Video Signal MPM Derivation Using Neighboring and Non-Neighboring Blocks
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Solution Overview
Problem
Existing video encoding/decoding technologies face challenges in efficiently performing intra prediction, particularly when encoding/decoding high-resolution video signals, leading to increased data transmission and storage costs.
Innovation Solution
The method and apparatus derive Most Probable Mode (MPM) candidates based on intra prediction modes of neighboring and non-neighboring blocks, using right and bottom reference samples to determine the intra prediction mode of a current block, with priorities determined by block shape and a default mode flag.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If higher resolution and quality image data is used, then image quality is improved, but data transmission and storage costs increase
Solution Approach 1:
The patent applies parameter changes by adapting intra prediction modes based on block shape parameters (square vs. non-square blocks) and using different reference sample configurations. This allows the system to optimize compression parameters dynamically to maintain image quality while reducing data量
Solution Approach 2:
The patent implements local quality by applying different intra prediction methods to different regions (blocks) based on their characteristics. Non-neighboring blocks use different reference sample configurations than neighboring blocks, allowing optimized compression for each local region while maintaining overall image quality
2Productivity
If conventional intra prediction is used, then encoding/decoding is simple, but prediction efficiency is insufficient for high-resolution video
Solution Approach 1:
The patent applies dynamics by making the intra prediction method adaptive rather than fixed. The system dynamically selects between different prediction approaches (using neighboring blocks, non-neighboring blocks, or both) based on block shape and other parameters, optimizing efficiency for each specific encoding situation
Solution Approach 2:
The patent implements segmentation by dividing the prediction process into distinct methods: neighboring block-based prediction and non-neighboring block-based prediction. Each method can be independently applied based on the specific block characteristics, allowing the system to segment the prediction task and select the most efficient approach for each segment
Data Source
AI summary
An image decoding method according to the present invention comprises the steps of: deriving most probable mode (MPM) candidates on the basis of an intra-prediction mode of candidate blocks; determining whether the MPM candidate having the intra-prediction mode, which is the same as that of a current block, exists among MPM candidates; and deriving the intra-prediction mode of the current block on the basis of the determination, wherein the candidate block includes a neighboring block which is adjacent to the current block, and a non-neighboring block which is not adjacent to the current block.