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
1Measurement precision
If high resolution and high quality image/video are transmitted, then image quality and detail are improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent extracts and removes redundant information through advanced compression techniques. By identifying and eliminating redundant data while preserving essential image quality, the system achieves high image quality with reduced transmission and storage requirements, directly resolving the contradiction between quality and cost
Solution Approach 2:
The patent changes encoding parameters and compression ratios to optimize the balance between image quality and data size. By dynamically adjusting these parameters, the system maintains high quality while reducing the amount of data that needs to be transmitted and stored, addressing the cost issue
2Loss of energy
If compression technique is improved, then transmission and storage costs are reduced, but prediction accuracy may deteriorate
Solution Approach 1:
The patent implements feedback mechanisms in the compression system that continuously monitor and adjust prediction accuracy. By using feedback from decoded data and comparing it with original data, the system optimizes prediction algorithms to maintain accuracy while achieving better compression ratios, resolving the contradiction between cost reduction and accuracy
Solution Approach 2:
The patent employs dynamic adaptation in prediction techniques, allowing the compression system to adjust its prediction models based on actual data characteristics. This dynamic approach ensures that prediction accuracy is maintained while compression efficiency is optimized, addressing both requirements simultaneously
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.