Intra Prediction Mode Derivation With MIP for Lower Bit Overhead
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Solution Overview
Problem
Existing video coding technologies face challenges in improving compression efficiency and reducing transmission overhead, particularly in the context of the next-generation video coding standard H.266/VVC, where current methods like DIMD, TIMD, and MIP have limitations in handling varying textures and require significant bit overhead.
Innovation Solution
A method that combines intra prediction mode derivation technologies (such as DIMD or TIMD) with matrix-weighted intra prediction (MIP) to determine intra prediction values, eliminating the need to transmit mode indices and flags, thereby enhancing compression efficiency and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional intra prediction modes (DIMD, TIMD, MIP) are used separately, then prediction quality can be maintained for specific texture types, but transmission overhead increases due to mode indices and flags
Solution Approach 1:
The patent combines multiple intra prediction modes (DIMD, TIMD, and MIP) into a unified derivation mode framework. The decoder derives prediction modes by combining results from these different methods, eliminating the need to transmit separate mode indices and flags for each technique, thereby reducing transmission overhead while maintaining adaptability across varying textures
Solution Approach 2:
The derivation mode serves as a universal mechanism that can adapt to different texture types by deriving prediction modes from multiple sources (DIMD, TIMD, MIP) rather than requiring separate dedicated modes for each texture type. This multi-functional approach maintains prediction quality across diverse textures while using a single unified transmission mechanism
2Manufacturing precision
If multiple separate prediction modes are transmitted with their own indices and flags, then specific prediction quality can be achieved for different texture types, but device complexity and processing overhead increase
Solution Approach 1:
The decoder performs self-service by deriving prediction modes locally using the combined DIMD, TIMD, and MIP methods without requiring the encoder to transmit detailed mode information. The derivation process automatically adapts to the local texture characteristics, maintaining prediction precision while reducing coding complexity
Solution Approach 2:
The patent performs preliminary derivation of prediction modes at the decoder side using pre-defined relationships between DIMD, TIMD, and MIP results. This preliminary action eliminates the need for complex transmission and selection logic, reducing device complexity while maintaining the ability to achieve precise prediction for different texture types
Data Source
AI summary
Embodiments of the present disclosure provide a decoding method, an encoding method, and a non-transitory computer-readable storage medium. The decoding method includes the following. An intra prediction mode parameter is obtained, where the intra prediction mode parameter indicates that an intra prediction value is determined using a derivation mode. At least one first intra prediction mode is determined according to the derivation mode. A matrix weighted intra prediction (MIP) mode for a first current block is determined. An intra prediction value of the first current block is determined according to the at least one first intra prediction mode and the MIP mode.