CN111988635A - AI (Artificial intelligence) -based competition 3D animation live broadcast method and system - Google Patents
AI (Artificial intelligence) -based competition 3D animation live broadcast method and system Download PDFInfo
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- CN111988635A CN111988635A CN202010826061.9A CN202010826061A CN111988635A CN 111988635 A CN111988635 A CN 111988635A CN 202010826061 A CN202010826061 A CN 202010826061A CN 111988635 A CN111988635 A CN 111988635A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
- H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
- H04N21/4788—Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
- H04N21/8146—Monomedia components thereof involving graphical data, e.g. 3D object, 2D graphics
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Abstract
The invention relates to an AI (Artificial intelligence) -based competition 3D animation live broadcast method and system, wherein the AI-based competition 3D animation live broadcast method comprises the following steps: acquiring event data; judging the event data according to a first rule, and if the event data meets the first rule, performing live broadcast according to a first mode; otherwise, performing live broadcast according to a second mode; and determining a comment mode according to a preset trigger event so as to carry out comment when the comment is live. The acquired event data are analyzed and processed to be converted into data required by an AI intelligent event 3D animation live broadcast system, and the data are driven to animate a 3D virtual image, so that real-time live broadcast events in the forms of the 3D virtual image, a 3D event field and a 3D animation are presented, and the cost in live broadcast and rebroadcast of videos is reduced.
Description
Technical Field
The invention relates to the technical field of information, in particular to an AI (Artificial intelligence) -based competition 3D animation live broadcast method and system.
Background
The football is honored as world first sport, is the single sports of the most influential of global sports world, and football match is also one of the sports events that the world people love to watch simultaneously. Pay-per-view play has become the mainstream because during the soccer game most people choose to watch the game alone at home and the live costs of the sporting event are high. At present, the operation of the national game copyright is in a primary stage, not only is the operation income low and the commercial value is limited, but also the richness of the game is low, the diversified requirements of fans are difficult to meet, and in addition, the high live broadcast relay cost ensures that most enterprises are difficult to deal with. Therefore, live broadcast and sports data are indispensable choices for understanding sports events.
In current live, mostly be live video, pronunciation live, the live or the live of 2D figure of characters, wherein: video live broadcast is common, but very high live broadcast cost is required, no interaction exists, the watching angle is single, and the method belongs to passive ball watching; the voice and text live broadcast has a single form, and the content depends on subjective factors such as the value and the knowledge quantity of the anchor; the 2D graphics are live broadcast, and some graphics animations are added to the live broadcast of characters, so that live broadcast pictures have more visual feelings.
Disclosure of Invention
The invention provides an AI (Artificial intelligence) -based competition 3D animation live broadcast method and system, which can present a football game in a 3D virtual image form in time, have more vivid pictures, more free viewing angles and richer viewing mode selectivity, and reduce the cost in live broadcast and rebroadcast of videos.
In order to achieve the above object, in a first aspect, the present invention provides an AI intelligence based race 3D animation live broadcast method, including: acquiring event data; judging the event data according to a first rule, and if the event data meets the first rule, performing live broadcast according to a first mode; otherwise, performing live broadcast according to a second mode; and determining a comment mode according to a preset trigger event so as to carry out comment when the comment is live.
Further, determining the event data according to the first rule includes: presetting a data type; comparing the type of the event data with the data type, and if the type of the event data is consistent with the data type, the event data meets a first rule; or, presetting the data quantity; comparing the number of the event data with the number of the data, wherein if the number of the event data is not less than the number of the data, the event data meets a first rule;
or, presetting a data type and a data quantity; classifying the event data into a plurality of groups of data according to the data types; and comparing the number of the groups of the data with the number of the data, wherein if the number of the groups is not less than the number of the data, the event data meets a first rule.
Further, live broadcasting in the first manner includes: determining first direct broadcasting data according to the event data; controlling the 3D role model action according to the first live broadcast data so as to carry out live broadcast on the event;
the live broadcasting in the second mode comprises the following steps: presetting second live broadcast data; acquiring match dynamic data in real time; adjusting the second live broadcast data in real time according to the match dynamic data; and controlling the 3D model action according to the second live broadcast data so as to carry out live broadcast on the event.
Further, when the live broadcasting is performed according to the second mode, the method further comprises the following steps: capturing comment keywords from the match dynamic data to determine key events; and displaying the key events in a live form or popping up key information formed by the key events on a live page.
Further, prior to determining the narration mode, forming the narration mode includes: and calling the first live data or the second live data, and summarizing according to a preset comment template to form a comment mode.
Further, the comment mode includes a fixed comment mode and a professional comment mode, and determining the comment mode according to a preset trigger event includes: setting a trigger event; comparing the user behavior or user account information with the trigger event, and if the user behavior or user account information is matched with the trigger event, determining that the user behavior or user account information is in a professional comment mode; otherwise, the comment mode is fixed.
Further, still include: and carrying out live broadcast interaction in the live broadcast process.
In a second aspect, the present invention further provides an AI intelligence based event 3D animation live broadcasting system, including: the 3D animation live broadcast method based on AI intelligence comprises an operation end, a user end and a third-party platform, wherein: the third party platform stores the event data; the operation end acquires event data from a third-party platform to control live broadcast; the user side is used for displaying live broadcast performed by the operation side.
Further, the operation terminal comprises a storage module, a processing module, an explanation module and a control module, wherein: the storage module is used for storing model data; the processing module is used for acquiring and judging the event data to determine a live broadcast mode; the comment module is used for determining a comment mode according to a trigger event of the user side; and the control module is used for calling the model data from the storage module and controlling the live broadcast according to the determined live broadcast mode and the determined comment mode.
Further, the control module comprises a video live broadcast unit, a control unit and a display unit, wherein: the video unit is used for acquiring real-time event data; the control unit is used for calling model data and a determined explanation mode according to the acquired real-time event data and displaying the model data and the determined explanation mode on the display unit; the display unit transmits the display result to the user side for the user side to broadcast live.
The invention has the beneficial effects that:
according to the AI intelligence based competition 3D animation live broadcast method provided by the invention, the obtained competition data is analyzed and processed to be converted into data required by an AI intelligence based competition 3D animation live broadcast system, and the data is driven to animate a 3D avatar, so that real-time live broadcast competitions in the forms of the 3D avatar, a 3D competition field and the 3D animation are presented, and the competition situation is conveniently and accurately published vividly in time; through carrying out analysis processes to the event data to confirm whether there is sufficient data to support, drive the live broadcast of event of AI intelligence is automatic to be gone on, when the event data is enough to support the live broadcast of event automatic going on, the automatic live broadcast of control event, when the event data is not enough to support the live broadcast of event automatic going on, the live broadcast system built-in AI event match of AI intelligence intervenes, combines real event key information, accomplishes the live broadcast match of 3D animation.
Further, through virtual simulation sportsman, the simulation sportsman moves to accomplish the match, make the picture more lively, the viewing angle is more free, and the mode of watching of selection is more abundant, can also interact with the match field, looks at the special angle that the live video can't be watched the ball, for example: the immersion type ball-watching at the first visual angle of VR, the ball-watching at the visual angle of goalkeeper, etc. have high autonomous selectivity.
According to the AI-intelligence-based football game 3D animation live broadcast system, the game data are obtained from the third-party platform through the operation terminal and are analyzed and processed to determine the live broadcast mode, the comment mode is determined according to the trigger event of the user terminal to carry out live broadcast on the game, and therefore the game situation can be published timely, accurately and vividly; in addition, the 3D animation conversion of the event data is adopted, so that the cost in live broadcast and relay of the event video is reduced.
Furthermore, the 3D role motion under the AI intelligent technology is controlled by the control module to complete the live broadcasting of the football event, real actors do not need to perform in real time under the condition of synchronous video live broadcasting, brand-new ball viewing experience is brought to audiences, and the cost in live broadcasting and rebroadcasting of the event video is also reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an AI intelligence-based event 3D animation live broadcast method according to an embodiment of the present invention;
fig. 2 is a flowchart of an AI-intelligence-based event 3D animation live broadcasting system according to an embodiment of the present invention;
fig. 3 is a diagram illustrating an effect of the operation end according to an embodiment of the present invention;
fig. 4 is a diagram of a live effect of a user side according to an embodiment of the present invention.
Detailed Description
The AI intelligence-based event 3D animation live broadcast method and system of the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. The advantages and features of the present invention will become more apparent from the following description and drawings, it being understood, however, that the concepts of the present invention may be embodied in many different forms and should not be construed as limited to the specific embodiments set forth herein. The drawings are in simplified form and are not to scale, but are provided for convenience and clarity in describing embodiments of the invention.
The terms "first," "second," and the like in the description and in the claims, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in other sequences than described or illustrated herein. Similarly, if the method described herein comprises a series of steps, the order in which these steps are presented herein is not necessarily the only order in which these steps may be performed, and some of the described steps may be omitted and/or some other steps not described herein may be added to the method. Although elements in one drawing may be readily identified as such in other drawings, the present disclosure does not identify each element as being identical to each other in every drawing for clarity of description.
Referring to fig. 1, fig. 1 is a flowchart of an AI-intelligence-based event 3D animation live broadcast method according to an embodiment of the present invention, where the method includes:
s1, obtaining event data;
s2, judging the event data according to the first rule, if the event data meets the first rule, live broadcasting according to the first mode; otherwise, performing live broadcast according to a second mode;
and S3, determining a comment mode according to a preset trigger event so as to carry out comment when the comment is live.
In executing step S1, the event data includes at least one of the time of the game, the team playing, the player' S name and ball number, the team logo, the field name, the game information tips, the weather, the score, the red and yellow cards, the corner ball, the out-of-bounds ball, the ball position, the team history data, and the like.
When step S2 is executed, it is necessary to determine the event data according to the first rule and select the live broadcast method. Specifically, determining the event data according to the first rule may include: presetting a data type; and comparing the type of the event data with the data type, wherein if the type of the event data is consistent with the data type, the event data meets the first rule, otherwise, the type of the event data does not meet the first rule. It should be noted that the event data may include at least one piece of data, and the specific data refers to the event data, which is not described herein again, and the data type may include multiple types. In this embodiment, the sub-data types of the event data are compared with the data types one by one to determine whether the sub-data types are consistent. In other embodiments, determining the event data according to the first rule may further include: presetting the data quantity; and comparing the quantity of the event data with the quantity of the data, wherein if the quantity of the event data is not less than the quantity of the data, the event data meets the first rule, and otherwise, the quantity of the event data does not meet the first rule. In other embodiments, determining the event data according to the first rule may further include: presetting a data type and a data quantity; classifying the event data into a plurality of groups of data according to the data types; and comparing the number of the groups of the data with the number of the data, wherein if the number of the groups is not less than the number of the data, the event data meets the first rule, otherwise, the event data does not meet the first rule.
And when the event data meets a first rule, live broadcasting is carried out according to a first mode. Live broadcasting in a first manner includes: determining first direct broadcasting data according to the event data; and controlling the 3D model action according to the first live broadcast data so as to carry out live broadcast on the event. In this embodiment, the first live data includes at least one of a team formation, a player holding a ball, a player shooting, and a midfielder. Specifically, first live-air data is determined according to the event data, for example, the actual team formation, the player name and the corresponding ball number thereof, the ball taking player and the ball number thereof, the shooting player and the ball number thereof, and the player and the ball number thereof for changing people in the middle court are determined according to the event data; and calling a corresponding 3D character model according to the determined first live broadcast data and enabling the 3D character model to execute corresponding actions in the team lineup, so that the event is animated, and the event is automatically live broadcast.
And when the event data does not meet the first rule, live broadcasting is carried out according to a second mode. The live broadcasting in the second mode comprises the following steps: presetting second live broadcast data; acquiring match dynamic data in real time; adjusting the second live broadcast data in real time according to the match dynamic data; and controlling the 3D model according to the second live broadcast data to live broadcast the event. In this embodiment, the second live broadcast data includes at least one of a team formation, a player holding a ball, a player shooting, and a midfielder. It should be noted that, before controlling the 3D model to act, the corresponding 3D character model needs to be called according to the second live broadcast data, and is controlled to execute the corresponding action in the team formation, so that the event is animated, and then the event is live broadcast.
In addition, when the live broadcast is performed according to the second mode, the method further includes: capturing comment keywords from the match dynamic data to determine key events; and displaying the key events in a live form or popping up key information formed by the key events on a live page. In other embodiments, during the live broadcast in the first mode, commentary keywords may also be captured from the event data to determine key data, so that the key events are presented in a live broadcast form or key information formed by the key events is popped up on a live broadcast page.
In addition, during the live broadcasting of the events, the events also need to be explained. Therefore, when the step S2 is executed or before the step S2 is executed, the step S3 is also executed to determine the commentary mode according to the preset trigger event for the commentary on the live broadcast. In this embodiment, the comment mode includes a fixed comment mode and a professional comment mode, and determining the comment mode according to the preset trigger event includes: setting a trigger event; comparing the user behavior or user account information with the trigger event, and if the user behavior or user account information is matched with the trigger event, determining that the user behavior or user account information is in a professional comment mode; otherwise, the comment mode is fixed. It should be noted that the trigger event may be active selection of the user or the user account reaching a specified level or above.
Specifically, before determining the corresponding commentary mode, the live broadcast data and a preset commentary template need to be called according to the live broadcast mode to form the commentary mode, which specifically includes: and calling the first live data or the second live data, and summarizing according to a preset comment template to form a comment mode. It should be noted that the comment template includes a fixed comment template and a professional comment template, and if the first live data is called, a corresponding first fixed comment mode or a first professional comment mode is formed, and if the second live data is called, a corresponding second fixed comment mode and a second professional comment mode are formed.
The AI intelligence based competition 3D animation live broadcast method further comprises the following steps: and carrying out live broadcast interaction in the live broadcast process so as to be convenient for communication with other fans.
In summary, the AI-intelligence-based event 3D animation live broadcast method provided by the invention converts the acquired event data into data required by the AI-intelligence-based event 3D animation live broadcast system by analyzing and processing the event data, drives the 3D avatar to animate, and presents real-time live broadcast events in the forms of the 3D avatar and the 3D animation, so that the event conditions can be published timely, accurately and vividly, and in addition, the cost in live broadcast and rebroadcast of event videos is reduced; through carrying out analysis processes to the event data to confirm whether there is sufficient data to support the live automatic of event and go on, when the event data is enough to support the live automatic of event and go on, the automatic live of control event is broadcast, when the event data is not enough to support the live automatic of event and go on, the live system built-in AI event match of event of AI intelligence intervenes, combines real event key information, accomplishes the live match of 3D animation.
Further, through virtual simulation sportsman, the simulation sportsman moves to accomplish the match, make the picture more lively, the viewing angle is more free, and the mode of watching of selection is more abundant, can also interact with the match field, looks at the special angle that the live video can't be watched the ball, for example: the immersion type ball-watching at the first visual angle of VR, the ball-watching at the visual angle of goalkeeper, etc. have high autonomous selectivity.
Fig. 2 is a schematic diagram of an AI-intelligence-based event 3D animation live broadcasting system according to an embodiment of the present invention, please refer to fig. 2, the AI-intelligence-based event 3D animation live broadcasting system includes an operation end, a user end, and a third party platform, where:
the third party platform stores the event data;
the operation end acquires event data from a third-party platform to control live broadcast;
the user side is used for displaying live broadcast carried out by the operation side.
In this embodiment, the event data includes at least one of the time of the game, the team of the game, the name and number of players, the logo of the game, the name of the field, the game information cue, the weather, the score, the red and yellow cards, the corner ball, the out-of-range ball, the position of the ball, the historical data of the team, and the like.
The operation end comprises a storage module, a processing module, a control module, an explanation module and a display module, wherein: the storage module is used for storing model data; the processing module is used for acquiring and judging the event data to determine a live broadcast mode; the comment module is used for determining a comment mode according to a trigger event of the user side; and the control module is used for calling corresponding model data from the storage module and controlling the live broadcast according to the determined live broadcast mode and the determined comment mode.
In this embodiment, the processing module determines the acquired event data to determine whether the data is sufficient, and performs live broadcast according to a first method when the data is sufficient, or performs live broadcast according to a second method. The first mode live broadcast is automatically live broadcast according to the acquired event data, the second mode live broadcast is live broadcast by acquiring the event data in real time, and in the process of live broadcast according to the second mode, the process of dynamic adjustment is carried out in the live broadcast process.
It should be noted that the model data includes a character model, a court model and character actions, wherein the character model includes 22 player models, the court model is a 3D court, and includes a common football court model and 10 world famous court models, and the character actions include player actions, such as player normality, walking, running, stopping, passing with a ball, shoveling a ball, false action, shooting, serving a corner ball, receiving and changing feet, shooting, goalkeeper normality, chest ball receiving, goalkeeper left and right ball catching, left and right movement defending, goalkeeper one-hand ball throwing, sudden turning, pursuing and other actions.
Specifically, the control module automatically calls the 3D model of the model data and the role actions, automatically controls the positions of the players, the state conditions and the behavior tree conditions according to the pre-input competition rules, automatically controls different attack and defense forms of different formation types, and displays the attack and defense forms on the display unit. In this embodiment, when broadcasting directly according to the first mode, the control module control live broadcast is automatic to go on, when broadcasting directly according to the second mode, through manual control module with control live broadcast going on.
In order to facilitate manual control module in order to live, control module includes live unit of video, the control unit and show unit, wherein: the video unit is used for acquiring real-time event data; the control unit is used for calling model data and a determined explanation mode according to the acquired real-time event data and displaying the model data and the determined explanation mode on the display unit; the display unit transmits the display result to the user side for the user side to broadcast live.
In addition, in order to facilitate the timely interaction between the audiences and the commentator or the operator, the operation end and/or the user end further comprises an interaction module.
In summary, the AI-intelligence-based football game 3D animation live broadcast system provided by the invention acquires and analyzes the game data from the third-party platform through the operation terminal to determine the live broadcast mode, determines the comment mode according to the trigger event of the user terminal, and broadcasts the game live, thereby facilitating timely, accurate and vivid publishing of the game situation; in addition, the cost in live broadcast and relay of the event video is also reduced through the 3D animation conversion of the event data.
Furthermore, the 3D role motion under the AI intelligent technology is controlled by the control module to complete the live broadcasting of the football event, real actors do not need to perform in real time under the condition of synchronous video live broadcasting, brand-new ball viewing experience is brought to audiences, and the cost in live broadcasting and rebroadcasting of the event video is also reduced.
It should be noted that, in the present specification, all the embodiments are described in a related manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the structural embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the purpose of describing the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention, and any variations and modifications made by those skilled in the art based on the above disclosure are within the scope of the appended claims.
Claims (10)
1. An AI intelligence based event 3D animation live broadcast method is characterized by comprising the following steps:
acquiring event data;
judging the event data according to a first rule, and if the event data meets the first rule, performing live broadcast according to a first mode; otherwise, performing live broadcast according to a second mode;
and determining a comment mode according to a preset trigger event so as to carry out comment when the comment is live.
2. The AI intelligence-based event 3D animation live method of claim 1, wherein the determining the event data according to the first rule comprises:
presetting a data type;
comparing the type of the event data with the data type, and if the type of the event data is consistent with the data type, the event data meets the first rule; alternatively, the first and second electrodes may be,
presetting the data quantity;
comparing the number of the event data with the number of the data, wherein if the number of the event data is not less than the number of the data, the event data meets the first rule; alternatively, the first and second electrodes may be,
presetting the data type and the data quantity;
classifying the event data into a plurality of groups of data according to the data types;
comparing the number of the groups of the data with the number of the data, and if the number of the groups is not less than the number of the data, the event data meets a first rule.
3. The AI intelligence-based event 3D animation live-casting method of claim 1, wherein the live-casting in the first manner comprises:
determining first direct broadcasting data according to the event data;
controlling the 3D role model action according to the first live broadcast data so as to carry out live broadcast on the event;
the live broadcasting according to the second mode comprises the following steps:
presetting second live broadcast data;
acquiring match dynamic data in real time;
adjusting the second live broadcast data in real time according to the match dynamic data;
and controlling the 3D model action according to the second live broadcast data so as to carry out live broadcast on the event.
4. The AI intelligence-based event 3D animation live broadcasting method of claim 1, further comprising, while live broadcasting in the second manner:
capturing comment keywords from the match dynamic data to determine key events;
displaying the key events in a live mode or popping up key information formed by the key events on a live page.
5. The AI intelligence-based event 3D animation live method of claim 3, wherein forming a commentary mode prior to determining the commentary mode comprises: and calling the first live data or the second live data, and summarizing according to a preset comment template to form a comment mode.
6. The AI intelligence-based event 3D animation live method of claim 1, wherein the commentary mode comprises a fixed commentary mode and a professional commentary mode, and the determining the commentary mode according to a preset trigger event comprises:
setting a trigger event;
comparing the user behavior or user account information with the trigger event, and if the user behavior or user account information is matched with the trigger event, determining that the user behavior or user account information is in a professional comment mode; otherwise, the comment mode is fixed.
7. The AI intelligence-based event 3D animation live method of claim 1, further comprising: and carrying out live broadcast interaction in the live broadcast process.
8. An AI-intelligence-based competition 3D animation live broadcasting system applying the AI-intelligence-based 3D animation live broadcasting method according to any one of claims 1 to 7, comprising an operation end, a user end and a third-party platform, wherein:
the third party platform stores event data;
the operation end acquires the event data from the third-party platform to control live broadcast;
the user side is used for displaying live broadcast performed by the operation side.
9. The AI intelligence-based event 3D animation live system of claim 8, wherein the console end comprises a storage module, a processing module, an explanation module, and a control module, wherein:
the storage module is used for storing model data;
the processing module is used for acquiring the event data and judging to determine a live broadcast mode;
the comment module is used for determining a comment mode according to a trigger event of the user side;
and the control module is used for calling the model data from the storage module and controlling the live broadcast according to the determined live broadcast mode and the determined comment mode.
10. The AI intelligence-based event 3D animation live system of claim 9, wherein the control module comprises a video live unit, a control unit, and a presentation unit, wherein:
the video unit is used for acquiring real-time event data;
the control unit is used for calling the model data and the determined explanation mode according to the acquired real-time event data and displaying the model data and the determined explanation mode on the display unit;
and the display unit transmits the display result to the user side for live broadcast of the user side.
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