Bi-Prediction Weight Indexing for Efficient Video Decoding
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality images and immersive media formats like VR and AR necessitates more efficient image/video compression techniques to reduce transmission and storage costs.
Innovation Solution
The method involves deriving weight index information for bi-prediction during inter-prediction, specifically using affine merge candidates when motion vectors are available at control points, and deriving weight index information from alternate control points when not available.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution and high quality image/video are transmitted or stored using conventional methods, then image quality is maintained, but transmission and storage costs increase significantly
Solution Approach 1:
The patent applies bi-prediction with weight index information to change the prediction parameters, allowing more flexible and accurate motion compensation. This enables better compression ratios while maintaining high image quality, thereby reducing transmission and storage costs for high-resolution content
2Productivity
If conventional inter-prediction methods are used, then decoding complexity is reduced, but compression efficiency deteriorates
Solution Approach 1:
The patent performs preliminary construction of affine merge candidates and derives weight index information in advance during the encoding process. This preliminary action allows the decoder to use pre-computed data, improving compression efficiency without proportionally increasing decoding complexity
Solution Approach 2:
The patent introduces weight index information as an intermediary parameter that bridges the motion vectors from different reference lists. This intermediary enables more accurate bi-prediction by providing explicit weighting factors, improving compression efficiency while keeping the additional computational complexity manageable
Data Source
AI summary
According to the disclosure of the present document, when the inter-prediction type of the current block indicates biprediction, weight index information for a candidate in a merge candidate list or sub-block merge candidate list can be derived, and coding efficiency can be raised.