History-Based Intra Mode Coding for Video Compression
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Solution Overview
Problem
Current video coding standards face challenges in achieving a balance between bandwidth requirements and video quality, particularly with higher resolution videos that require more bandwidth, often compromising quality for reduced bandwidth. Intra prediction methods in existing standards, such as HEVC and VVC, may not adequately utilize non-adjacent coding units for improved prediction accuracy.
Innovation Solution
The method involves deriving candidate intra prediction modes by recording and utilizing intra prediction modes from non-adjacent previous coding units, incorporating them into a set of candidate modes, and maintaining a historical table for improved prediction quality, which includes using a first-in-first-out table and adjusting mode frequencies to enhance entropy coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If higher resolution videos are used to improve video quality, then video quality is improved, but bandwidth requirements increase
Solution Approach 1:
The patent changes the parameter of prediction mode selection by incorporating historical intra prediction modes from non-adjacent coding units into the candidate mode set. This allows the system to achieve better prediction accuracy without increasing resolution, thereby maintaining video quality while reducing bandwidth requirements through more efficient compression.
2Measurement precision
If intra prediction methods utilize only adjacent coding units, then prediction accuracy is limited, but computational complexity remains low
Solution Approach 1:
The patent extends the prediction approach from only adjacent coding units to include non-adjacent coding units by maintaining a historical table of intra prediction modes. This dimensional expansion allows the system to access prediction modes from coding units that are not spatially adjacent, improving prediction accuracy while managing computational complexity through efficient history-based selection.
Data Source
AI summary
A method to derive candidate intra prediction modes, comprising: recording an intra prediction mode of at least one previous coding unit, wherein the previous coding unit is not adjacent to a to-be-processed coding unit; adding at least one recorded intra prediction mode into a set of candidate intra prediction modes, when the number of the candidate intra prediction modes is less than a preset threshold.