Intra Prediction Block Reconstruction Using DIMD Direction Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video signal processing methods lack efficiency in coding, particularly in handling spatial and temporal correlations of video signals.
Innovation Solution
A video signal processing method and device that utilizes Directional Intra Prediction Mode Decision (DIMD) to enhance coding efficiency by parsing syntax elements and reconstructing blocks based on the most frequent directional information of neighboring blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video compression techniques are used, then basic spatial and temporal correlation removal is achieved, but coding efficiency is insufficient for modern media requirements
Solution Approach 1:
The current block is divided into multiple sub-blocks for independent intra prediction processing. Each sub-block can have different prediction modes applied, allowing more precise local reconstruction and improving overall coding efficiency while maintaining signal fidelity.
Solution Approach 2:
The patent implements dynamic mode selection where the prediction mode (planar, DC, or angular) is selected based on the characteristics of each sub-block and neighboring blocks. This dynamic adaptation to local image characteristics improves reconstruction accuracy and coding efficiency compared to using a single static mode for the entire block.
2Measurement precision
If simple intra prediction modes are used, then processing complexity is reduced, but reconstruction accuracy of video blocks deteriorates
Solution Approach 1:
By segmenting the block into sub-blocks, the patent applies simple prediction modes to smaller regions where they are more effective, while using more complex angular prediction only where needed. This reduces overall processing complexity compared to applying complex modes to the entire block, while improving local reconstruction accuracy.
Solution Approach 2:
Different prediction modes are applied to different sub-blocks based on their local characteristics. Smooth regions use planar or DC modes for simplicity, while regions with edges or textures use angular modes for higher accuracy. This local quality adaptation improves reconstruction accuracy without uniformly increasing processing complexity across the entire block.
3Measurement precision
If multiple prediction modes are evaluated for each block, then reconstruction quality improves, but processing time and computational load increase
Solution Approach 1:
The patent limits full mode evaluation to smaller sub-blocks rather than the entire block. For each sub-block, multiple modes are evaluated to find the best match, but this computationally intensive process is applied to smaller regions, reducing total processing time while maintaining prediction accuracy in critical local areas.
Solution Approach 2:
The patent applies exhaustive mode evaluation only partially - specifically to sub-blocks that benefit most from it, rather than evaluating all modes for every block. This selective application of full mode evaluation achieves good prediction accuracy where needed while avoiding unnecessary computational overhead in regions where simpler modes suffice.
Data Source
AI summary
A video signal processing method comprises the steps of: parsing a first syntax element indicating whether to activate a DIMD mode, wherein the first syntax element is signaled on a sequence parameter set (SPS) raw byte sequence payload (RBSP) syntax; when the first syntax element indicates activation of the DIMD mode, parsing a second syntax element indicating whether the DIMD mode is applied to a current block; and when the second syntax element indicates that the DIMD mode is applied to the current block, reconstructing the current block on the basis of the DIMD mode.


