Motion Vector Prediction Sampling for Video Coding Blocks

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Solution Overview

Problem

Existing video coding standards, such as ITU-T H.265 and JEM, face inefficiencies in motion vector prediction, particularly in deriving motion vector predictors, which can lead to suboptimal compression and increased data requirements.

Innovation Solution

The proposed method involves determining a selected motion vector predictor origin, deriving offset values, and using a sampling map to generate a prediction for a current video block, enhancing the motion vector prediction process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional motion vector prediction methods are used in HEVC, then the coding process is simpler, but the motion vector prediction accuracy is insufficient leading to suboptimal video compression

Engineering Contradiction:

Improvemotion vector prediction accuracyVSAvoidcoding process complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the motion vector prediction process into multiple distinct stages: determining predictor origin, selecting sampling map, deriving offset values, and selecting sampling points. This segmentation allows each stage to be optimized independently, improving overall prediction accuracy while managing complexity through structured processing.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces dynamic selection of sampling maps and sampling points based on the specific characteristics of the current video block and candidate blocks. Rather than using a fixed prediction method, the system dynamically adapts the prediction process to exploit temporal redundancies more effectively, thereby improving motion vector accuracy without applying excessive complexity uniformly across all blocks.

Inventive Principle:

Principle #15Dynamics

2Productivity

If motion information from multiple candidate blocks is leveraged with improved prediction methods, then video compression efficiency improves, but data requirements and processing complexity increase

Engineering Contradiction:

Improvevideo compression efficiencyVSAvoiddata requirements

Core Design Contradiction:

ProductivityVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential motion information from candidate blocks that is needed for prediction, rather than processing all available data. By selectively extracting motion vectors and relevant characteristics from multiple candidate blocks and combining them through the sampling map mechanism, the system improves compression efficiency while avoiding the overhead of transmitting redundant information.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent merges motion information from multiple candidate blocks through a unified prediction framework that combines temporal and spatial predictors. This merging process exploits temporal redundancies across multiple references, improving compression efficiency by representing multiple motion sources more compactly than separate encoding would require.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS12627833B2Method of deriving motion vector information for a coding block, and device for deriving motion vector information for a coding block

Publication Date: 2026.05.12 SHARP KK

AI summary

Systems and methods for performing motion vector prediction for video coding are disclosed. A motion vector predictor is determined based at least in part on motion information associated with a selected motion vector predictor origin and offset values corresponding to a selected sampling point. The sampling point is specified according to a set of direction and distance on a sampling map for the motion vector predictor origin.