Prediction Unit Partitioning for Efficient Intra-Prediction Decoding
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality videos leads to higher data amounts, resulting in increased transmission and storage costs, necessitating more efficient video compression techniques.
Innovation Solution
A method of decoding video by partitioning prediction units into multiple transform units and performing intra prediction based on a predetermined mode, along with differentially setting coding units for low complexity decoding, and adapting entropy encoding modes based on coefficient properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If video compression techniques are used to reduce data amount, then transmission and storage costs are reduced, but video quality and resolution may deteriorate
Solution Approach 1:
The prediction unit is divided into multiple transform units, allowing independent processing of different regions. This segmentation enables more precise control over compression artifacts in different areas, maintaining video quality while achieving efficient compression through region-specific optimization.
Solution Approach 2:
Different intra prediction modes are applied to different transform units based on local characteristics. This local quality approach ensures that each region is compressed with the most appropriate method for its specific content, preserving important visual details while achieving overall compression efficiency.
2Productivity
If a prediction unit is divided into multiple transform units for intra prediction, then encoding efficiency is improved, but decoding complexity increases
Solution Approach 1:
The prediction unit is segmented into multiple transform units with different prediction modes. This segmentation improves encoding efficiency by allowing fine-grained optimization but increases decoding complexity due to the need to process multiple units separately.
Solution Approach 2:
The patent applies different levels of partitioning to different regions based on their complexity requirements. Not all prediction units are divided into multiple transform units - only those where it provides significant encoding benefit, thus balancing encoding efficiency improvement against decoding complexity increase.
3Device complexity
If coding units are differentially set based on size, then decoding complexity is reduced, but encoding flexibility is limited
Solution Approach 1:
The patent implements differentially setting prediction units based on coding unit size. Larger coding units use fewer or no prediction units, while smaller coding units use more prediction units. This local adaptation reduces decoding complexity for uniform regions while maintaining encoding flexibility for detailed regions.
Solution Approach 2:
The number and size of prediction units are dynamically adjusted based on the coding unit size parameter. This parameter change approach allows the system to adapt its complexity to the content requirements, reducing decoding complexity for simple content while maintaining encoding flexibility for complex content.
Data Source
AI summary
Disclosed are a method for partitioning a block and a decoding device. A method for decoding an image comprises the steps of: partitioning one prediction unit, in which an intra prediction is performed in a predetermined intra prediction mode, into a plurality of transform units; and performing the intra prediction for each of the plurality of the transform units on the basis of the predetermined intra prediction mode. Thus, the invention increases the image encoding efficiency.