Geometric Prediction Mode Index Adjustment for Video Coding Efficiency
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Solution Overview
Problem
Current video coding technologies face challenges in achieving high compression ratios with minimal sacrifice in picture quality, especially when dealing with limited network resources and increasing demands for higher video quality.
Innovation Solution
The proposed solution involves a prediction method for image blocks, where a current block is divided into two prediction sub-blocks, with indices parsed from a bitstream to obtain prediction information. The method adjusts the second index if it is equal to or greater than the first index, and uses a candidate list for Merge Mode to derive prediction information, optimizing coding efficiency by avoiding redundant signaling and improving bit allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If independent indexing is used for both prediction sub-blocks, then prediction accuracy is improved, but bitstream overhead increases
Solution Approach 1:
The patent merges the indexing process for the second prediction sub-block with the first by using a single first index to indicate motion information for both sub-blocks when their motion characteristics are similar. This combining approach reduces the number of bits required in the bitstream while maintaining accurate prediction when motion is uniform across the block.
Solution Approach 2:
The patent introduces a second index that is conditionally applied based on motion characteristics. When motion differs between sub-blocks, the second index is used to provide differentiated motion information; when motion is uniform, the second index is omitted. This parameter change approach adapts the coding precision to the actual motion content, optimizing the balance between accuracy and bitstream efficiency.
2Measurement precision
If motion information is differentiated for each sub-block, then prediction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements a dynamic indexing mechanism where the use of a second index is determined by comparing motion characteristics between the first and second prediction sub-blocks. The system adapts its complexity based on the actual motion content: simple single-index mode when motion is uniform, and more complex differentiated indexing only when motion differences are detected. This dynamic approach avoids unnecessary processing complexity while maintaining accuracy when needed.
3Productivity
If redundant prediction information is eliminated, then compression ratio is improved, but prediction flexibility is reduced
Solution Approach 1:
The patent uses parameter changes to maintain flexibility while improving compression. A second index is introduced that can be conditionally applied based on motion characteristics. When motion differs between sub-blocks, the second index provides the necessary flexibility for differentiated prediction; when motion is uniform, the parameter change allows the system to use a more compact single-index representation, thereby improving compression ratio without sacrificing flexibility when needed.
Data Source
AI summary
A prediction method for an image block comprising a first prediction sub-block and a second prediction sub-block, the prediction method comprising: parsing a first index from a bitstream, wherein the first index is used to obtain prediction information of the first prediction sub-block; parsing a second index from the bitstream; comparing the first index with the second index; adjusting the second index in the event that the second index is equal to or greater than the first index; and obtaining prediction information of the second prediction sub-block according to the adjusted second index.