Cloud-Virtualized Real-World Content Integration in Games
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Solution Overview
Problem
Existing video games lack integration of real-world content, limiting player engagement and community interaction, and require significant development effort to create immersive environments.
Innovation Solution
A cloud system integrates real-world multimodal data, captured by users during events like car racing, into video games, using machine learning and computer vision to enhance gameplay and allow user-generated content sharing, reducing authorial effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If real-world multimodal data is integrated into video games, then gaming experience is enriched and player engagement is improved, but system complexity and data processing requirements increase
Solution Approach 1:
A cloud-based virtualization system acts as an intermediary between real-world data sources and game environments. The system receives multimodal data from various sources, virtualizes it through standardized processing pipelines, and integrates it into games. This mediator approach allows complex real-world data integration without increasing client-side system complexity, as the heavy lifting occurs in the cloud infrastructure.
Solution Approach 2:
The system creates virtualized copies of real-world multimodal data rather than directly integrating raw data. User-generated content like race track recordings are transformed into standardized virtual representations that can be seamlessly integrated into game environments. This copying approach simplifies integration by working with standardized data representations rather than raw, heterogeneous data sources.
2Quantity of substance
If user-generated content is encouraged and shared, then community interaction and content diversity improve, but data validation and integration effort increase
Solution Approach 1:
The system transforms user-generated content by changing its parameters into standardized formats. Multimodal data from various sources is converted into unified virtualized representations with consistent schemas, metadata structures, and integration interfaces. This parameter standardization enables automatic integration of diverse user content without requiring manual processing for each contribution.
Solution Approach 2:
The virtualization system provides self-service capabilities for content integration. Uploaded user-generated content is automatically processed, validated, and integrated into appropriate game environments without requiring manual intervention from developers. The system autonomously handles data normalization, format conversion, and seamless integration, reducing the effort required to incorporate user contributions.
3Reliability
If real-world scenarios are integrated into games, then player immersion and engagement improve, but development resources and processing power increase
Solution Approach 1:
The integration system segments real-world scenario data into modular, manageable components. Race track recordings, environmental data, and other real-world elements are divided into discrete virtualized assets that can be selectively loaded and integrated. This segmentation allows games to incorporate immersive real-world elements only when needed, reducing continuous processing power requirements while maintaining immersion quality.
Solution Approach 2:
The system transitions real-world data from physical dimensions to digital virtualization dimensions. Physical race tracks and environments are transformed into virtualized representations that exist in a different dimensional space, allowing them to be integrated into game worlds without requiring physical replication. This dimensional transformation enables immersive experiences while consuming minimal processing power compared to handling physical data directly.
Data Source
AI summary
A method for integration of real-world content into a game is described. The method includes receiving a request to play the game and accessing overlay multimodal data generated from a portion of real-world multimodal data received as user generated content (RGC). The overlay multimodal data relates to authored multimodal data generated for the game. The method includes replacing the authored multimodal data in one or more scenes of the game with the overlay multimodal data.


