Inter Prediction Subblock Partitioning for Video Encoding Efficiency
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Solution Overview
Problem
Conventional video encoding/decoding methods face limitations in enhancing encoding/decoding efficiency due to a limited number of alternative reference blocks for inter prediction, particularly in generating inter-prediction blocks for current encoding target blocks.
Innovation Solution
A method and apparatus that determine multiple reference blocks from different reference pictures and partition the current block into subblocks, using reference candidate block index information to generate prediction blocks based on weighted sums of these reference blocks, thereby increasing the number of reference candidates for inter prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a limited number of alternative reference blocks are used for inter prediction, then the device complexity is reduced, but the encoding/decoding efficiency is worsened
Solution Approach 1:
The current block is divided into multiple subblocks, and each subblock independently selects from multiple reference block candidates. This segmentation allows parallel processing and flexible reference selection for different regions, improving prediction efficiency without requiring a single complex reference selection mechanism for the entire block.
Solution Approach 2:
The patent transitions from using a single reference block to using multiple reference blocks across different reference pictures. By adding the temporal dimension (multiple reference pictures) and spatial dimension (multiple reference blocks per picture), the system achieves more accurate predictions while managing complexity through structured candidate generation.
2Measurement precision
If multiple reference blocks are used for inter prediction, then the prediction accuracy is improved, but the processing time is worsened
Solution Approach 1:
Multiple reference block candidates are pre-generated and prepared before the actual prediction process. The reference pictures and candidate blocks are ready in advance, allowing the prediction to be performed efficiently without time-consuming on-the-fly reference block generation during the encoding/decoding process.
Solution Approach 2:
The system automatically generates and manages multiple reference block candidates based on the current block's characteristics and available reference pictures. The reference candidate generation process is self-regulating, adapting to different block sizes and content without requiring external intervention or manual configuration.
3Adaptability or versatility
If the current block is partitioned into subblocks, then the adaptability of prediction is improved, but the device complexity is worsened
Solution Approach 1:
The current block is divided into multiple subblocks, and each subblock independently selects from multiple reference block candidates. This segmentation allows parallel processing and flexible reference selection for different regions, improving prediction efficiency without requiring a single complex reference selection mechanism for the entire block.
Solution Approach 2:
The system dynamically determines the number and configuration of subblocks based on the current block's size and characteristics. The reference candidate generation process is adaptive, adjusting to different block partitions without requiring a fixed complex structure, allowing flexibility while managing complexity through dynamic configuration.
Data Source
AI summary
The present invention provides a method and apparatus for encoding/decoding an image to enhance inter prediction. According to the present invention, the method includes: determining a first reference picture and a second reference picture of a current block; determining both a first reference block in the first reference picture and a second reference block in the second reference picture; partitioning the current block into a plurality of sub blocks; and obtaining a prediction block of each of the sub blocks on the basis of reference candidate block index information of each of the sub blocks.