AI live broadcast automatic slicing method

Abstract

The invention discloses an AI live broadcast automatic slicing method, and the method comprises the following steps: obtaining a video stream, obtaining a real-time video stream from a live broadcast platform or live broadcast equipment, guaranteeing the stability and definition of the video stream, and recording the live broadcast content; video content analysis: carrying out real-time or off-line analysis on a video stream by using AI algorithms such as deep learning and natural language processing, and recognizing information of key scenes and emotional fluctuations in a video and features such as human faces, actions and voices; generating a slice, automatically determining the position and length of the slice according to the analysis result of the AI algorithm, and editing the identified wonderful instant or specific content into an independent video slice; the invention aims to automatically and efficiently carry out live broadcast recording and AI automatic slicing, so that creators can conveniently and quickly carry out content production, the automation degree is high, and the live broadcast content can be quickly recorded and wonderful fragment cutting can be completed regardless of personal creators or enterprise operation.

Description

Technical Field

[0001] The present invention relates to an AI live broadcast automatic slicing method, and belongs to the technical field of live broadcast recording and artificial intelligence application. Background Art

[0002] The live broadcast business has experienced rapid development and change in recent years. In 2023, the number of online live broadcast users in China exceeded 800 million for the first time, and the scale increased to 816 million, an increase of 8.66% year-on-year. It is expected that the scale of the online live broadcast market will further expand, and live broadcast will be integrated with multiple industries and continue to deepen in vertical fields. As a fast-growing field in the online live broadcast industry, live broadcast e-commerce has played a key role in the expansion of the market scale. The live broadcast business is undergoing a diversified, technology-driven development stage. The market scale and user participation are continuing to grow. At the same time, the industry is also actively exploring the integration with new technologies to enhance user experience and meet diverse needs.

[0003] The current method of manually recording live broadcast slices has some shortcomings. It relies on local computers, is restricted by local networks, and requires the use of software for editing. It is impossible to quickly record the live content and complete the cutting of highlights. Summary of the invention

[0004] In this embodiment, an AI live broadcast automatic slicing method is provided to solve some shortcomings of the current manual recording and slicing methods in the prior art, which rely on local computers, are restricted by local networks, and require the use of software for editing, making it impossible to quickly record the live content and complete the cropping of highlight clips.

[0005] The present invention achieves the above-mentioned purpose through the following technical scheme, an AI live broadcast automatic slicing method, and the AI ​​live broadcast automatic slicing method comprises the following steps:

[0006] S1. Video stream acquisition: obtaining real-time video stream from the live broadcast platform or live broadcast device, ensuring the stability and clarity of the video stream, and recording the live broadcast content;

[0007] S2, video content analysis, using AI algorithms such as deep learning and natural language processing to analyze video streams in real time or offline, identifying key scenes, popular moments, emotional fluctuations, and features such as faces, movements, and voices in the video;

[0008] S3, slice generation, automatically determines the position and length of the slice based on the analysis results of the AI ​​algorithm, and edits the identified wonderful moments or specific content into independent video slices.

[0009] Preferably, the video stream in step (S1) obtains the live page address, which is automatically pulled after the live broadcast starts, and supports validity period setting and configuration status update.

[0010] Preferably, the live broadcast content in the step (S1) can be recorded in multiple live broadcasts without limit, and breakpoint continuation is supported internally.

[0011] Preferably, the AI ​​algorithm in step (S2) refers to a series of algorithms that use artificial intelligence technology to automatically identify, extract, edit and generate live video content.

[0012] Preferably, the AI ​​algorithm in step (S2) automatically slices the video and adds a title and a timestamp.

[0013] Preferably, the live broadcast recording in step (S1) includes live broadcast screen recording retrieval, deletion and jump to recording page of different platforms.

[0014] Preferably, the editing in the step (S3) is divided into automatic editing and manual editing, supporting ASR text display and rapid positioning to the live screen position, and the interval time of the automatic editing segment is 3 minutes, which can be automatically set.

[0015] Preferably, the video stream acquisition and processing in the step (S1) requires obtaining the live broadcast recorded video stream from the live broadcast platform or device, and preprocessing the video stream, such as denoising, enhancement, etc.

[0016] Preferably, in the step (S2), wonderful moments in the live broadcast are automatically captured according to preset rules or algorithms. Wonderful moments may be moments when the audience reacts enthusiastically, highlights of guests' performances, etc.

[0017] Preferably, in the step (S3), the edited slices are distributed to different platforms and terminals, and the slices are stored locally or in the cloud for subsequent use and management.

[0018] The beneficial effects of the present invention are as follows: the present invention aims to automatically and efficiently perform live broadcast recording and AI automatic slicing, so as to facilitate creators to quickly produce content;

[0019] High degree of automation: Whether you are an individual creator or a corporate operator, you can quickly record live content and complete the editing of highlights;

[0020] High slicing efficiency: Use advanced AI algorithms for intelligent comparison, accurate identification and segmentation of live broadcasts;

[0021] High fault tolerance: Both recording and AI are deployed on the server, supporting large-scale live recording and a stable environment;

[0022] Good usability: It provides a friendly user interaction interface and rich result display methods to facilitate user understanding and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0024] 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.

[0025] Embodiment 1:

[0026] AI live broadcast automatic slicing method, the AI ​​live broadcast automatic slicing method comprises the following steps:

[0027] S1. Video stream acquisition: obtaining real-time video stream from the live broadcast platform or live broadcast device, ensuring the stability and clarity of the video stream, and recording the live broadcast content;

[0028] S2, video content analysis, using AI algorithms such as deep learning and natural language processing to analyze video streams in real time or offline, identifying key scenes, popular moments, emotional fluctuations, and features such as faces, movements, and voices in the video;

[0029] S3, slice generation, automatically determines the position and length of the slice based on the analysis results of the AI ​​algorithm, and edits the identified wonderful moments or specific content into independent video slices.

[0030] Preferably, the video stream in step (S1) obtains the live page address, which is automatically pulled after the live broadcast starts, and supports validity period setting and configuration status update.

[0031] Preferably, the live broadcast content in the step (S1) can be recorded in multiple live broadcasts without limit, and breakpoint continuation is supported internally.

[0032] Preferably, the AI ​​algorithm in step (S2) refers to a series of algorithms that use artificial intelligence technology to automatically identify, extract, edit and generate live video content.

[0033] Preferably, the AI ​​algorithm in step (S2) automatically slices the video and adds a title and a timestamp.

[0034] Preferably, the live broadcast recording in step (S1) includes live broadcast screen recording retrieval, deletion and jump to recording page of different platforms.

[0035] Preferably, the editing in the step (S3) is divided into automatic editing and manual editing, supporting ASR text display and rapid positioning to the live screen position, and the interval time of the automatic editing segment is 3 minutes, which can be automatically set.

[0036] Preferably, the video stream acquisition and processing in the step (S1) requires obtaining the live broadcast recorded video stream from the live broadcast platform or device, and preprocessing the video stream, such as denoising, enhancement, etc.

[0037] Preferably, in the step (S2), wonderful moments in the live broadcast are automatically captured according to preset rules or algorithms. Wonderful moments may be moments when the audience reacts enthusiastically, highlights of guests' performances, etc.

[0038] Preferably, in the step (S3), the edited slices are distributed to different platforms and terminals, and the slices are stored locally or in the cloud for subsequent use and management.

[0039] The above-mentioned AI live broadcast automatic slicing method aims to automate and efficiently record live broadcasts. AI automatic slicing facilitates creators to quickly produce content; high degree of automation: whether it is individual creators or corporate operations, they can quickly record live broadcast content and complete the cropping of highlights; high slicing efficiency: advanced AI algorithms are used for intelligent comparison, accurate identification and segmentation of live broadcasts; high fault tolerance: both recording and AI are deployed on the server, supporting a large number of live broadcast recordings, and the environment is stable; good usability: provides a friendly user interaction interface and rich result display methods to facilitate user understanding and use.

[0040] Embodiment 2:

[0041] AI live broadcast automatic slicing method, the AI ​​live broadcast automatic slicing method comprises the following steps:

[0042] S1. Video stream acquisition: obtaining real-time video stream from the live broadcast platform or live broadcast device, ensuring the stability and clarity of the video stream, and recording the live broadcast content;

[0043] S2, video content analysis, using AI algorithms such as deep learning and natural language processing to analyze video streams in real time or offline, identifying key scenes, popular moments, emotional fluctuations, and features such as faces, movements, and voices in the video;

[0044] S3, slice generation, automatically determines the position and length of the slice based on the analysis results of the AI ​​algorithm, and edits the identified wonderful moments or specific content into independent video slices.

[0045] Preferably, the video stream in step (S1) obtains the live page address, which is automatically pulled after the live broadcast starts, and supports validity period setting and configuration status update.

[0046] Preferably, the live broadcast content in the step (S1) can be recorded in multiple live broadcasts without limit, and breakpoint continuation is supported internally.

[0047] Preferably, the AI ​​algorithm in step (S2) refers to a series of algorithms that use artificial intelligence technology to automatically identify, extract, edit and generate live video content.

[0048] Preferably, the AI ​​algorithm in step (S2) automatically slices the video and adds a title and a timestamp.

[0049] Preferably, the live broadcast recording in step (S1) includes live broadcast screen recording retrieval, deletion and jump to recording page of different platforms.

[0050] Preferably, the editing in the step (S3) is divided into automatic editing and manual editing, supporting ASR text display and rapid positioning to the live screen position, and the interval time of the automatic editing segment is 3 minutes, which can be automatically set.

[0051] Preferably, the video stream acquisition and processing in the step (S1) requires obtaining the live broadcast recorded video stream from the live broadcast platform or device, and preprocessing the video stream, such as denoising, enhancement, etc.

[0052] Preferably, in the step (S2), wonderful moments in the live broadcast are automatically captured according to preset rules or algorithms. Wonderful moments may be moments when the audience reacts enthusiastically, highlights of guests' performances, etc.

[0053] Preferably, in the step (S3), the edited slices are distributed to different platforms and terminals, and the slices are stored locally or in the cloud for subsequent use and management.

[0054] The above-mentioned AI live broadcast automatic slicing method aims to automate and efficiently record live broadcasts. AI automatic slicing facilitates creators to quickly produce content; high degree of automation: whether it is individual creators or corporate operations, they can quickly record live broadcast content and complete the cropping of highlights; high slicing efficiency: advanced AI algorithms are used for intelligent comparison, accurate identification and segmentation of live broadcasts; high fault tolerance: recording and AI are deployed on the server, supporting a large number of live broadcast recordings, and the environment is stable.

[0055] Embodiment three:

[0056] AI live broadcast automatic slicing method, the AI ​​live broadcast automatic slicing method comprises the following steps:

[0057] S1. Video stream acquisition: obtaining real-time video stream from the live broadcast platform or live broadcast device, ensuring the stability and clarity of the video stream, and recording the live broadcast content;

[0058] S2, video content analysis, using AI algorithms such as deep learning and natural language processing to analyze video streams in real time or offline, identifying key scenes, popular moments, emotional fluctuations, and features such as faces, movements, and voices in the video;

[0059] S3, slice generation, automatically determines the position and length of the slice based on the analysis results of the AI ​​algorithm, and edits the identified wonderful moments or specific content into independent video slices.

[0060] Preferably, the video stream in step (S1) obtains the live page address, which is automatically pulled after the live broadcast starts, and supports validity period setting and configuration status update.

[0061] Preferably, the live broadcast content in the step (S1) can be recorded in multiple live broadcasts without limit, and breakpoint continuation is supported internally.

[0062] Preferably, the AI ​​algorithm in step (S2) refers to a series of algorithms that use artificial intelligence technology to automatically identify, extract, edit and generate live video content.

[0063] Preferably, the AI ​​algorithm in step (S2) automatically slices the video and adds a title and a timestamp.

[0064] Preferably, the live broadcast recording in step (S1) includes live broadcast screen recording retrieval, deletion and jump to recording page of different platforms.

[0065] Preferably, the editing in the step (S3) is divided into automatic editing and manual editing, supporting ASR text display and rapid positioning to the live screen position, and the interval time of the automatic editing segment is 3 minutes, which can be automatically set.

[0066] Preferably, the video stream acquisition and processing in the step (S1) requires obtaining the live broadcast recorded video stream from the live broadcast platform or device, and preprocessing the video stream, such as denoising, enhancement, etc.

[0067] Preferably, in the step (S2), wonderful moments in the live broadcast are automatically captured according to preset rules or algorithms. Wonderful moments may be moments when the audience reacts enthusiastically, highlights of guests' performances, etc.

[0068] Preferably, in the step (S3), the edited slices are distributed to different platforms and terminals, and the slices are stored locally or in the cloud for subsequent use and management.

[0069] The above-mentioned AI live broadcast automatic slicing method aims to automate and efficiently record live broadcasts. AI automatic slicing facilitates creators to quickly produce content; high degree of automation: whether it is individual creators or corporate operations, they can quickly record live broadcast content and complete the cropping of highlights; high slicing efficiency: advanced AI algorithms are used for intelligent comparison, accurate identification and segmentation of live broadcasts; high fault tolerance: recording and AI are deployed on the server, supporting a large number of live broadcast recordings, and the environment is stable.

[0070] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0071] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. AI live broadcast automatic slicing method, characterized by: The AI ​​live broadcast automatic slicing method comprises the following steps: S1. Video stream acquisition: obtaining real-time video stream from the live broadcast platform or live broadcast device, ensuring the stability and clarity of the video stream, and recording the live broadcast content; S2, video content analysis, using AI algorithms such as deep learning and natural language processing to analyze video streams in real time or offline, identifying key scenes, popular moments, emotional fluctuations, and features such as faces, movements, and voices in the video; S3, slice generation, automatically determines the position and length of the slice based on the analysis results of the AI ​​algorithm, and edits the identified wonderful moments or specific content into independent video slices.

2. The AI ​​live broadcast automatic slicing method according to claim 1 is characterized in that: The video stream in the step (S1) obtains the live page address, which is automatically pulled after the live broadcast starts, and supports validity period setting and configuration status update.

3. The AI ​​live broadcast automatic slicing method according to claim 1 is characterized in that: The live broadcast content in the step (S1) can be recorded in multiple broadcasts without limit, and internally supports breakpoint continuation.

4. The AI ​​live broadcast automatic slicing method according to claim 1 is characterized in that: The AI ​​algorithm in step (S2) refers to a series of algorithms that use artificial intelligence technology to automatically identify, extract, edit and generate live video content.

5. The AI ​​live broadcast automatic slicing method according to claim 1 is characterized in that: The AI ​​algorithm in step (S2) automatically slices the video and adds a title and a timestamp.

6. The AI ​​live broadcast automatic slicing method according to claim 1, characterized in that: The live broadcast recording in the step (S1) includes searching, deleting and jumping to the live broadcast recording page of different platforms.

7. The AI ​​live broadcast automatic slicing method according to claim 1, characterized in that: The editing in the step (S3) is divided into automatic editing and manual editing, which supports ASR text display and quick positioning to the live screen position. The interval time of the automatic editing segment is 3 minutes, which can be automatically set.

8. The AI ​​live broadcast automatic slicing method according to claim 1, characterized in that: The video stream acquisition and processing in the step (S1) requires obtaining the live broadcast screen recording video stream from the live broadcast platform or device, and preprocessing the video stream, such as denoising, enhancement, etc.

9. The AI ​​live broadcast automatic slicing method according to claim 1, characterized in that: In the step (S2), the wonderful moments in the live broadcast are automatically captured according to preset rules or algorithms. The wonderful moments may be moments when the audience reacts enthusiastically, highlights of guests' performances, etc.

10. The AI ​​live broadcast automatic slicing method according to claim 1, characterized in that: In the step (S3), the edited slices are distributed to different platforms and terminals, and the slices are stored locally or in the cloud for subsequent use and management.

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