Mode-Dependent Subsampling Intra Prediction for Video Coding
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Solution Overview
Problem
Existing video compression techniques face challenges in maintaining prediction accuracy as the distance between prediction pixels and predicted pixels increases, particularly for larger block sizes, leading to reduced coding efficiency.
Innovation Solution
The implementation of Mode-Dependent Subsampling Intra Prediction (MDS-IP) systems, which subsample video blocks based on prediction modes, reduce the distance between prediction and predicted pixels by interpolating missing pixels using mode-dependent techniques, thereby enhancing prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If larger block sizes are used for video compression, then coding efficiency is improved, but prediction accuracy deteriorates as the distance between prediction pixels and predicted pixels increases
Solution Approach 1:
The video block is divided into multiple sub-blocks, and prediction is performed separately for each sub-block. This segmentation reduces the effective prediction distance within each sub-block, maintaining prediction accuracy while allowing larger overall block sizes for better coding efficiency.
Solution Approach 2:
Different prediction modes are applied to different sub-blocks based on local characteristics. The prediction mode is selected to optimize prediction accuracy for each local region, thereby maintaining overall prediction accuracy across the entire larger block.
2Device complexity
If traditional spatial prediction is used for large blocks, then processing complexity is reduced, but prediction accuracy deteriorates due to increased distance between prediction and predicted pixels
Solution Approach 1:
The large video block is segmented into smaller sub-blocks for independent prediction processing. This approach balances complexity and accuracy by performing simpler predictions on smaller sub-blocks while maintaining overall high prediction accuracy for the entire large block.
Solution Approach 2:
The prediction process dynamically selects from multiple prediction modes (e.g., planar, angular, copy) based on the characteristics of each sub-block. This dynamic adaptation allows the system to maintain high prediction accuracy without excessive complexity by choosing the most appropriate mode for each local region.
Data Source
AI summary
Systems, methods, and instrumentalities are disclosed relating to intra prediction of a video signal based on mode-dependent subsampling. A block of coefficients associated with a first sub block of a video block, one or more blocks of coefficients associated with one or more remaining sub blocks of the video block, and an indication of a prediction mode for the video block may be received. One or more interpolating techniques, a predicted first sub block, and the predicted sub blocks of the one or more remaining sub blocks may be determined. A reconstructed first sub block and one or more reconstructed remaining sub blocks may be generated. A reconstructed video block may be formed based on the prediction mode, the reconstructed first sub block, and the one or more reconstructed remaining sub blocks.