Picture Decoding with Segmented Prediction Groups
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Solution Overview
Problem
Existing video coding and decoding technologies suffer from low prediction efficiency, leading to suboptimal coding and decoding processes.
Innovation Solution
The implementation of flexible prediction methods by partitioning coding and decoding units into multiple prediction groups with different modes, allowing parallel processing and tailored prediction strategies for each group, enhancing prediction and coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If prediction is performed directly for the coding unit itself, then the process is simple, but prediction efficiency is low
Solution Approach 1:
The coding unit is divided into multiple prediction groups (e.g., first prediction group, second prediction group, third prediction group) with different prediction modes. This segmentation allows each group to be processed independently with optimized prediction strategies, thereby improving overall prediction efficiency while maintaining manageable complexity through structured division.
Solution Approach 2:
Different prediction modes are assigned to different prediction groups within the same coding unit. For example, the first prediction group uses horizontal prediction, the second uses vertical prediction, and the third uses diagonal prediction. This local differentiation allows each region to use the most appropriate prediction mode for its specific characteristics, enhancing prediction efficiency.
2Productivity
If a single prediction mode is used for the entire coding unit, then the process is simple, but coding efficiency is reduced due to inability to handle diverse patterns
Solution Approach 1:
The system dynamically selects different prediction modes for different prediction groups based on the specific characteristics of each group. The prediction mode selection is not fixed but adapted to the content characteristics, allowing the system to optimize coding efficiency for diverse patterns while maintaining flexibility in handling various video content types.
Data Source
AI summary
Picture decoding methods and apparatuses, and picture encoding methods and apparatuses, relating to video coding and decoding technologies are provided, which can solve a problem of low prediction efficiency in a process of picture coding and decoding (or video coding and decoding). An example picture decoding method includes: parsing a bit stream to obtain a syntax element, where the syntax element is configured to obtain a residual block of a to-be-decoded unit, and the to-be-decoded unit includes at least one prediction group; determining a prediction mode of any one prediction group in the at least one prediction group; obtaining a prediction value of the any one prediction group by performing prediction for the any one prediction group with the prediction mode; and decoding the to-be-decoded unit based on the residual block of the to-be-decoded unit and the prediction value of each one in the at least one prediction group.