Video Bitstream Prediction Weighting for Accurate Template Partitioning
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Solution Overview
Problem
Existing video coding technologies suffer from inaccurate prediction modes due to inadequate template partitioning, leading to poor compression efficiency.
Innovation Solution
A method is introduced to determine a weight derivation mode for a current block, which allows for determining multiple prediction modes based on a template weight, enhancing the accuracy of prediction values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If template partitioning is used for prediction mode determination, then prediction accuracy is improved, but template partitioning is not fine enough leading to inaccurate prediction modes
Solution Approach 1:
The template is divided into multiple sub-templates through fine partitioning, allowing each sub-template to be matched independently against the current block. This segmentation enables more precise prediction mode determination by considering local characteristics of different template regions, thereby resolving the contradiction between prediction accuracy and partitioning fineness.
Solution Approach 2:
The patent introduces a weight derivation mode that operates in an additional dimension of prediction mode determination. Instead of only selecting from fixed partitioning schemes, the system derives weights for different template regions and combines multiple prediction modes weighted by these derived values, achieving finer-grained accuracy without increasing partitioning complexity.
2Productivity
If multiple prediction modes are determined through template matching, then compression efficiency is improved, but prediction modes determined are inaccurate due to coarse template partitioning
Solution Approach 1:
Different regions of the template are assigned different weights based on their local quality and relevance to the current block. By deriving weights for each template region and using them to combine prediction modes, the system achieves both high compression efficiency and accurate prediction modes, as each region contributes appropriately according to its local characteristics.
Solution Approach 2:
The patent changes the parameter of template partitioning from fixed coarse partitions to variable fine partitions based on weight derivation modes. This parameter change allows the system to adapt the partitioning granularity to the specific characteristics of each template-block pair, simultaneously achieving high compression efficiency and prediction accuracy.
3Measurement precision
If fine template partitioning is implemented, then prediction mode accuracy is improved, but the complexity of determining prediction modes increases
Solution Approach 1:
The weight derivation mode acts as an intermediary between template partitioning and prediction mode determination. Instead of directly implementing complex fine partitioning, the system uses weight derivation as a mediator that processes template information and produces refined prediction modes, reducing the direct complexity of partitioning while achieving high accuracy.
Data Source
AI summary
Methods for video encoding/decoding and bitstream transmission are provided. A weight of a template is determined according to a weight derivation mode. At least one number of K prediction modes for a current block is determined. A prediction value is determined according to the K prediction modes and the weight derivation mode. That is, in the disclosure, a template is simulately partitioned according to the weight.