Inter Prediction Reference Unit Selection for Video Compression
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Solution Overview
Problem
Existing video encoding and decoding technologies face inefficiencies in handling high-resolution and high-definition images, particularly in inter prediction methods, which affect the compression and decoding performance.
Innovation Solution
An inter prediction method that selects candidate units from reconstructed neighboring units, generates a candidate unit set, and determines a reference unit for decoding, using parameters like motion vectors and reference pictures to improve efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If inter prediction is performed using reconstructed neighboring units, then video encoding/decoding efficiency is improved, but the complexity of determining the reference unit increases
Solution Approach 1:
The patent segments the reference unit determination process into distinct stages: identifying candidate neighboring units, selecting candidate units based on criteria (boundary length, size, depth value), and finally determining the reference unit from the candidate set. This segmentation reduces complexity by breaking down the overall task into manageable sub-tasks with clear decision rules for each stage.
Solution Approach 2:
The patent performs preliminary actions by pre-identifying and selecting candidate units from neighboring units before the actual reference unit determination. Units are pre-filtered based on boundary length, size, and depth value criteria, creating a reduced candidate set that simplifies the subsequent reference unit selection process and improves encoding efficiency.
2Measurement precision
If multiple candidate units are selected based on boundary lengths, sizes, and depth values, then inter prediction accuracy is improved, but the processing time increases
Solution Approach 1:
The patent applies local quality by evaluating different neighboring units based on their specific local characteristics: boundary length adjacent to the current unit, size of the unit, and depth value in the hierarchy. Each unit is assessed according to its local properties rather than applying a uniform criterion, allowing accurate selection while maintaining reasonable processing time through targeted evaluation.
Solution Approach 2:
The patent implements partial action by not evaluating all possible neighboring units exhaustively. Instead, it selectively evaluates units based on predefined criteria (boundary length threshold, size threshold, depth value threshold) to identify a sufficient candidate set. This partial evaluation approach achieves adequate prediction accuracy without the excessive processing time that would result from exhaustive search of all possible units.
Data Source
AI summary
An inter prediction method according to the present invention comprises the steps of: selecting candidate units from among reconstructed neighbor units; creating a candidate unit set with respect to units to be decoded, using the selected candidate units; determining a reference unit from among the candidate units which constitute the created candidate unit set; and performing inter prediction on the units to be decoded, using the determined reference unit. According to the present invention, image encoding/decoding efficiency can be improved.


