Volumetric Video Object Authenticity Validation
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Solution Overview
Problem
Volumetric video presentations are susceptible to object manipulation, making it difficult for viewers to identify authentic content, especially in three-dimensional spaces where objects can be placed behind others or obscured, and visual changes due to lighting are not easily aligned with two-dimensional assets.
Innovation Solution
A method that involves analyzing objects in volumetric video presentations using user-generated content to assign authenticity scores, comparing attributes such as position, color, time, appearance, audio, and lighting, and filtering out objects with scores below a threshold to reduce the propagation of manipulated content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If volumetric video presentations allow objects to be placed behind others or obscured in three-dimensional space, then the immersive viewing experience is enhanced, but the difficulty of detecting and measuring object authenticity increases
Solution Approach 1:
The patent transitions from two-dimensional video verification to three-dimensional volumetric video verification by capturing and analyzing objects from multiple camera angles simultaneously. The system validates objects in 3D space by comparing their appearance across different viewpoints and depths, enabling authenticity verification that accounts for the immersive 3D viewing experience while detecting manipulated objects that may be hidden or obscured in certain perspectives.
2Reliability
If visual changes due to lighting are not easily aligned with two-dimensional assets, then the realism of volumetric video is improved, but the difficulty of comparing objects to verify authenticity increases
Solution Approach 1:
The patent addresses lighting variability by transforming visual data into parameter-based representations that are invariant to lighting conditions. The system extracts geometric parameters, spatial relationships, and structural features from volumetric video that remain consistent regardless of lighting changes. This allows for accurate object comparison and authenticity verification while preserving the realistic visual appearance caused by natural lighting effects.
Data Source
AI summary
A method for validating objects appearing in volumetric video presentations includes obtaining a volumetric video presentation depicting a scene, wherein the volumetric video presentation is associated with a metadata file containing identifying information for the scene, identifying user-generated content that depicts the scene, by matching metadata associated with the user-generated content to the metadata file associated with the volumetric video presentation, comparing a first object appearing in the volumetric video presentation to a corresponding second object appearing in the user-generated content, assigning a score to the first object based on the comparing, wherein the score indicates a probability that the first object has not been manipulated, and altering the volumetric video presentation to filter the first object from the volumetric video presentation when the score falls below a threshold.