should be given, which further improves the search accuracy of viewing users for creators, and further improves the multi-platform positioning and drainage accuracy of the creator's account.

[0087] Build a multi-platform account matrix for creators based on the main account and sub-accounts of each platform.

[0088] In specific applications, the creator's main account is created on different platforms through the creator's personal information, and the account ID of all main accounts is consistent, which is convenient for viewers to search and improves the multi-platform positioning and drainage accuracy of the creator's account. Based on the creator's personal positioning and the creator's personal wishes, it is determined whether to create sub-accounts for the creator on different platforms. If created, the positioning direction of the sub-account is determined based on the creator's personal positioning direction. Among them, the account ID of the sub-account is associated with the account ID of the creator's main account and the positioning direction of the sub-account is briefly described, which further improves the viewing users' search accuracy for the creator, and further improves the multi-platform positioning and drainage accuracy of the creator's account, and improves the efficiency of batch creation and distribution management of short videos based on AIGC.

[0089] Reference Figure 1 In step S5, based on the audience profile of the created video and the platform operation mode, the main account distribution parameters of each platform are determined and published to each main account. The created and edited video is segmented and polished to obtain special clips for each sub-account, and the targeted audience of each sub-account is determined. Then, the sub-account distribution parameters of each sub-account on different platforms are determined and published to each sub-account. Step S5 specifically includes the following sub-steps:

[0090] The target audience of the created and edited videos is captured based on the audience portrait information of the created videos.

[0091] Based on big data technology, the platform active time periods of the target audience are obtained, and the video release time periods of the main account are determined based on the platform active time periods of the target audience.

[0092] Based on the operating mode of each platform, the publishing format of the creator's content is determined to obtain the platform publishing format requirements of each platform.

[0093] Let's take an example to illustrate: the platform publishing format requirement for platform A is 9:16 vertical format, and the platform publishing format requirement for platform B is 16:9 horizontal format.

[0094] The main account's video publishing period and the platform publishing format requirements of each platform form the main account distribution parameters of each platform.

[0095] Based on the video release period of each platform and the platform release format requirements of each platform, the created and edited videos will be released on the main account of each platform.

[0096] Step S5 also includes the following sub-steps:

[0097] Based on the sub-account positioning direction of each sub-account in different platforms, the creative editing video is divided into multiple sub-account corresponding pull films.

[0098] Based on the creator's personal positioning and the sub-account positioning direction of each sub-account, the corresponding pull-out film of each sub-account is polished to obtain a special cut pull-out film for each sub-account.

[0099] It should be pointed out that polishing the corresponding pull-out film of the sub-account in the embodiment of the present application refers to personalized modification of the soundtrack, subtitles, special effects or filters in the special cut pull-out film according to the personal positioning of the creator and the positioning direction of the sub-account, so that it is more suitable for the creator's personality and more suitable for the positioning direction of the sub-account, so as to facilitate the attraction of more user traffic that is highly matched with the creator, and achieve a high degree of matching between creators and viewing users during batch creation and distribution management of short videos.

[0100] Based on the sub-account positioning direction of each sub-account, the target audience groups of the creation and editing videos are screened by account partitioning to obtain the corresponding adapted audience groups of each sub-account and marked as the targeted audience groups of each sub-account.

[0101] Based on big data technology, the platform active time period of the targeted audience of each sub-account is obtained, and the video release time period of each sub-account is determined based on the platform active time period of the targeted audience.

[0102] The sub-account's video publishing period and the platform publishing format requirements of each platform are combined to form the sub-account distribution parameters of each sub-account on different platforms.

[0103] Based on the video release period of the sub-account and the platform release format requirements of each platform, the special cut-outs of each sub-account will be released on the corresponding sub-account.

[0104] The embodiment of the present application also discloses a short video batch creation and distribution management system based on AIGC.

[0105] Reference Figure 2 , a short video batch creation and distribution management system based on AIGC, including:

[0106] The creative video audience analysis module is configured to obtain the creator's short video material library, analyze the characteristics of the creative video audience based on the creator's short video material library, and obtain the creative video audience portrait information.

[0107] The material preprocessing module is configured to perform noise reduction processing and key feature extraction on the creator's short video material library to obtain key feature information of the material, and perform deletion processing based on the key feature information of the material to obtain multiple preprocessed short video materials.

[0108] The creative editing module is configured to splice and edit the pre-processed short video materials based on the creator's editing habit information, and verify whether the semantics are clear and coherent to generate a creative editing video.

[0109] The account matrix building module is configured to create the creator's main account on different platforms, and determine whether the creator creates a sub-account based on the creator's personal positioning and personal wishes. If it is reasonable, the sub-account will be created. The main account and sub-account jointly build the creator's multi-platform account matrix.

[0110] The cross-platform distribution management module is configured to determine the main account distribution parameters of each platform based on the audience portrait information of the created video and the platform operation mode and publish them to each main account, divide and polish the created and edited videos to obtain special cuts and pull-outs for each sub-account, judge the targeted audience group of each sub-account, and then determine the sub-account distribution parameters of each sub-account on different platforms and publish them with each sub-account.

[0111] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for batch creation and distribution management of short videos based on AIGC, characterized in that: The following steps are involved: Step S1: Obtain a short video material library of the creator, and analyze the characteristics of the audience of the creation video based on the creator's short video material library to obtain the audience portrait information of the creation video; Step S2: noise reduction and key feature extraction are performed on the creator's short video material library to obtain key feature information of the material, and deletion processing is performed based on the key feature information of the material to obtain multiple pre-processed short video materials; Step S3: splicing and editing the pre-processed short video materials based on the creator's editing habit information, and verifying whether the semantics are clear and coherent to generate a creative editing video; Step S4: Create a main account for the creator on different platforms, and determine whether the creator should create a sub-account based on the creator's personal positioning and personal wishes. If it is reasonable, create a sub-account. The main account and the sub-account jointly build the creator's multi-platform account matrix; Step S5: Based on the audience portrait information of the created video and the platform operation mode, the main account distribution parameters of each platform are determined and published to each main account. The created and edited video is segmented and polished to obtain special cuts and pull-outs for each sub-account, and the targeted audience group of each sub-account is determined. Then, the sub-account distribution parameters of each sub-account on different platforms are determined and published to each sub-account.

2. The AIGC-based short video batch creation and distribution management method according to claim 1 is characterized in that: Step S1 specifically includes: Obtaining a creator's short video material library, wherein the creator's short video material library includes one or more short video materials; Obtaining the core demands of creators, including attracting traffic, monetizing traffic, brand exposure, and attracting private domain traffic; Based on the content of each short video material in the creator's short video material library and the creator's core appeal information, a portrait analysis of the creator's target audience is conducted to obtain the audience portrait information of the creative video.

3. The AIGC-based short video batch creation and distribution management method according to claim 2 is characterized in that: Step S2 specifically includes: Based on the video denoiser, the particle noise in the video frames of each short video material is removed, and a visual noise reduction completion signal is output after completion; the background noise in the video frames of each short video material is removed, and a background sound noise reduction completion signal is output after completion; when the visual noise reduction completion signal and the background sound noise reduction completion signal are received, a material noise reduction completion signal is output; when the material noise reduction completion signal is received, each short video material in the creator's short video material library is updated in real time; Dividing each short video material into material video content and material audio content based on the content display type of each short video material; Extract key features from the source video content based on the creator's core appeal information to obtain key feature video frames, and retain the audio corresponding to the key feature video frames to obtain feature-corresponding audio frames; Extract key features from the audio content of the material based on the core appeal information of the creator to obtain key feature audio frames, and retain the video corresponding to the key feature audio frames to obtain feature corresponding video frames; The key feature video frame and the key feature audio frame are combined to form a first type of required key feature information, and the feature corresponding audio frame and the feature corresponding video frame are combined to form a second type of required key feature information, wherein the first type of required key feature information and the second type of required key feature information are combined to form material key feature information; Based on the key feature information of the material, the short video material content in the creator's short video material library is divided into valid material content and invalid material content; The invalid material content in each short video material in the creator's short video material library is deleted to obtain multiple pre-processed short video material libraries.

4. The AIGC-based short video batch creation and distribution management method according to claim 3 is characterized in that: Step S3 specifically includes: Obtaining the creator's editing habit information and caching the creator's editing habit information; Based on AIGC, the plurality of pre-processed short video materials are spliced ​​and edited according to the creator's editing habit information to obtain a first-stage edited video; Based on the importance of each pre-processed short video material in the first-stage edited video, the playback speed of the video content in each pre-processed short video material is preset to obtain multiple material playback speeds, and based on the multiple material playback speeds, each pre-processed short video material in the first-stage edited video is adjusted to obtain the second-stage edited video; Verify the coherence of the splicing of the pre-processed short video materials in the second-stage edited video. If not, adjust the splicing order of the pre-processed short video materials until the pre-processed short video materials are semantically coherent after splicing to obtain the first type of editing adjustment information, and output a semantic coherence verification success signal; Verify whether the semantics of the preliminary edited short video are clear. If so, output a preliminary edit semantic clarity signal. If not, mark it as semantically ambiguous content. Acquire the creator's historical creative material library. Based on the historical creative material library and big data technology, search for analytical annotations for the semantically ambiguous content and create analytical additional content. Add the analytical additional content to the semantically ambiguous content to obtain the second type of editing adjustment information, and output a semantic clarity verification success signal. After receiving the semantic coherence verification success signal and the semantic clarity verification success signal, an editing verification success signal is output, and the second-stage editing video is adjusted based on the first type of editing adjustment information and the second type of editing adjustment information to obtain the original editing video.

5. The AIGC-based short video batch creation and distribution management method according to claim 4 is characterized in that: Step S4 specifically includes: Based on the creator's personal information, the creator's platform master account is created on different platforms, where the account ID of all platform master accounts is the same; Based on the creator's personal positioning and personal wishes, determine whether to create a sub-account for the creator on each platform. If created, set the account ID of the sub-account on each platform and the positioning direction of the sub-account; A multi-platform account matrix of the creator is constructed based on the main accounts of each platform and the sub-accounts of each platform.

6. The AIGC-based short video batch creation and distribution management method according to claim 5 is characterized in that: Step S5 specifically includes: Capture the target audience of the video creation and editing based on the audience portrait information of the video creation; Obtaining the platform active time periods of the target audience based on big data technology, and determining the video publishing time periods of the main account based on the platform active time periods of the target audience; Determine the publishing format of creator content based on the operating mode of each platform to obtain the platform publishing format requirements of each platform; The video publishing period of the master account and the platform publishing format requirements of each platform are combined to form the master account distribution parameters of each platform; Based on the video release period of each platform and the platform release format requirements of each platform, the created and edited videos will be released on the main account of each platform.

7. The AIGC-based short video batch creation and distribution management method according to claim 6 is characterized in that: Step S5 further includes: Based on the sub-account positioning direction of each sub-account on different platforms, the creative editing video is divided into multiple sub-account corresponding pull films; Based on the creator's personal positioning and the sub-account positioning direction of each sub-account, the corresponding pull-up film of each sub-account is polished to obtain a special cut pull-up film for each sub-account; Based on the sub-account positioning direction of each sub-account, the target audience of the video creation and editing is screened by account partitioning to obtain the corresponding audience of each sub-account and mark it as the targeted audience of each sub-account; Obtaining the platform active time periods of the targeted audience groups of each sub-account based on big data technology, and determining the video release time periods of each sub-account based on the platform active time periods of the targeted audience groups; The video publishing period of the sub-account and the platform publishing format requirements of each platform are combined to form the sub-account distribution parameters of each sub-account on different platforms; Based on the video release period of the sub-account and the platform release format requirements of each platform, the special cut-out clips of each sub-account are released on the corresponding sub-account.

8. A short video batch creation and distribution management system based on AIGC, characterized by: The AIGC-based short video batch creation and distribution management system is used to implement the AIGC-based short video batch creation and distribution management method described in any one of claims 1 to 7, including: A creative video audience analysis module is configured to obtain a creator's short video material library, analyze the characteristics of the creative video audience based on the creator's short video material library, and obtain creative video audience portrait information; A material preprocessing module is configured to perform noise reduction processing and key feature extraction on the creator's short video material library to obtain key feature information of the material, and perform deletion processing based on the key feature information of the material to obtain multiple preprocessed short video materials; A creative editing module is configured to splice and edit the pre-processed short video materials based on the creator's editing habits, verify whether the semantics are clear and coherent, and generate a creative editing video; An account matrix building module is configured to create a creator's main account on different platforms and determine whether the creator should create a sub-account based on the creator's personal positioning and personal wishes. If it is reasonable, the sub-account will be created. The main account and the sub-account jointly build the creator's multi-platform account matrix; The cross-platform distribution management module is configured to determine the main account distribution parameters of each platform based on the audience portrait information of the created video and the platform operation mode and publish them to each main account, divide and polish the created and edited videos to obtain special cuts and pull-outs for each sub-account, judge the targeted audience group of each sub-account, and then determine the sub-account distribution parameters of each sub-account on different platforms and publish them with each sub-account.

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