Video Intra Prediction Using PDPC to Cut Color Coding Complexity
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Solution Overview
Problem
The complexity of information processing in video coding affects the fluency of video services, particularly in video coding and decoding processes, which impacts the user's viewing experience.
Innovation Solution
The implementation of a Position-Dependent Prediction Combination (PDPC) application mode for predicting colour components in video data, which involves determining a difference between the colour component of a coding block and a prediction block without refining the prediction value, thereby reducing the complexity of intra prediction processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional video coding methods are used with full prediction refinement, then prediction accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent applies partial action by selectively refining prediction values only for specific prediction modes (planar, DC, horizontal, vertical) rather than all modes. This partial refinement approach maintains sufficient prediction accuracy for complex modes while reducing overall processing complexity by skipping refinement for simpler modes.
Solution Approach 2:
The patent implements local quality by applying different processing strategies to different prediction modes based on their characteristics. Complex prediction modes receive full refinement processing while simpler modes use direct residual calculation, optimizing the balance between accuracy and complexity for each local case.
2Manufacturing precision
If complex prediction processing is applied to all modes, then video quality is improved, but processing time increases
Solution Approach 1:
The patent reduces processing time by applying partial action - only performing prediction value refinement for specific prediction modes (planar, DC, horizontal, vertical) that benefit most from it, while using direct residual calculation for other modes. This selective approach maintains video quality where needed while reducing overall processing time.
Solution Approach 2:
The patent segments the prediction processing into two distinct paths: one for modes requiring refinement (planar, DC, horizontal, vertical) and another for modes using direct residual calculation. This segmentation allows the system to optimize processing time by routing different prediction modes through appropriate processing pipelines.
3Reliability
If prediction refinement is performed for all prediction modes, then coding performance is improved, but computational load increases
Solution Approach 1:
The patent applies partial action by performing prediction refinement only for specific prediction modes (planar, DC, horizontal, vertical) rather than all modes. This reduces computational load while maintaining coding performance for the modes where refinement provides the most benefit.
Solution Approach 2:
The patent changes the processing parameter (refinement application) based on the prediction mode type. By adjusting which modes receive refinement processing based on their characteristics, the system optimizes the balance between coding performance and computational load through parameter-based differentiation.
Data Source
AI summary
An information processing method and device, an apparatus, and a storage medium. The method includes: for inputted source video data, predicting a colour component of a coding block in the source video data according to a prediction mode to obtain a first prediction block, wherein the prediction mode is preset and is a Position-Dependent Prediction Combination (PDPC) application mode; determining a difference between the colour component of the coding block and a prediction value of the first prediction block to obtain a residual block; and signalling the residual block and the prediction mode in a bitstream.