Aspect-Ratio-Based Sample Distance for Geometric Video Coding

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Solution Overview

Problem

Existing video coding technologies face challenges in achieving efficient compression with minimal quality sacrifice, particularly in handling the large data volumes of video data across limited bandwidth networks and storage devices.

Innovation Solution

A method and apparatus for calculating sample distance values based on the ratio of block width to height and angular parameters, enhancing prediction accuracy and reducing prediction residuals, thereby improving coding efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If video data is compressed to reduce data volume for transmission over limited bandwidth networks, then the quantity of data needed is decreased, but picture quality may be sacrificed

Engineering Contradiction:
Improvedata volumeVSAvoidpicture quality
Core Design Contradiction:
Quantity of substanceVSManufacturing precision

Solution Approach 1:

The video block is divided into two triangular sub-blocks using geometric partitioning with a separation line defined by angle and distance parameters. This segmentation allows independent prediction for each sub-block, improving compression efficiency while maintaining picture quality by adapting to local image structures.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent uses angle parameters (e.g., alphaIdx) and distance parameters (e.g., distIdx) to define the geometric partition configuration. By varying these parameters, the partitioning adapts to different image regions, optimizing both compression ratio and reconstruction quality without sacrificing picture fidelity.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If geometric partitioning is used to improve prediction accuracy, then coding efficiency is improved, but calculation complexity increases due to sample distance computation

Engineering Contradiction:
Improvecoding efficiencyVSAvoidcalculation complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The sample distance calculation uses the block's own width and height dimensions along with the geometric partition parameters to compute distances. This self-service approach eliminates the need for external reference data or complex lookup tables, reducing computational complexity while maintaining prediction accuracy.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent transforms the geometric partition definition from complex coordinate-based specifications to simplified angle and distance parameters. This parameter transformation enables efficient sample distance calculation using basic trigonometric relationships, reducing computational complexity while preserving prediction accuracy.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250280122A1Sample distance calculation for geometric partition mode
Publication Date: 2025.09.04 HUAWEI TECH CO LTD
  • US20250280122A1 patent drawing
  • US20250280122A1 patent drawing
  • US20250280122A1 patent drawing

AI summary

A method of coding implemented by a decoding device or encoding device, the method comprising obtaining a value of an angle parameter for a current block; obtaining a value of a width of the current block and a value of a height of the current block; calculating a ratio value between the value of the width and the value of height; obtaining a first value according to the value of angle parameter and the ratio value; calculating a sample distance value for a sample in the current block according to the first value; obtaining a prediction value for the sample in the current block according to the sample distance value.