AI Video Model Templates for Scalable Personalized Variations
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Solution Overview
Problem
Traditional video creation methods are time-consuming, expensive, and lack scalability, failing to provide personalized and adaptive content efficiently for diverse audiences and platforms.
Innovation Solution
A system utilizing AI-driven video generation from building blocks, allowing customization based on user profiles, environmental conditions, and predefined rules, which includes a Video Model Builder and AI engine to dynamically adjust video elements such as color, position, and interactive components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual video creation methods are used, then video content can be produced with basic quality, but the process is time-consuming and expensive
Solution Approach 1:
The patent replaces manual mechanical video editing processes with an AI-based automated system. The AI model generates video content by processing text inputs and automatically assembling video elements, eliminating the need for manual frame-by-frame editing and significantly reducing production time while maintaining quality
Solution Approach 2:
The system enables self-service video generation where users can input text prompts and the AI automatically generates complete video content without requiring manual intervention in the creative process. The AI handles script generation, scene assembly, and video rendering autonomously
2Productivity
If traditional video creation methods are used, then basic video content can be produced, but scalability is limited
Solution Approach 1:
The patent segments video content into modular building blocks that can be independently generated, stored, and reassembled. This segmentation allows the system to produce multiple video variations by combining different pre-generated elements, greatly enhancing scalability without proportionally increasing production complexity
Solution Approach 2:
The system allows easy modification of video parameters such as text content, duration, and style through simple input changes. By changing textual prompts and configuration parameters, the AI generates different video variations without requiring complete re-production, enabling scalable content creation
3Adaptability or versatility
If static content is used, then video production is simple, but personalization and adaptability are limited
Solution Approach 1:
The patent transforms static video content into dynamic, adaptive content that can change based on user inputs and context. The AI model generates videos that adapt to different prompts, audiences, and purposes by dynamically selecting and modifying video elements, enabling personalization while managing complexity through automated processes
4Productivity
If manual editing processes are used, then video quality can be controlled, but the process is expensive and lacks efficiency
Solution Approach 1:
The patent replaces expensive manual editing labor with an AI-based automated generation system. The AI model processes text inputs and generates video content autonomously, eliminating the need for human editors, directors, and producers for routine video creation tasks, thereby reducing costs while maintaining quality control through algorithmic consistency
Data Source
AI summary
The present invention discloses a method for creating variation video; based on the model, the method comprising the steps of:Generating video model with IDM layer with hints to the AI type of field, with place holder of call to action; intention of the video creatorEmbed with video model invitation details in format logic of template for different variations to customization;The video model includes template general layout, the AI changes the content of the template based on hinting of the templates defined by the human of the template, such as hint what will be in the content type logo, location, wherein language of template, tags what type of content to place