Video Coding Block Merging for High-Resolution Signal Efficiency
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Solution Overview
Problem
Current video signal processing methods face inefficiencies in encoding and decoding due to the increasing data volume of high-resolution images, particularly in transmitting and storing high-definition and ultra-high-definition images, which necessitate more effective splitting and merging of encoding/decoding blocks.
Innovation Solution
A method and apparatus that determine candidate coding blocks for merging with a current coding block based on shared prediction information and coding parameter similarity or proximity, allowing for symmetric or asymmetric partitioning, including polygonal shapes, to enhance encoding/decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video resolution and quality are increased to meet high-definition and ultra-high-definition demands, then image quality improves, but data transmission and storage costs increase
Solution Approach 1:
The patent applies segmentation by dividing the current block into multiple sub-blocks for independent processing. This allows more efficient compression by adapting to local variations in the image data, thereby maintaining high quality while reducing the overall data volume that needs to be transmitted and stored.
Solution Approach 2:
The patent implements local quality by allowing different prediction modes and processing methods for different sub-blocks within the current block. This enables high-resolution regions to be preserved with greater detail while lower-resolution regions use more aggressive compression, optimizing the balance between quality and data size.
2Productivity
If conventional block splitting methods are used for encoding high-resolution video, then processing is simple, but encoding/decoding efficiency is insufficient
Solution Approach 1:
The patent applies dynamics by making the block splitting structure adaptive rather than fixed. The encoder can dynamically determine the optimal splitting pattern based on the content characteristics of each block, allowing the system to adjust its complexity based on the actual processing needs of different video regions.
Solution Approach 2:
The patent implements nesting by creating a hierarchical block structure where the current block can be divided into sub-blocks that may themselves be further divided. This nested approach allows for flexible multi-level partitioning that can achieve high encoding efficiency while maintaining a systematic and manageable processing framework.
3Measurement precision
If high-resolution stereographic image content is provided to meet increasing demands, then service quality improves, but data volume increases
Solution Approach 1:
The patent applies merging by combining the current block with neighboring blocks when their prediction information and coding parameters are similar. This block merging technique reduces the total number of blocks that need to be processed and transmitted, thereby reducing data volume while maintaining the quality of high-resolution stereographic content.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting coding parameters such as block size, prediction mode, and merging decisions based on the local characteristics of the video content. This allows the system to optimize the balance between service quality and data volume by adapting parameters to the specific requirements of each region.
Data Source
AI summary
A method for decoding a video according to the present invention may comprise: determining candidate coding blocks available to be merged with a current coding block, selecting at least one among the candidate coding blocks, and merging the current coding block and the selected candidate coding block.