Video Signal Decoding With Brightness-Change Weight Prediction
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Solution Overview
Problem
Existing video encoding and decoding technologies face challenges in improving intra-prediction and inter-prediction efficiency, particularly in scenarios with low video correlation, and require more accurate motion vector precision and intra-prediction mode handling.
Innovation Solution
The method involves determining whether a current block is merged with a neighbor block, obtaining motion information and weight prediction parameters, and adjusting motion vectors based on reconstructed pixels, while also correcting intra-prediction results by generating and encoding candidate modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inter-prediction is used to achieve high prediction efficiency, then prediction accuracy improves, but the method becomes incorrect when correlation between videos is low (e.g., during fade-in or fade-out)
Solution Approach 1:
The patent dynamically switches between inter-prediction and intra-prediction modes based on the correlation between reference video and current video. When correlation is high, inter-prediction is used for high efficiency; when correlation is low (e.g., during fade-in/fade-out), the system switches to intra-prediction to maintain reliability, thus resolving the contradiction between prediction accuracy and reliability
Solution Approach 2:
The prediction method is made dynamic by allowing adaptive selection between different prediction modes (inter-prediction and intra-prediction) based on real-time correlation assessment. This dynamic adaptation enables the system to maintain both high prediction efficiency and reliability across varying video conditions
2Productivity
If more accurate motion information or precise intra-prediction mode is used to improve encoding efficiency, then prediction efficiency improves, but the amount of data to be transmitted increases
Solution Approach 1:
The patent applies different prediction modes and motion information precision at different locations (blocks) within a video frame based on local characteristics. This allows high encoding efficiency in regions with high correlation while reducing overhead in regions where simple prediction modes suffice, thus resolving the contradiction between encoding efficiency and overhead
Solution Approach 2:
The video is divided into blocks that can be processed independently with different prediction strategies. This segmentation enables selective application of high-precision motion information where needed and simpler prediction where sufficient, optimizing the balance between encoding efficiency and data transmission overhead
Data Source
AI summary
A method of decoding a video signal according to the present invention may include: determining whether or not change in brightness is present between a current video including a current block and a reference video of the current video; when it is determined that change in brightness is present between the current video and the reference video, determining weight prediction parameter candidates of the current block; determining a weight prediction parameter of the current block on the basis of index information specifying any of the weight prediction parameter candidates; and performing prediction for the current block on the basis of the weight prediction parameter.