3D Media Synchronization via Audio Correlation Analysis
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Solution Overview
Problem
The complexity in generating 3D digital content, particularly hotspot content, due to the need for synchronizing multiple sources of digital media from different virtual positions within a 3D environment, which requires laborious manual editing to ensure synchronization during playback.
Innovation Solution
A computer-implemented method for processing 3D media data that involves receiving a master 3D digital asset and auxiliary digital assets, determining a correlation between their audio data, identifying time synchronization data, and storing it to ensure synchronized playback, using Fourier transforms to match audio signatures and calculate time offsets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual editing is used to synchronize multiple digital media sources, then synchronization accuracy can be achieved, but the complexity and time required for content generation increases significantly
Solution Approach 1:
The patent replaces the manual mechanical editing process with an automated audio-based synchronization system. The system automatically detects audio signatures from multiple digital media sources, determines their temporal relationships, and calculates time offsets without requiring manual intervention. This substitution of manual editing with automated audio analysis resolves the contradiction by maintaining synchronization accuracy while eliminating editing process complexity.
Solution Approach 2:
The system enables self-service synchronization by allowing digital media sources to automatically identify and synchronize themselves through their inherent audio content. Each source's audio signature is automatically detected and used to determine its temporal relationship with other sources, eliminating the need for external manual editing. This self-service approach resolves the contradiction by achieving accurate synchronization without increasing operational complexity.
2Reliability
If manual alignment of digital assets is performed, then playback synchronization is ensured, but the time and labor required for content preparation increases
Solution Approach 1:
The system performs preliminary audio signature detection and temporal relationship determination during the content generation phase, before actual playback occurs. By pre-calculating time offsets and storing synchronization metadata in advance, the system ensures reliable playback synchronization without requiring time-consuming manual alignment operations when content is needed. This preliminary action resolves the contradiction by ensuring synchronization reliability while reducing content preparation time through automation.
Solution Approach 2:
The patent replaces manual alignment operations with automated audio correlation analysis. The system automatically detects audio signatures, determines temporal relationships, and calculates precise time offsets without requiring manual content editor intervention. This substitution maintains reliable playback synchronization while dramatically reducing the time and labor required for content preparation.
3Adaptability or versatility
If multiple independent content generation devices are used to capture digital media from different locations, then coverage and versatility improve, but synchronization between devices becomes more difficult
Solution Approach 1:
The patent introduces audio signatures as an intermediary element that mediates synchronization between multiple independent content generation devices. Each device independently captures digital media with its audio content, and the system uses audio signature detection as a common reference point to determine temporal relationships between devices. This intermediary approach enables versatile multi-device content coverage while simplifying the synchronization process by providing a natural, automatic reference for alignment.
Solution Approach 2:
The system enables independent content generation devices to self-synchronize through their inherent audio content. Each device's audio signature is automatically detected and used to determine its temporal relationship with other devices without requiring external synchronization equipment or manual coordination. This self-service capability allows multiple devices to operate independently during capture while automatically synchronizing during processing, resolving the contradiction between versatility and synchronization complexity.
Data Source
AI summary
Media data, specifically 3D digital media data is processed by receiving a master 3D digital asset comprising master audio data. An auxiliary digital asset comprising auxiliary audio data is also received and processed. A correlation is determined between the master and auxiliary audio data. Time synchronisation data of the auxiliary digital asset is identified relative to the master 3D digital asset based on the determined correlation. The time synchronisation data is stored in memory.