Video Block Prediction Using Partitioned Templates and Multiple Weight Modes

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Solution Overview

Problem

Existing video coding technologies suffer from inaccurate candidate prediction mode lists, which reduce the accuracy of block prediction in video data compression.

Innovation Solution

Determine N candidate weight derivation modes and a candidate prediction mode list based on partitioning a template of a current block, and use a first weight derivation mode and K first prediction modes to predict the current block, where K>1, to enhance prediction accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple prediction modes are selected from an existing candidate prediction mode list to predict a current block, then prediction coverage is improved, but prediction accuracy deteriorates because the candidate prediction mode list is not accurate enough

Engineering Contradiction:

Improveprediction coverageVSAvoidprediction accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The template of the current block is partitioned into multiple sub-templates, and different weight derivation modes are applied to different sub-templates. This segmentation allows for more precise local prediction while maintaining overall prediction coverage.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different weight derivation modes are selectively applied to different regions of the current block based on the partitioned sub-templates. This enables each region to use the most appropriate prediction mode for its local characteristics, improving overall prediction accuracy.

Inventive Principle:

Principle #3Local quality

2Device complexity

If a single weight derivation mode is used for the entire current block, then computational complexity is reduced, but prediction accuracy deteriorates due to inability to capture local variations

Engineering Contradiction:

Improvecomputational complexityVSAvoidprediction accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The current block is divided into multiple sub-templates through partitioning, allowing different weight derivation modes to be applied to different sub-regions. This maintains manageable computational complexity while improving prediction accuracy through local adaptation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Instead of applying complex weight derivation to the entire block, the method applies different weight derivation modes only to specific partitioned sub-templates where they are most beneficial, optimizing the balance between complexity and accuracy.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250240411A1Video encoding method and video decoding method

Publication Date: 2025.07.24 GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD

AI summary

A video decoding method includes: determining N candidate weight derivation modes, where N is a positive integer; determining a candidate prediction mode list, where the candidate prediction mode list includes at least one candidate prediction mode, and the at least one candidate prediction mode includes a prediction mode determined based on partitioning a template of a current block; determining a first weight derivation mode and K first prediction modes based on the N candidate weight derivation modes and the candidate prediction mode list, where K is a positive integer and K>1; and predicting the current block based on the first weight derivation mode and the K first prediction modes, to obtain a prediction value of the current block.