Video Signal Prediction Using Binary and Quad Tree Partitioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-resolution and high-quality video signals leads to larger data sizes, resulting in higher costs for transmission and storage, and existing image compression techniques are inadequate for efficiently encoding and decoding stereographic image content.
Innovation Solution
A method and device for encoding and decoding video signals that hierarchically partition coding blocks using intra prediction modes, including extended modes and correction techniques based on reference samples, weights, and offsets, allowing for adaptive and efficient processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image compression techniques are used for high-resolution video signals, then transmission and storage costs increase, but image quality and resolution requirements cannot be met
Solution Approach 1:
The current block is divided into multiple prediction blocks through hierarchical partitioning using binary trees and quad trees. This segmentation allows for more precise intra prediction by processing smaller blocks with appropriate prediction modes, improving image quality while maintaining compression efficiency by adapting to local image characteristics.
Solution Approach 2:
The patent implements dynamic selection of intra prediction modes and hierarchical partitioning structures based on block characteristics. The system adapts the partitioning depth and prediction mode selection to match the actual image content, optimizing the balance between compression ratio and image quality for different regions.
2Productivity
If existing compression techniques are applied to stereographic image content, then encoding efficiency is insufficient, but data size remains large
Solution Approach 1:
The patent applies hierarchical partitioning to divide the current block into multiple prediction blocks using binary trees and quad trees. This segmentation enables more efficient encoding by allowing different prediction modes to be applied to different regions, improving overall encoding efficiency for stereographic content while reducing the bitrate required.
Solution Approach 2:
The patent implements extended intra prediction modes that provide different prediction strategies for different regions within a block. By applying local adaptation through multiple prediction modes and hierarchical partitioning, the system achieves better encoding efficiency for stereographic content with reduced data requirements.
3Manufacturing precision
If simple partitioning methods are used for coding blocks, then device complexity is low, but encoding accuracy and adaptability are insufficient
Solution Approach 1:
The patent uses hierarchical partitioning with binary trees and quad trees to divide coding blocks into smaller prediction blocks. This segmentation structure provides flexible and accurate adaptation to image content while maintaining a systematic approach that balances complexity and encoding precision through structured decomposition.
Solution Approach 2:
The patent implements dynamic partitioning where the hierarchical structure (binary tree or quad tree) and partitioning depth are selected based on block characteristics and content requirements. This dynamic adaptation allows the system to achieve high encoding accuracy while managing device complexity through intelligent decision-making rather than exhaustive processing.
Data Source
AI summary
Provided are a method and a device for decoding a video signal to provide stereographic image content with high resolution. The method may include determining motion information of a current block and obtaining a prediction sample of the current block based on a weighted sum operation of a first predicted sample and a second predicted sample of the current block. The method may further include deriving the first predicted sample by using the motion information of the current block and deriving the second predicted sample by using at least one reference sample of the current block, wherein a set of weights applied to the first predicted sample and the second predicted sample is determined based on whether a prediction mode of a neighboring block adjacent to the current block is inter prediction or intra prediction.


