Motion Data Extraction for Virtual Content Style Variation
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Solution Overview
Problem
Conventional methods for generating virtual environments using 3D computer graphics require significant costs and efforts to recreate 3D modeling when changing graphic styles, making it difficult to provide varied virtual environments according to user preferences.
Innovation Solution
A method and system that convert video content into virtual environments by extracting and modifying motion data using machine learning models, allowing generation of virtual content with different graphic styles efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional 3D computer graphics method is used to generate virtual environments, then the graphic quality and realism can be achieved, but the cost and effort increase significantly when changing graphic styles due to required 3D modeling recreation
Solution Approach 1:
The patent uses video content as a copy or reference source to generate virtual environments. Instead of creating original 3D models from scratch for each graphic style, the system extracts motion data from video content and uses it to generate virtual content that replicates the visual appearance and motion characteristics of the source video, thereby reducing the need for repeated 3D modeling work
Solution Approach 2:
The system changes parameters such as graphic style, resolution, and motion extraction levels to adapt the virtual environment generation process to different requirements. By adjusting these parameters, the same underlying technology can produce varied virtual environments with different graphic styles without requiring complete recreation of 3D models
2Manufacturing precision
If detailed motion data extraction is performed to ensure accurate virtual content generation, then the fidelity of virtual content improves, but the processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by extracting only the necessary motion data required for virtual content generation rather than processing all possible motion parameters. The system determines appropriate extraction levels based on the specific virtual environment requirements, avoiding unnecessary processing of excessive motion data and thereby reducing processing time while maintaining sufficient fidelity
Data Source
AI summary
A method for generating virtual content is provided, which is performed by one or more processors, and includes receiving video content, extracting first motion data of a first object included in the video content, and converting the video content in accordance with a first virtual environment based on the extracted first motion data of the first object so as to generate virtual content in the first virtual environment.


