Audio-Video Synchronization Using Motion Correlation Vectors
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Solution Overview
Problem
Existing audio-video synchronization techniques require significant computational resources and can be sub-optimal due to inaccuracies in timestamp-based methods and the need for decoding streams, leading to misalignment of audio and video data.
Innovation Solution
The proposed technique involves extrapolating signals from delayed audio and video streams to determine synchronization without relying on timestamps, using properties like motion vectors and density vectors to correlate and adjust delays, allowing for synchronization in both compressed and decoded states, thereby reducing computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If timestamp-based methods are used for audio-video synchronization, then synchronization can be achieved, but inaccuracies in timestamps lead to misalignment of audio and video data
Solution Approach 1:
The patent introduces correlation vectors as an intermediary mechanism to bridge audio and video streams. These vectors capture temporal relationships between corresponding frames without relying on timestamps, enabling indirect synchronization that is more reliable against timestamp inaccuracies
Solution Approach 2:
The patent replaces the mechanical timestamp-based synchronization system with a signal-processing-based system using correlation vectors. This substitution eliminates the vulnerability to timestamp errors while maintaining synchronization capability through computational correlation analysis
2Measurement precision
If existing audio-video synchronization techniques are used, then synchronization can be achieved, but large amounts of computational resources are consumed
Solution Approach 1:
The patent applies partial action by computing correlation vectors only at key synchronization points rather than continuously processing entire streams. This selective computation maintains synchronization accuracy while significantly reducing overall computational resource consumption
Solution Approach 2:
The patent performs preliminary computation of correlation vectors during encoding or preprocessing stages, so that synchronization can be achieved during playback without requiring intensive real-time computational resources, thus reducing the energy burden during critical synchronization operations
3Measurement precision
If streams are decoded for synchronization, then accurate alignment can be achieved, but computational requirements increase and processing time is extended
Solution Approach 1:
The patent performs correlation vector computation during the encoding or preprocessing phase, before actual playback occurs. This preliminary action allows the synchronization data to be ready in advance, eliminating the need for time-consuming decoding operations during critical synchronization moments
Solution Approach 2:
The patent creates a simplified representation (correlation vector) of the temporal relationship between audio and video streams that can be processed independently of the actual stream decoding. This copying approach allows synchronization analysis without requiring full stream decoding, reducing processing time
Data Source
AI summary
Techniques of audio-video synchronization that can be performed on audio and video streams are described. In one scenario, a processor can receive audio-video information comprising a video stream and an audio stream. Each of the video and audio streams can include one or more of: a compressed stream; and a decoded stream. A region of motion in the video stream can be determined based on a property of the video stream. A video signal can be generated based on the determined region of motion. Also, a relative delay between the streams can be determined based, at least in part, on the generated video signal. A delay value associated with one or more of the audio and video streams may be adjusted to assist with synchronizing the audio and video streams.