Dynamic Motion Estimation Parameter Adjustment for Video Encoding
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Solution Overview
Problem
Existing processing systems face delays and inefficiencies in encoding video streams due to the time-consuming nature of motion estimation techniques, leading to unused bandwidth and potential losses in encoded streams.
Innovation Solution
The system dynamically adjusts motion estimation parameters to optimize the use of encoder bandwidth, either by increasing the time for motion estimation sessions when bandwidth is unused or decreasing it when delays occur, thereby ensuring efficient encoding without introducing delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If motion estimation techniques are performed to generate motion estimation data for encoding frames, then encoding quality is improved, but encoding time increases causing delays in encoded streams
Solution Approach 1:
The patent dynamically adjusts motion estimation parameters based on real-time encoder bandwidth utilization and delay conditions. The system monitors encoder state and modifies motion estimation settings (such as search range, block size, or estimation complexity) to adapt to changing conditions, thereby balancing encoding quality against encoding time and preventing stream delays
Solution Approach 2:
The system changes motion estimation parameters based on encoder bandwidth availability. When bandwidth is available, more computationally intensive motion estimation parameters are used to improve quality. When bandwidth is constrained or delays are detected, parameters are adjusted to reduce computation time, directly addressing the trade-off between quality and speed
2Manufacturing precision
If motion estimation parameters are increased to improve encoding quality, then manufacturing precision is improved, but productivity decreases due to increased encoding time
Solution Approach 1:
The system dynamically modulates motion estimation parameters based on real-time feedback about encoder bandwidth utilization and stream delay conditions. This allows the system to optimize encoding quality when bandwidth permits while maintaining high throughput when bandwidth is constrained, preventing the permanent trade-off between quality and productivity
3Productivity
If the encoder processes frames quickly to maintain stream timing, then productivity is maintained, but encoding quality may deteriorate due to reduced motion estimation time
Solution Approach 1:
The system adjusts motion estimation parameters based on encoder bandwidth availability and delay conditions. When bandwidth is available and no delays are present, parameters are configured to maximize quality. When bandwidth is constrained or delays are detected, parameters are modified to prioritize speed, thus adapting quality levels to current system conditions rather than maintaining a fixed trade-off
Data Source
AI summary
To leverage an amount of unused bandwidth at a hardware encoder to generate motion estimation data, a processing unit includes a hardware encoder configured to perform a first encoding job including encoder sessions to encode a captured frame, determine motion estimation data for a rendered frame, and encode the rendered frame. Further, the processing unit includes a pre-processing circuitry configured to determine a set of motion estimation parameters based on an encoder delay associated with the performance of the first encoding job by the hardware encoder. The hardware encoder is then configured to perform a second encoding job using the determined set of motion estimation parameters.