Selective Metaverse Object Rendering for Privacy and Resource Control
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Solution Overview
Problem
The challenge of 3D object rendering in Metaverse environments is resource-intensive, especially when objects are moving or changing, and handling large user groups, necessitating server farms for rendering, which can be inefficient and resource-heavy.
Innovation Solution
A method and system for selective object rendering in Metaverse that identifies private or sensitive objects based on user actions, analyzes access rights, and renders these objects only for authorized users, using Metaverse servers or user devices, employing machine learning and artificial intelligence to optimize resource usage and privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all objects are rendered for all users in the Metaverse, then users can view complete scenes and objects, but rendering resources and server load increase significantly
Solution Approach 1:
The patent implements selective rendering where different users receive different rendering quality and object detail levels based on their access rights. Sensitive objects are rendered with high quality for authorized users while being excluded or rendered with low quality for unauthorized users, optimizing resource allocation according to local user needs rather than uniformly rendering all objects for all users
Solution Approach 2:
The patent segments the user base into authorized and unauthorized groups regarding sensitive objects. The rendering system processes and transmits object data separately for different user groups, rendering sensitive objects only for authorized users while providing placeholder or simplified versions for unauthorized users, thereby reducing overall rendering load
2Reliability
If sensitive objects are rendered for all users, then scene completeness is maintained, but user privacy and data security are compromised
Solution Approach 1:
The patent extracts sensitive objects from the general scene rendering pipeline and handles them separately based on user authorization. When a sensitive object is detected, the system removes it from the default rendering stream for unauthorized users while maintaining it for authorized users, thus preventing privacy exposure while preserving scene completeness for those who need it
Solution Approach 2:
The patent introduces an intermediary analysis step between scene generation and user delivery. The Metaverse server analyzes user actions and determines access rights before rendering sensitive objects, acting as a mediator that selectively filters and directs sensitive object data to appropriate users based on their authorization status
3Reliability
If server farms render all objects for large user groups, then rendering quality is maintained, but system complexity and resource requirements increase
Solution Approach 1:
The patent applies partial rendering action by rendering sensitive objects only for the subset of users who have access rights, rather than rendering them for all users. This partial action approach maintains rendering quality for authorized users while avoiding the excessive resource consumption that would result from rendering all objects for all users in large Metaverse environments
Data Source
AI summary
A method and system for selective object rendering in Metaverse can include performing, by a first, a second and/or any further user in a Metaverse an action, analyzing, by a Metaverse server, the performed action by the first, the second or any further user to identify a private or sensitive object, rendering, by the Metaverse server the private or sensitive object and sending, by the Metaverse server the rendered private or sensitive object to the first, the second and/or any further user only in the case that the first, the second and/or any further user has access rights to view the rendered private or sensitive object.