Audio-Visual Synchronization Offset Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The synchronization of captured audio and visual information is often mismatched due to the difference in travel speeds, leading to delays that can be confusing for users who do not comprehend the context of the capture, especially in scenarios where the distance between the object and the capturing device is significant, resulting in poor user experience.
Innovation Solution
An apparatus and method that determine a user awareness parameter indicating the level of comprehension of the context of captured audio and visual information, allowing for the selection of an appropriate synchronization type to adjust the timing of the audio with respect to the visual information, either by maintaining the delay or modifying it based on the user's understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Shape
If the capturing device is positioned far from the object to capture comprehensive visual information, then the visual representation quality is improved, but the audio synchronization with visual information deteriorates due to significant travel time differences
Solution Approach 1:
The system dynamically adjusts the synchronization offset based on the detected distance between the capturing device and the object. The offset value is not fixed but varies according to the actual capture conditions, allowing the system to maintain accurate audio-visual synchronization across different distances while preserving comprehensive visual coverage.
Solution Approach 2:
The system changes the synchronization parameter (offset value) based on the distance parameter. By detecting the distance and adjusting the offset accordingly, the system resolves the contradiction between maintaining far-distance capture capability and ensuring audio-visual synchronization accuracy.
2Reliability
If the synchronization offset is increased to compensate for audio travel time, then the audio synchronization accuracy is improved, but the user comprehension of the capture context deteriorates because the delay becomes more pronounced
Solution Approach 1:
The system uses feedback from distance detection to automatically adjust the synchronization offset. By continuously monitoring the distance between the capturing device and the object, the system can maintain optimal synchronization while keeping the delay within acceptable ranges for user comprehension.
Solution Approach 2:
The synchronization offset is made dynamic rather than static, adapting to the actual capture distance. This dynamic adjustment ensures that the offset is sufficient for synchronization accuracy but not excessive enough to confuse users about the capture context.
3Device complexity
If a fixed synchronization offset is used for all capture scenarios, then the system complexity is reduced, but the adaptability to different capture distances and contexts deteriorates
Solution Approach 1:
The system performs preliminary distance detection before finalizing the synchronization offset. This preliminary action allows the system to pre-calculate the appropriate offset value based on the capture scenario, reducing the need for complex real-time adjustments while maintaining adaptability.
Solution Approach 2:
The system changes the synchronization parameter based on the detected distance parameter. This parameter change approach provides adaptability to different capture contexts without requiring overly complex system architecture, as the adjustment is based on straightforward distance measurement.
Data Source
AI summary
An apparatus, method and computer program product for receiving captured visual information comprising a representation of an object, receiving captured audio information associated with the object, determining a user awareness parameter indicating a level of user comprehension of a context of capturing the visual information and the audio information and selecting, based on the user awareness parameter, a type of synchronization of the captured audio information with respect to the captured visual information.


