Method for personalized video content and investment allocation using ai and nft

Abstract

This invention proposes a system that goes beyond conventional face synthesis methods and provides immersive personalized video by utilizing a digital twin that reflects the physical characteristics of movie characters. This enables the creation of innovative user experiences in the fields of entertainment and marketing.

Description

Technology Field

[0001] The present invention relates to interactive content generation, artificial intelligence-based digital twin technology, personalized production algorithm, blockchain NFT technology, and a crowdfunding-type investment system. In particular, it relates to a system and method for generating a digital twin that reflects the physical elements of a character in a movie trailer scene based on a user's unique face and features, and naturally inserting the digital twin to issue the generated personalized content as an NFT and linking it to movie production investment. Background Technology

[0003] Traditional movie marketing was structured to have viewers consume content passively. While the recent advancement of AR / VR and AI-based digital twin technologies has enabled user-participatory content, simple 2D face synthesis methods lack immersion and personalization. Furthermore, systems for linking generated content to investment or reward structures are currently inadequate. The problem to be solved

[0005] The present invention has the following objectives:

[0007] - Generate a unique digital twin of the individual by capturing the user's face, expressions, and emotional characteristics from multiple angles via a kiosk;

[0008] - Utilizing the digital twin, not only is the user's avatar naturally inserted into movie scenes, but the user's digital twin is also optimized by reflecting the physical characteristics of the characters in the movie;

[0009] - Provides a more immersive personalized presentation by applying character style, costumes, lighting effects, etc., to the user's digital twin;

[0010] - The generated video can be shared on social media and issued as an NFT, becoming the user's property;

[0011] - Users pay a certain fee when minting NFTs, and this fee is converted into investment funds for the movie;

[0012] - If a movie is released in the future and generates revenue, the profits will be distributed to the NFT owner, and the NFT can be transferred or traded to a third party. means of solving the problem

[0014] The present invention provides the following means of solution to solve the above-mentioned problem:

[0016] - Kiosk interface;

[0017] - User detection, trailer playback, multi-angle shooting of face and full body;

[0018] - Digital Twin Generation Module;

[0019] - 3D face and body modeling, skin tone, facial expressions, emotion analysis;

[0020] - Character Optimization Module;

[0021] - Adjust the digital twin to reflect the appearance and style of the movie character;

[0022] - Digital Twin Production Module;

[0023] - Insertion and adjustment of the user's digital twin into the movie character;

[0024] - Feature-based direction module;

[0025] - Adjusting lighting, sound, and camera direction based on facial expression / emotion analysis;

[0026] - Video summary and editing module;

[0027] - Create a video approximately 30 seconds long;

[0028] - NFT Minting and Blockchain Integration Module;

[0029] - NFT creation, ownership in user wallet, linkage to investment funds;

[0030] - SNS sharing module;

[0031] - Automatic upload and link sending upon user selection. Effects of the invention

[0033] The present invention has the following effects:

[0035] - Going beyond simply replacing the face, it provides a personalized digital twin that reflects the appearance and style of the movie character, realizing a high level of immersion;

[0036] - Construction of a complete ecosystem connecting content creation → securing ownership (NFT) → investment → rewards;

[0037] - Providing a new investment and marketing platform for the film industry. Specific details for implementing the invention

[0039] An embodiment of the present invention can be described based on the drawings (not shown) as follows.

[0040] - Fig. 1: Overall System Configuration Diagram: Kiosk - Cloud AI - NFT Server - Blockchain - SNS Platform,

[0041] - Fig. 2: User Experience Flowchart: Watch Trailer → Film Face and Body → Select Scene → Create Video → NFT Minting,

[0042] - Fig. 3: Digital Twin Generation and Direction Processing Flow: Face and Body Images → 3D Modeling → Reflection of In-Movie Character Style → Direction Mapping,

[0043] - Fig. 4: Schematic of NFT structure and metadata: Includes NFT ID, image URL, investment amount, user feature summary, etc.

[0045] An embodiment of the present invention is described based on the above hypothetical drawing.

[0047] When User A stands in front of the kiosk, the kiosk detects the user and automatically plays a movie trailer. A digital twin is generated by 3D scanning A's face and body. At this time, skin tone, facial expressions, and emotion analysis can be performed, and characteristics such as a warm smile and bright eyes can be identified as features of A. Considering these characteristics, the character that best suits A among the characters in the movie can be selected. It is possible to adjust the digital twin to reflect the appearance and style of the selected character.

[0048] For example, if a 'scene where the protagonist is running' is selected from the movie scenes, A's digital twin is inserted into that scene. At this time, the character's hairstyle and clothing can be automatically adjusted to naturally harmonize with A's appearance. In one embodiment, for example, the lighting in the digital twin video may be composed of warm orange, the music of cheerful background music, and the camera of soft panning.

[0049] Subsequently, a highlight video approximately 30 seconds in length can be automatically generated. Subsequently, this personalized video can be minted as an NFT, allowing for blockchain integration. Through the generated NFT and the associated user wallet, (A) can register investment funds. These costs are recorded as investment funds for film production, and profits can be distributed to the NFT holders when movie revenue is generated in the future.

[0050] The generated video and related information can be shared on social media as described above. When selected by the user, it can be automatically uploaded and a link sent.

Claims

Claim 1 A video generation system characterized by playing a movie trailer when a user is positioned in front of a kiosk, then capturing images of the user's face and body from multiple viewpoints to generate a unique digital twin of the user, and based on this, inserting a digital twin that reflects the physical features of a character in a movie scene to generate a personalized video. Claim 2 A personalized directing system according to claim 1, wherein the user digital twin includes facial contours, eye gaze, expression patterns, skin tone, emotional state, etc., optimizes the digital twin by reflecting the style, costume, lighting effects, etc. of a character in a movie, and automatically adjusts lighting, sound, color correction, camera work, etc. within the video according to the corresponding features simultaneously with digital twin synthesis. Claim 3 A content sharing system according to claim 1 or 2, characterized in that the generated video is automatically edited to a length of approximately 30 seconds and a link that can be shared via SNS platforms or email is generated upon a user's request. Claim 4 An NFT-based investment system characterized in that, in any one of claims 1 to 3, the image can be minted as an NFT, a fee is received from a user during the minting process and the fee is recorded as an investment for movie production, and the profit is distributed to the NFT holder when movie revenue is generated in the future. Claim 5 A system according to claim 4, wherein the NFT includes unique metadata, and said metadata includes a video URL, minting time, user ID, investment amount, movie code, sentiment / direction profile summary, etc.