Media art provision system
Patent Information
- Application Number
- KR1020250204724
- Authority / Receiving Office
- KR · KR
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2025-12-19
- Publication Date
- 2026-09-02
- Estimated Expiration
- 2045-12-19
Smart Images

Figure 112025144248363-PAT00001_ABST
Abstract
Description
Technology Field
[0001] The present invention relates to a media art provisioning system. It belongs to a technical field capable of providing media art by combining a sound source and a laser beam with projection content mapped to the surface curvature and shape of a projection target. Background Technology
[0002] In modern society, media art transcends mere visual appreciation and acts as a pivotal element across various fields, combining space and art to provide audiences with immersive experiences, aesthetically enhancing urban landscapes, and creating cultural value. Such media art relies heavily on projection mapping, which projects images onto building exteriors or sculptures, or on methods involving the simple looping of pre-produced video content.
[0003] Accordingly, existing simple playback methods have limitations in that they fail to precisely reflect the complex curves or shapes of the projected object, causing image distortion; furthermore, because the video device, lighting (laser), and sound device are operated individually, precise synchronization is not achieved, which reduces the sense of unity and communicative power of the production.
[0004] Meanwhile, mapping correction technology using 3D scanning and interactive sensing technology are being actively utilized recently. These include technologies that scan the shape of a projected object to align images or detect the movement of the audience.
[0005] However, conventional general mapping and sensing technologies have clear limitations when applied to complex media art environments. For example, they merely align images to surfaces and fail to compensate for reduced visibility caused by weather conditions such as fog or rain in real time (e.g., adjusting light intensity and volume). Furthermore, they are limited to unilateral reaction detection and lack interactive performance capabilities that specifically analyze the intensity of audience cheers or movements to instantly change video speed or laser patterns.
[0006] Accordingly, the present invention proposes a media art providing system capable of performing precise mapping correction based on the three-dimensional shape of a projection target, synchronizing video, sound, and lasers on a frame-by-frame basis, and actively adjusting production parameters by analyzing the external environment and audience reactions in real time. Prior art literature
[0007] (01) Korean Registered Patent No. 10-2295432 (Aug. 24, 2021) The problem to be solved
[0008] The present invention aims to solve the aforementioned problems, and the objective of the present invention is to provide a media art providing system capable of providing media art by combining a sound source and a laser beam with projection content mapped to the surface curvature and shape of a projection target.
[0009] In addition, the invention provides a media art provisioning system capable of adjusting production parameters for device-specific control signals in real time based on at least one of weather environment information, ambient illumination information, video footage of the audience, and audience voice.
[0010] The above and other objects and advantages of the present invention will become apparent from the following description describing preferred embodiments. means of solving the problem
[0011] A media art providing system connected to a projector device, a laser beam device, and a sound device according to an embodiment of the present invention for achieving the above-mentioned purpose, and controlling the output of each device, may include: a content management unit that maps output target content according to the surface curvature and shape of a projection target and corrects it into projection content; an information generation unit that generates source-specific time-series output information by mutually linking a sound source and a laser beam on a time-series output line of the projection content; a signal generation unit that generates device-specific control signals for controlling in frame units based on the source-specific time-series output information; and a media art output unit that outputs media art, which is a combination of the projection content, the sound source, and the laser beam, to the projection target through the projector device, the laser beam device, and the sound device based on the device-specific control signals.
[0012] In an embodiment, the content management unit includes a data collection unit that collects three-dimensional shape data by measuring the surface curvature and shape of the projection target through a 3D scanner, an error analysis unit that captures a test image pattern projected onto the projection target and applies the test image pattern to an AI-based vision algorithm to derive an output coordinate error, and a content conversion unit that converts the output target content into the projection content based on the three-dimensional shape data and the output coordinate error, and the AI-based vision algorithm may be an artificial neural network algorithm modeled by learning through machine learning that takes learning image patterns as input and outputs an output coordinate error for each image pattern.
[0013] In an embodiment, the surrounding information management unit further includes a weather environment information, ambient light information, audience footage, and audience voice using an environment sensing sensor, an illuminance sensing sensor, a camera, and a microphone positioned at a certain distance from the projection target, and the signal generation unit adjusts production parameters for the device-specific control signal in real time based on at least one of the weather environment information, the ambient light information, the audience footage, and the audience voice, and the production parameters may include a playback speed, color saturation, output light intensity, and color contrast for the projection content, a wavelength, flashing period, rotation speed, and whether to switch dynamic patterns for the laser beam, a frequency band, output volume, beat, rhythm change, and whether to enhance the beat for the sound source.
[0014] In an embodiment, the signal generation unit may include a clock analysis unit that derives a real-time clock level by applying the weather environment information and the ambient illuminance information to an AI-based clock analysis model, a production information detection unit that detects environment-adaptive production information from a pre-registered list of production information by clock level based on the real-time clock level, and a parameter adjustment unit that adjusts production parameters for the device-specific control signal based on the environment-adaptive production information.
[0015] In an embodiment, the signal generation unit further includes an audience response analysis unit that determines an audience response level by applying the audience-captured video and the audience voice to an AI-based audience response analysis model, and the production information detection unit detects response-linked production information from a pre-registered list of production information by audience response level based on the audience response level, and the parameter adjustment unit can adjust production parameters for the device-specific control signal based on the response-linked production information.
[0016] In an embodiment, when the environment-adaptive performance information and the response-linked performance information are detected to overlap for a certain period of time, the parameter adjustment unit can delete the response-linked performance information so that the environment-adaptive performance information operates first.
[0017] In an embodiment, the information generation unit may include a prompt generation unit that generates a production prompt indicating a visual production effect by applying a preset media scenario, the weather environment information, and the ambient illuminance information to a large-scale language model (LLM); an object generation unit that generates a visual object by applying the production prompt to an AI-based object generation model; a coordinate calculation unit that calculates object mapping coordinates for the visual object based on the three-dimensional shape data and the output coordinate error; and an information allocation unit that assigns output information for the visual object to a specific output section of the source-specific time-series output information based on the object mapping coordinates.
[0018] In an embodiment, the apparatus further comprises a terminal communication unit that selectively provides a media design template to each audience terminal in response to a personalization request signal received from a plurality of audience terminals via a media art participation service, and a personalization management unit that generates personalized content for each audience based on media design information received from each audience terminal via the media design template and shares it via the media art participation service. The information generation unit assigns at least one personalized content selected via the media art participation service according to audience preference from the personalized content for each audience to a specific event section of the time-series output information for each source, and the personalized content may include any one of a laser beam color, text for video synthesis, a specific sound source, and a background theme color selected by the audience. Effects of the invention
[0019] According to an embodiment of the present invention, by providing media art by combining a sound source and a laser beam with projection content mapped to the surface curvature and shape of a projection target, visibility can be improved more efficiently.
[0020] In addition, by adjusting the direction parameters for device-specific control signals in real time based on at least one of weather environment information, ambient illumination information, video footage of the audience, and audience voice, media art reflecting immersion and unity can be realized. Brief explanation of the drawing
[0021] FIG. 1 is a schematic diagram showing a media art providing system (1000) according to one embodiment of the present invention. FIGS. 2a and 2b are example diagrams of projection content, FIG. 2c is an example diagram showing a projection target onto which projection content is projected, and FIG. 2d is an example diagram for explaining media art. FIG. 3 is a block diagram showing an embodiment of the content management unit (100) of FIG. 1. FIG. 4 is a schematic diagram showing a media art providing system (1000_1) according to another embodiment of the present invention. FIG. 5 is a block diagram showing an embodiment of the signal generation unit (300) of FIG. 4. FIG. 6 is a block diagram showing another embodiment of the signal generation unit (300_1) of FIG. 4. FIG. 7 is a block diagram showing an example of the information generation unit (200) of FIG. 4. FIG. 8 is a schematic diagram showing a media art providing system (1000_2) according to another embodiment of the present invention. Specific details for implementing the invention
[0022] The present invention will be described in detail below with reference to the embodiments and drawings. These embodiments are presented merely as examples to explain the invention more specifically, and it will be obvious to those skilled in the art that the scope of the invention is not limited by these embodiments.
[0023] Furthermore, unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention pertains, and in the event of a conflict, the description in this specification, including the definitions, shall prevail.
[0024] To clearly explain the proposed invention in the drawings, parts unrelated to the description have been omitted, and similar parts throughout the specification have been given similar reference numerals. Furthermore, when a part is described as "comprising" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Additionally, the term "part" as described in the specification refers to a single unit or block that performs a specific function.
[0025] In each step, identification codes (1st, 2nd, etc.) are used for convenience of explanation and do not describe the order of the steps; the steps may be performed differently from the specified order unless a specific order is clearly indicated in the context. That is, the steps may be performed in the same order as specified, substantially simultaneously, or in the reverse order.
[0026] FIG. 1 is a schematic diagram showing a media art providing system (1000) according to one embodiment of the present invention, FIG. 2a and FIG. 2b are exemplary diagrams of projection content, FIG. 2c is an exemplary diagram showing a projection target onto which projection content is projected, and FIG. 2d is an exemplary diagram for explaining media art.
[0027] Referring to FIGS. 1 to 2d, the media art providing system (1000) is connected to a projector device (10), a laser beam device (20), and a sound device (30) to control the output of each device.
[0028] Here, the projector device (10) is a device that outputs visual content such as images, graphics, or videos, the laser beam device (20) is a device that outputs laser light having various colors, patterns, and movements, and the sound device (30) may be a device that outputs background music (BGM), sound effects (SFX), or narration, etc.
[0029] A media art providing system (1000) according to an embodiment may include a content management unit (100), an information generation unit (200), a signal generation unit (300), and a media art output unit (400).
[0030] First, the content management unit (100) can map the output target content according to the surface curvature and shape of the projection target and correct it into projection content.
[0031] Here, output target content refers to two-dimensional based content in a flat form, and projection content may refer to visual content such as three-dimensional based graphics, images, and videos that are crumpled or stretched according to the curvature and shape of the projection target, as shown in FIGS. 2a and 2b.
[0032] For example, the projected object may include buildings, sculptures, museums, exhibition halls, experience halls, theme parks, natural objects, outdoor stage spaces, etc., as shown in FIG. 2c.
[0033] Next, the information generation unit (200) can generate source-specific time-series output information by mutually linking a sound source and a laser beam to the time-series output line of the projection content.
[0034] Here, the time-series output information by source may be sequence information that defines when and how the projection content, sound source, and laser beam, which are sources constituting the media art, are output based on the reference time axis line.
[0035] Next, the signal generation unit (300) can generate a device-specific control signal for controlling in frame units based on source-specific time series output information.
[0036] Next, the media art output unit (400) can output media art, which is a combination of projection content, sound source, and laser beam, to a projection target through the video projector device (10), laser beam device (20), and sound device (30) based on a device-specific control signal.
[0037] For example, media art may refer to a performance art that combines projection content, sound sources, and laser beams, as illustrated in FIG. 2D.
[0038] According to one embodiment, while outputting media art, the media art output unit (400) can detect risk factor data within the laser beam output path using a lidar sensor (not shown) provided in the laser beam device (20). At this time, the media art output unit (400) can disable the output operation for the laser beam device (20) for a certain period of time based on a specific object type detected from the risk factor data.
[0039] According to another embodiment, the media art output unit (400) can capture a sample media art output image through a camera (53 in FIG. 4) provided as the sample media art is output to a target sheet through a projector device (10), a laser beam device (20), and a sound device (30).
[0040] At this time, the media art output unit (400) can analyze a sample media art output video to diagnose the output status of each device. At this time, the media art output unit (400) can automatically tune the output light intensity and output volume intensity, which are reference values of the control signal for each device, based on the output status of each device.
[0041] According to another embodiment, the media art output unit (400) can output augmented reality (AR)-based media art at a position spaced a certain distance from the projection target when the projection target corresponds to a specific shape.
[0042] According to another embodiment, the media art output unit (400) can recognize a shadow that occurs when the media art is output to a projection target by using a camera (53 in FIG. 4). At this time, the media art output unit (400) can output the media art in the corresponding output area through a shadow-compensating projector device (not shown) to compensate for the output area corresponding to the shadow.
[0043] According to another embodiment, the media art output unit (400) can adjust the number of output frames for the projector device (10) and the laser beam device (20) based on device-specific temperature information measured through a provided thermal imaging camera (not shown).
[0044] According to another embodiment, when the media art output unit (400) detects that the movement speed of a specific object in the projection content is 30 pixels / sec or more, it can output moving stereoscopic sound by varying the left and right speaker output balance of the sound device (30) in real time within a range of 10% to 30% in the direction of movement of the object.
[0045] According to another embodiment, the media art output unit (400) can change the focal length of the projector device (10) to a space of 1m in front of the projection target surface when the atmospheric humidity measured by the environment sensing sensor (51 in FIG. 4) is 70% or higher or the fine dust concentration is 80㎍ / m³ or higher.
[0046] Hereinafter, the structure of the present invention and the resulting effects are to be explained in more detail through specific embodiments and comparative examples. However, these embodiments are intended to explain the present invention more specifically, and the scope of the present invention is not limited to these embodiments.
[0047] FIG. 3 is a block diagram showing an embodiment of the content management unit (100) of FIG. 1.
[0048] Referring to FIGS. 1 and FIGS. 3, the content management unit (100) may include a data collection unit (110), an error analysis unit (120), and a content conversion unit (130).
[0049] First, the data collection unit (110) can collect three-dimensional shape data by measuring the surface curvature and shape of the projected object through a 3D scanner (not shown).
[0050] For example, 3D shape data may refer to spatial coordinate data in which the physical surface structure, depth information, and curvature shape of a projected object scanned by a LiDAR-based 3D scanner (not shown) are precisely implemented in digital space in the form of a point cloud or mesh.
[0051] Next, the error analysis unit (120) can capture a test image pattern projected onto a projection target and apply the test image pattern to an AI-based vision algorithm to derive an output coordinate error.
[0052] Here, the test image pattern is a reference image projected to identify the degree of image distortion according to the surface condition of the projection target, and may include a grid pattern, a checkerboard, and markers of a specific shape.
[0053] In this case, the output coordinate error may refer to the difference between the pre-set pattern-specific coordinates and the test image pattern coordinates when the test image pattern is projected onto a plane.
[0054] The AI-based vision algorithm according to the embodiment may be an artificial neural network algorithm modeled by learning through machine learning that takes learning image patterns as input and outputs output coordinate errors for each image pattern.
[0055] Next, the content conversion unit (130) can convert the output target content into projection content that is mapped to the projection target based on the 3D shape data and the output coordinate error.
[0056] FIG. 4 is a schematic diagram showing a media art providing system (1000_1) according to another embodiment of the present invention.
[0057] Referring to FIG. 4, the media art providing system (1000_1) may include a content management unit (100), an information generation unit (200), a signal generation unit (300), a media art output unit (400), and a surrounding information management unit (500).
[0058] Hereinafter, redundant descriptions of the content management unit (100), information generation unit (200), signal generation unit (300) and media art output unit (400) with the same member numbers as described in FIG. 1 are omitted.
[0059] First, the surrounding information management unit (500) can collect weather environment information, surrounding light intensity information, audience footage, and audience voice using an environment sensing sensor (51), an illuminance sensing sensor (52), a camera (53), and a microphone (54) positioned at a certain distance from the projection target.
[0060] The signal generation unit (300) according to the embodiment can adjust the production parameters for the device-specific control signal in real time based on at least one of weather environment information, ambient light information, video of the audience, and the audience voice.
[0061] Here, the production parameters may include playback speed, color saturation, output light intensity and color contrast for the projection content, wavelength for the laser beam, blinking period, rotation speed and whether to switch dynamic patterns, frequency band for the sound source, output volume, beat, rhythm change and whether to enhance beat.
[0062] FIG. 5 is a block diagram showing an embodiment of the signal generation unit (300) of FIG. 4.
[0063] Referring to FIGS. 1, 4 and 5, the signal generation unit (300) may include a clock analysis unit (310), a production information detection unit (320), and a parameter adjustment unit (330).
[0064] First, the clock analysis unit (310) can derive a real-time clock level by applying weather environment information and ambient light information to an AI-based clock analysis model.
[0065] Here, the real-time clock level may be a grade indexed based on atmospheric transmittance according to weather conditions and contrast ratio according to ambient illuminance.
[0066] The AI-based clock analysis model according to the embodiment may be an artificial neural network algorithm that is modeled by learning through machine learning that takes learning sample information as input and outputs a clock level for each sample information.
[0067] Next, the performance information detection unit (320) can detect environment-adaptive performance information from a list of performance information by registered clock level based on a real-time clock level.
[0068] Here, environment-adaptive performance information may include laser beam wavelength, projector gamma and brightness, and sound volume values.
[0069] Next, the parameter control unit (330) can provide media art with improved visibility in specific environments, such as foggy environments, environments with bright ambient light, and noisy environments, by adjusting the production parameters for device-specific control signals based on environment-adaptive production information.
[0070] FIG. 6 is a block diagram showing another embodiment of the signal generation unit (300_1) of FIG. 4.
[0071] Referring to FIGS. 1, 4 to 6, the signal generation unit (300_1) may include a clock analysis unit (310), a production information detection unit (320), a parameter adjustment unit (330), and an audience reaction analysis unit (340).
[0072] Hereinafter, redundant descriptions of the clock analysis unit (310), production information detection unit (320), and parameter adjustment unit (330) with the same member number as described in FIG. 5 are omitted.
[0073] First, the audience reaction analysis unit (340) can determine the audience reaction level by applying the audience video and audience voice to an AI-based audience reaction analysis model.
[0074] Here, the audience response level may be a grade indexed based on audience density, audience movement dynamics, audience voice intensity, and cheering frequency.
[0075] The AI-based audience response analysis model according to the embodiment may be an artificial neural network algorithm modeled by learning through machine learning that takes training sample video and audio as input and outputs the audience response level for said sample video and audio.
[0076] At this time, the production information detection unit (320) can detect reaction-linked production information from a list of production information by registered audience reaction level based on the audience reaction level.
[0077] Here, the responsive production information may include the projector playback acceleration scale, saturation enhancement value, laser beam rotation speed, and audio source bit information.
[0078] Then, the parameter adjustment unit (330) can adjust the performance parameters for the device-specific control signal based on the response-linked performance information.
[0079] According to one embodiment, when the parameter adjustment unit (330) adjusts the performance parameter for the device-specific control signal, it may allocate a fading period for a certain period of time to gradually change the performance parameter.
[0080] According to another embodiment, when environment-adaptive performance information and response-linked performance information are detected overlappingly for a certain period of time through the performance information detection unit (320), the parameter adjustment unit (330) can delete the response-linked performance information so that the environment-adaptive performance information containing safety-related performance parameters operates first.
[0081] According to another embodiment, the parameter control unit (330) can finely change the laser beam and projection content by applying a preset random number value to the production parameter for the device-specific control signal based on whether the audience reaction level exceeds a threshold.
[0082] FIG. 7 is a block diagram showing an example of the information generation unit (200) of FIG. 4.
[0083] Referring to FIGS. 4 and FIGS. 7, the information generation unit (200) may include a prompt generation unit (210), an object generation unit (220), a coordinate calculation unit (230), and an information allocation unit (240).
[0084] First, the prompt generation unit (210) can generate a production prompt that directs visual production effects by applying a pre-set media scenario, weather environment information, ambient light information and variable information to a large-scale language model (LLM).
[0085] Here, the variable information may refer to ambient noise decibels.
[0086] Next, the object creation unit (220) can create a visual object by applying a direction prompt to an AI-based object creation model.
[0087] Here, visual objects may include image textures, fluid simulations, and particle effects.
[0088] Next, the coordinate calculation unit (230) can calculate object mapping coordinates for a visual object based on three-dimensional shape data and output coordinate error.
[0089] Next, the information allocation unit (240) can assign output information for a visual object to a specific output section of source-specific time-series output information based on object mapping coordinates.
[0090] Here, output information for a visual object may include image texture data of the visual object, rendering properties of fluid and particle effects, object mapping coordinates, and a specific output range.
[0091] FIG. 8 is a schematic diagram showing a media art providing system (1000_2) according to another embodiment of the present invention.
[0092] Referring to FIGS. 1, 4 and 8, the media art providing system (1000_2) may include a content management unit (100), an information generation unit (200), a signal generation unit (300), a media art output unit (400), a surrounding information management unit (500), a terminal communication unit (600), and a personalization management unit (700).
[0093] Hereinafter, redundant descriptions of the content management unit (100), information generation unit (200), signal generation unit (300), media art output unit (400), and surrounding information management unit (500) with the same member numbers described in FIGS. 1 and FIG. 4 are omitted.
[0094] First, the terminal communication unit (600) can selectively provide a media design template to each audience terminal (70_1~70_N) in response to a personalized request signal received from a plurality of audience terminals (70_1~70_N) through a media art participation service.
[0095] Here, the media art participation service may be any one of an application, a webpage, and a program provided to each audience terminal (70_1~70_N) via a network from the media art provision system (1000_2).
[0096] Next, the personalization management unit (700) can generate personalized content for each audience based on media design information selected from each audience terminal (70_1~70_N) through a media design template and share it through a media art participation service.
[0097] Here, personalized content may include any one of the laser beam color selected by the audience, text for video synthesis, a specific sound source, and a background theme color.
[0098] The information generation unit (200) according to the embodiment can assign at least one personalized content selected through a media art participation service according to audience preference from personalized content for each audience to a specific event section of time-series output information by source.
[0099] In this specification, only a few examples among the various embodiments performed by the inventors are described; however, the technical concept of the present invention is not limited or restricted thereto, and it is obvious that it can be modified and implemented in various ways by those skilled in the art. Explanation of the symbols
[0100] 10: Projector device 20: Laser beam device 30: Sound device 100: Content Management Department 200: Information Generation Department 300: Signal generation unit 400: Media Art Output Section 1000, 1000_1, 100_2: Media art provision system
Claims
Claim 1 A media art providing system connected to a projector device, a laser beam device, and a sound device to control the output of each device comprises: a content management unit that maps the output target content according to the surface curvature and shape of the projection target and corrects it into projection content; an information generation unit that generates source-specific time-series output information by mutually linking a sound source and a laser beam to the time-series output line of the projection content; a signal generation unit that generates device-specific control signals for controlling in frame units based on the source-specific time-series output information; and a media art output unit that outputs media art combining the projection content, the sound source, and the laser beam to the projection target through the projector device, the laser beam device, and the sound device based on the device-specific control signals, wherein the content management unit comprises: a data collection unit that collects three-dimensional shape data by measuring the surface curvature and shape of the projection target through a 3D scanner; and an error analysis unit that captures a test image pattern projected onto the projection target and derives an output coordinate error by applying the test image pattern to an AI-based vision algorithm. A media art providing system comprising a content conversion unit that converts the output target content into the projection content based on the three-dimensional shape data and the output coordinate error, wherein the AI-based vision algorithm is an artificial neural network algorithm modeled by learning through machine learning that takes learning image patterns as input and outputs output coordinate errors for each image pattern. Claim 2 delete Claim 3 A media art providing system according to claim 1, further comprising an ambient information management unit that collects weather environment information, ambient illuminance information, audience footage, and audience voice using an environment sensing sensor, an illuminance sensing sensor, a camera, and a microphone spaced apart from the projection target at a certain distance, wherein the signal generation unit adjusts production parameters for the device-specific control signal in real time based on at least one of the weather environment information, the ambient illuminance information, the audience footage, and the audience voice, and wherein the production parameters include a playback speed, color saturation, output light intensity, and color contrast for the projection content, a wavelength, flashing period, rotation speed, and whether to switch dynamic patterns for the laser beam, a frequency band, output volume, beat, rhythm change, and whether to enhance the beat for the sound source. Claim 4 In paragraph 3, the signal generation unit comprises: a clock analysis unit that derives a real-time clock level by applying the weather environment information and the ambient illuminance information to an AI-based clock analysis model; a performance information detection unit that detects environment-adaptive performance information from a pre-registered list of performance information by clock level based on the real-time clock level; and a parameter adjustment unit that adjusts performance parameters for the device-specific control signal based on the environment-adaptive performance information. Claim 5 A media art providing system according to claim 4, wherein the signal generation unit further includes an audience response analysis unit that determines an audience response level by applying the audience-captured video and the audience voice to an AI-based audience response analysis model, the production information detection unit detects response-linked production information from a pre-registered list of production information by audience response level based on the audience response level, and the parameter adjustment unit adjusts production parameters for the device-specific control signal based on the response-linked production information. Claim 6 A media art providing system according to claim 5, wherein the parameter adjustment unit deletes the response-linked production information so that the environment-adaptive production information operates first when the environment-adaptive production information and the response-linked production information are detected overlappingly for a certain period of time. Claim 7 In paragraph 3, the information generation unit comprises: a prompt generation unit that generates a production prompt indicating a visual production effect by applying a preset media scenario, the weather environment information, and the ambient illuminance information to a large-scale language model (LLM); an object generation unit that generates a visual object by applying the production prompt to an AI-based object generation model; a coordinate calculation unit that calculates object mapping coordinates for the visual object based on the three-dimensional shape data and the output coordinate error; and an information allocation unit that assigns output information for the visual object to a specific output section of the source-specific time-series output information based on the object mapping coordinates, thereby providing a media art system. Claim 8 A media art providing system according to claim 1, further comprising: a terminal communication unit that selectively provides a media design template to each audience terminal in response to a personalization request signal received from a plurality of audience terminals through a media art participation service; and a personalization management unit that generates audience-specific personalized content based on media design information received from each audience terminal through the media design template and shares it through the media art participation service, wherein the information generation unit assigns at least one personalized content selected through the media art participation service according to audience preference from the audience-specific personalized content to a specific event section of the source-specific time-series output information, and the personalized content includes any one of a laser beam color, text for video synthesis, a specific sound source, and a background theme color selected by the audience.
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