VVC Planar Intra Prediction with Adaptive Reference Samples
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Solution Overview
Problem
The existing video coding standards, such as HEVC, face challenges in achieving efficient compression of video data, particularly in capturing complex edge directions and textures, leading to suboptimal prediction modes and increased computational complexity.
Innovation Solution
The VVC standard introduces extended angular intra prediction modes, including Wide-Angle Intra Prediction (WAIP) and planar modes, along with advanced filtering and interpolation techniques, to enhance prediction accuracy and reduce complexity through methods like MPM lists, TIMD, and PDPC, while incorporating new transforms like LFNST and MTS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extended angular intra prediction modes (WAIP, planar modes) and advanced filtering techniques are introduced, then prediction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the prediction process into multiple independent components: angular prediction modes (WAIP, planar, DC), filtering operations (TMDF, PDPC), and transformation techniques (LFNST, MTS). Each component can be processed separately and combined, allowing the system to achieve high prediction accuracy through modular operations rather than a single complex algorithm.
Solution Approach 2:
The patent implements dynamic adaptation by allowing the encoder and decoder to select from multiple prediction modes (angular, planar, DC) based on the specific characteristics of each block. The system dynamically switches between different filtering techniques (TMDF, PDPC) and transformation methods (LFNST, MTS) to optimize performance for different video content types, thereby achieving high accuracy without requiring all operations to be performed simultaneously.
2Productivity
If multiple prediction modes and transforms are implemented, then compression efficiency is improved, but computational complexity increases
Solution Approach 1:
The patent applies partial action by implementing multiple prediction modes and transforms but allowing the system to use only the necessary ones for each specific block. Rather than always performing all available operations, the encoder selects and applies only the relevant modes (angular, planar, DC) and transforms (LFNST, MTS) needed for that particular block, reducing overall computational complexity while maintaining high compression efficiency when needed.
Solution Approach 2:
The patent utilizes parameter changes by varying the prediction mode indices, filter coefficients, and transformation parameters based on block characteristics. The system adjusts these parameters dynamically to optimize compression efficiency for different content types while controlling computational complexity through parameter adaptation rather than fixed complex operations.
3Manufacturing precision
If advanced filtering (TMDF, PDPC) and transforms (LFNST, MTS) are applied, then video quality is enhanced, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-defining multiple prediction modes, filter coefficients, and transformation parameters that can be quickly selected and applied. The encoder and decoder have pre-established lists of available modes and parameters, allowing them to rapidly switch between different operations without performing complex calculations from scratch, thereby enhancing video quality while minimizing processing time through prepared options.
Solution Approach 2:
The patent applies dynamics by enabling the system to adaptively select the most appropriate filtering and transformation operations based on block characteristics. Rather than always applying the most complex operations, the system dynamically chooses the optimal balance between quality enhancement and processing time for each specific block, using modes like TMDF and PDPC only when necessary to achieve significant quality improvements.
Data Source
AI summary
An input video or video stream may be obtained or received. The input video or video stream may include a plurality of video frames, and each frame may be divided into a plurality of blocks. A current block of the plurality of blocks may be predicted using a planar mode. Depending on which planar mode is used, different reference samples may be used for predicting a current sample in the current block.