Signal Prediction Error Selection for Coding Efficiency
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Solution Overview
Problem
Conventional predictive coding methods fail to effectively predict signals with weak statistical correlation and are unable to correct or reduce errors caused by noise in the source or transmission channel, leading to large prediction errors and poor performance.
Innovation Solution
A method and system that provide an alternative to motion-compensated pixel prediction by selecting between motion-compensated and temporally filtered prediction errors, allowing for reduced data transmission and improved coding performance by using previously reconstructed frames for filtering or extrapolation/interpolation, without requiring transmission of motion vectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion-compensated prediction is used, then prediction accuracy is improved for signals with strong correlation, but the system becomes complex and requires transmission of motion vectors
Solution Approach 1:
The patent changes the prediction parameter from motion-compensated prediction (requiring motion vectors) to temporal filtering using previously reconstructed frames. This parameter change simplifies the system by eliminating motion vector transmission while maintaining prediction capability through temporal correlation exploitation.
Solution Approach 2:
The patent extracts and transmits only the prediction error signal rather than transmitting full motion vectors and prediction data. This extraction approach reduces transmission complexity while preserving the ability to reconstruct the original signal at the decoder.
2Ease of manufacture
If conventional predictive coding is used, then coding simplicity is maintained, but prediction errors are large for signals with weak statistical correlation or noise
Solution Approach 1:
The patent uses previously reconstructed frames as feedback for temporal filtering prediction. This feedback mechanism allows the predictor to adapt to the actual reconstructed signal characteristics, improving prediction accuracy for weakly correlated signals while maintaining coding simplicity through direct error transmission.
3Measurement precision
If motion-compensated prediction with full transmission is used, then prediction performance is improved, but data transmission volume increases
Solution Approach 1:
The patent extracts only the essential prediction error information for transmission, eliminating the need to transmit redundant motion vector data. This extraction strategy reduces transmission volume while preserving prediction performance through efficient error signal transmission.
Solution Approach 2:
The decoder uses the transmitted prediction error to self-reconstruct the signal by adding it to the locally generated prediction from previously reconstructed frames. This self-service approach eliminates the need for the encoder to transmit redundant prediction information, reducing data transmission volume.
Data Source
AI summary
A method (and system) for coding a signal includes comparing a first prediction which is based upon a previously reconstructed signal to an actual signal to determine a first prediction error, comparing a second prediction which is based upon temporal filtering to the actual signal to determine a second prediction error, and selecting one of the first prediction error and the second prediction error.