Cross-Component Picture Prediction With Filtered Color Statistics

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Solution Overview

Problem

Existing video coding standards, such as H.266/VVC, fail to consider the differences in statistical characteristics of various color components, leading to low prediction efficiency in cross-component prediction.

Innovation Solution

Implement a method for picture prediction that involves obtaining an initial predicted value through a prediction model, filtering it, and adjusting the statistical characteristics of color components to balance their differences, using techniques like filtering, grouping, value modification, quantization, and de-quantization to improve prediction efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If cross-component prediction is implemented without considering statistical characteristics differences, then the prediction process is simple, but the prediction efficiency is low

Engineering Contradiction:

Improveprediction efficiencyVSAvoidprediction process complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by modifying the statistical characteristics of color components through filtering operations. The initial predicted values are filtered to adjust their statistical properties (mean, variance) to better match the actual color component characteristics, thereby improving prediction efficiency without fundamentally changing the cross-component prediction framework

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent implements preliminary action by performing filtering operations on the initial predicted values before using them for final prediction. This preprocessing step adjusts the statistical characteristics in advance, ensuring that the prediction values better align with the actual color component distributions, thus improving overall prediction efficiency

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If filtering operations are applied to align statistical characteristics, then prediction accuracy improves, but computational complexity increases

Engineering Contradiction:

Improveprediction accuracyVSAvoidcomputational complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent changes parameters by adjusting the statistical properties (mean and variance) of predicted values through filtering. This allows the predicted color components to better match the actual statistical characteristics, improving prediction accuracy while using computationally efficient filtering operations

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent introduces filtering operations as an intermediary step between obtaining initial predicted values and final prediction results. This intermediary process adjusts statistical characteristics without requiring complex transformations, balancing accuracy improvement with computational feasibility

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250365437A1Method for picture prediction, encoder, and decoder

Publication Date: 2025.11.27 GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD

AI summary

A method for picture prediction, an encoder, and a decoder are provided. The method includes the following. An initial predicted value of a colour component to-be-predicted of a current block in a picture is obtained through a prediction model. The initial predicted value is filtered and a target predicted value of the colour component to-be-predicted of the current block is obtained.