Image Signal Encoding With Combined Intra-Inter Prediction
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Solution Overview
Problem
The increasing demand for high-definition video services has led to a significant increase in data volume, and existing video compression standards like HEVC are showing limitations in performance.
Innovation Solution
A combined prediction method that combines multiple prediction methods, including intra and inter prediction, with weighted sum operations and specific partitioning techniques for coding blocks, to enhance video signal encoding and decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If HEVC compression standard is used to improve video compression performance, then compression rate is improved (about twice as high as H.264/AVC), but performance limitations are revealed as display panels get bigger and video services require higher quality
Solution Approach 1:
The current block is divided into multiple prediction blocks (first prediction block and second prediction block) that can be processed independently with different prediction modes. This segmentation allows the application of both intra prediction and inter prediction to different portions of the same block, enabling finer-grained optimization of compression performance while maintaining scalability for higher quality requirements.
Solution Approach 2:
The patent combines multiple prediction methods (intra prediction and inter prediction) into a unified combined prediction mode. By merging these previously separate techniques, the system achieves superior compression performance that overcomes the limitations of HEVC while maintaining compatibility with existing decoding frameworks.
2Measurement precision
If combined prediction mode is applied to current block by combining intra and inter prediction, then prediction accuracy is improved, but computational complexity increases
Solution Approach 1:
The system applies combined prediction selectively rather than universally. By using prediction mode information from neighboring blocks to determine whether to apply combined prediction to the current block, the method achieves high prediction accuracy where needed while avoiding unnecessary computational complexity in blocks where simpler prediction modes suffice.
Solution Approach 2:
The patent uses feedback from neighboring blocks' prediction mode information to guide the prediction mode selection for the current block. This feedback mechanism enables adaptive decision-making that balances prediction accuracy with computational efficiency, as the system learns from the patterns observed in previously processed blocks.
3Productivity
If coding block is partitioned into multiple prediction units with weighted sum operations, then inter prediction efficiency is improved, but processing overhead increases
Solution Approach 1:
The patent applies different prediction strategies to different local regions (prediction blocks) within the current block based on their specific characteristics. By determining prediction modes locally for each prediction block using neighboring block information, the system optimizes inter prediction efficiency for each region while managing processing overhead through localized rather than global processing.
Data Source
AI summary
An image decoding method includes the steps of: determining whether a combined prediction mode is applied to a current block; when the combined prediction mode is applied to the current block, obtaining first and second prediction blocks with respect to the current block; and, on the basis of a calculation of a weighted sum of the first and second prediction blocks, obtaining a third prediction block with respect to the current block.