Video Block Prediction Using Offset Regression for Coding Efficiency

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Solution Overview

Problem

Existing video coding technologies, such as MPEG-2, MPEG-4, ITU-T H.263, ITU-T H.264/MPEG-4 AVC, ITU-T H.265 HEVC, and VVC, require improvements in coding efficiency and effectiveness.

Innovation Solution

Implementing an offset-based regression model and local illumination compensation (LIC) for video processing, along with intra fusion using multiple reference lines, to enhance the conversion between video blocks and bitstreams.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional video coding technologies (MPEG-2, MPEG-4, H.264, H.265, VVC) are used, then video compression is achieved, but coding efficiency and effectiveness are insufficient

Engineering Contradiction:

Improvecoding efficiencyVSAvoidcoding effectiveness

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent applies offset-based regression models that dynamically adjust parameters (offsets) to modulate the relationship between current and reference areas in video blocks. This parameter adjustment mechanism improves both coding efficiency by optimizing compression and coding effectiveness by maintaining prediction accuracy through adaptive parameter modification.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If regression models are applied to modulate the relationship between current area and reference area, then coding efficiency is improved, but computational complexity increases

Engineering Contradiction:

Improvecoding efficiencyVSAvoidmodel complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements Local Illumination Compensation (LIC) that applies regression models locally to specific video blocks rather than globally. This local application approach improves coding efficiency for regions with illumination variations while keeping the overall system complexity manageable by selectively applying the model only where needed.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent uses partial regression modeling by applying offset-based adjustments only to specific areas (current and reference areas) of video blocks that benefit from illumination compensation, rather than processing the entire video frame uniformly. This selective approach optimizes the balance between coding efficiency improvement and computational complexity.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250343916A1Method, apparatus, and medium for video processing

Publication Date: 2025.11.06 DOUYIN VISION CO LTD

AI summary

Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. In the method, for a conversion between a current video block of a video and a bitstream of the video, a filtered prediction of the current video block is determined based on an offset based regression model. The offset based regression model modulates a relationship between a current area and a reference area of the current video block. The conversion is performed based on the filtered prediction.