Inter-Plane Prediction for Lower Video Coding Side Information
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Solution Overview
Problem
Existing image and video coding standards are limited in their ability to subdivide pictures into blocks, leading to inefficient use of coding parameters and increased bit rates due to the need to transmit prediction parameters for small blocks that often share similar properties, especially for arbitrarily shaped objects.
Innovation Solution
A decoder and encoder system that subdivides information samples into simply connected regions, allowing for adaptive coding parameters within these regions, and optionally uses inter-plane prediction to reduce redundancy by signaling inter-plane interchange information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pictures are subdivided into small blocks for coding, then prediction precision can be improved, but the amount of side information and bit rate increases significantly
Solution Approach 1:
The patent merges multiple sample arrays (e.g., luminance and chrominance planes) into plane groups that can be coded together. By treating multiple arrays as a unified structure, the patent reduces redundant side information while maintaining prediction precision across different array types.
Solution Approach 2:
The patent creates plane groups that can represent multiple sample arrays with different properties (luminance, chrominance, auxiliary data) using a single coding structure. This universal approach allows different array types to share common prediction parameters, reducing the total amount of side information needed.
2Ease of manufacture
If arbitrary shaped objects are coded using fixed block structures, then coding simplicity is maintained, but coding efficiency deteriorates due to mismatched block boundaries
Solution Approach 1:
The patent segments the picture into plane groups that can be independently coded. This segmentation allows flexible handling of different object shapes by assigning appropriate prediction modes to different plane groups, improving coding efficiency without sacrificing overall structure simplicity.
Solution Approach 2:
The patent introduces dynamic selection of prediction modes and plane group configurations based on content characteristics. This allows the coding structure to adapt to arbitrary shaped objects by choosing optimal prediction strategies for each plane group, improving efficiency while maintaining reasonable coding simplicity.
3Measurement precision
If multiple prediction parameters are transmitted for each block, then prediction accuracy improves, but bit rate increases due to redundant parameter transmission
Solution Approach 1:
The patent merges prediction parameter transmission across multiple arrays by using plane groups. Prediction parameters derived for one array can be reused for other arrays in the same plane group, eliminating redundant parameter transmission while maintaining prediction accuracy across different array types.
Solution Approach 2:
The patent uses copying of prediction parameters from reference arrays within plane groups. Instead of transmitting identical parameters multiple times, the patent transmits them once and copies them to corresponding positions in other arrays, significantly reducing bit rate while preserving prediction accuracy.
Data Source
AI summary
A better rate distortion ratio is achieved by making interrelationships between coding parameters of different planes available for exploitation for the aim of redundancy reduction despite the additional overhead resulting from the need to signal the inter-plane prediction information to the decoder. In particular, the decision to use inter plane prediction or not may be performed for a plurality of planes individually. Additionally or alternatively, the decision may be done on a block basis considering one secondary plane.