MRL Intra Prediction Mode Selection for Better Video Compression
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality images and videos, particularly in virtual reality and augmented reality, necessitates a more efficient image/video compression technique to reduce transmission and storage costs while maintaining or improving prediction accuracy.
Innovation Solution
Implementing a Multi-Reference Line (MRL)-based intra prediction method that includes a Most Probable Mode (MPM) list, incorporating the DC mode, to enhance prediction accuracy and reduce computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional image/video compression techniques are used, then transmission and storage costs increase for high-resolution content, but compression efficiency remains insufficient
Solution Approach 1:
The patent modifies the intra prediction mode parameters by introducing MRL (Multi-Reference Line) based prediction modes and updating the MPM (Most Probable Mode) list construction to include DC mode. This changes the prediction parameters to better handle high-resolution content, achieving improved compression efficiency without proportionally increasing transmission and storage costs
2Quantity of substance
If existing compression techniques are applied to high-resolution content, then more bits are transmitted, but coding efficiency decreases
Solution Approach 1:
The patent implements feedback mechanisms in the MPM list construction by considering neighboring block prediction modes and reference line index information. The DC mode is conditionally added to the MPM list based on reference line index values, creating an adaptive feedback system that optimizes coding efficiency for high-resolution content while managing bit transmission requirements
3Measurement precision
If MRL-based intra prediction is implemented, then prediction accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies local quality optimization by conditionally adding DC mode to the MPM list only when reference line index information indicates specific conditions (ref_idx != 0). This localized application of DC mode based on reference line characteristics improves prediction accuracy for specific blocks without universally increasing computational complexity across all blocks
Data Source
AI summary
An image decoding method includes: configuring a MPM list including candidate intra prediction modes for a current block; deriving an intra prediction mode of the current block from the MPM list on the basis of MPM index information indicating an intra prediction mode, among the candidate intra prediction modes included in the MPM list, for the current block; generating prediction samples for the current block on the basis of the intra prediction mode; and generating a reconstructed picture for the current block on the basis of the prediction samples, wherein the step for configuring the MPM list comprises, on the basis of the case where the value of reference line index information, representing a reference line used for the intra prediction of the current block, is not zero, deriving a DC mode as one mode among the candidate intra prediction modes, and including same in the MPM list.