Inter Prediction Mode-Based Image Processing for Video Compression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In moving picture compression techniques, the prediction error and compression performance are compromised due to the splitting of prediction units and the increase in additional information, particularly with bi-directional inter prediction methods.
Innovation Solution
The method involves using multiple partitioning modes for inter prediction, where motion information from different prediction units is derived and combined to generate prediction blocks of various shapes, reducing prediction error and additional information by applying different partitioning modes for each reference picture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bi-directional inter prediction is used with prediction blocks of the same type averaged, then prediction can be performed, but prediction error increases and compression performance deteriorates due to splitting of prediction units and increase of additional information
Solution Approach 1:
The prediction block is divided into multiple sub-prediction units (first and second sub-prediction units) with different partitioning modes. Each sub-prediction unit can be processed independently with optimized partitioning, reducing the overall prediction error while managing complexity through structured segmentation rather than uniform splitting.
Solution Approach 2:
Different partitioning modes are applied to different sub-prediction units within the same prediction block. The first sub-prediction unit uses a first partitioning mode and the second sub-prediction unit uses a second partitioning mode, allowing each region to be optimized for its specific characteristics rather than using a uniform approach.
2Reliability
If prediction blocks are split into multiple units, then prediction accuracy can be improved, but additional information amount increases which deteriorates compression performance
Solution Approach 1:
Multiple sub-prediction units with different partitioning modes are combined to form the final prediction block. The first prediction block and second prediction block are merged through averaging or weighted averaging to produce the final prediction, achieving accurate prediction while minimizing the information overhead by combining results rather than transmitting separate units.
3Reliability
If multiple partitioning modes are applied to different reference pictures, then prediction error is reduced and compression performance is enhanced, but the complexity of deriving motion information increases
Solution Approach 1:
Motion information is derived separately for each sub-prediction unit before combining the prediction blocks. By preparing motion information in advance for each partitioned region with its specific partitioning mode, the complex task is broken down into manageable steps, reducing the overall computational burden while maintaining high prediction accuracy.
Data Source
AI summary
The present invention discloses an inter prediction mode-based image processing method and an apparatus therefore. Specifically, a method for processing an image based on an inter prediction may include: deriving motion information of a first prediction unit determined by a first partitioning mode of a current block and motion information of a second prediction unit determined by a second partitioning mode of the current block; generating a prediction block of the first prediction unit by using the motion information of the first prediction unit and generating a prediction block of the second prediction unit by using the motion information of the second prediction unit; and generating a prediction block of the current block in units of sub-prediction unit determined by combining the first prediction unit and the second prediction unit by using the first prediction block and the second prediction block.