Adaptive Prediction Mode Selection for Video Encoding Efficiency
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Solution Overview
Problem
RGB encoding and decoding technologies according to the H.264/MPEG-4 AVC FRExt standard are not satisfactory for providing high encoding and decoding efficiencies for moving pictures.
Innovation Solution
A method and system that select an optimal prediction mode for each color component of a current image based on its characteristics, generating a predicted image and residues, and encoding these residues to create a bitstream, which is then decoded to restore the original image, optimizing the prediction mode for each block to enhance encoding and decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single prediction mode is used for all color components, then device complexity is reduced, but encoding efficiency deteriorates
Solution Approach 1:
The patent segments the prediction mode selection process by color component, allowing independent optimization for luminance (Y) and chrominance (Cb, Cr) components. The encoder separately determines optimal prediction modes for each color component based on its specific characteristics, resolving the contradiction between simplified processing and encoding efficiency by applying segmentation to the prediction mode handling.
Solution Approach 2:
The patent applies local quality by allowing different prediction modes to be used for different color components (Y, Cb, Cr) based on their individual characteristics. The luminance component may use one prediction mode while chrominance components use another, optimizing encoding efficiency for each component's specific properties rather than forcing a uniform approach.
2Adaptability or versatility
If color space transformation from RGB to YCbCr is performed, then compatibility with existing standards is improved, but picture quality deteriorates
Solution Approach 1:
The patent introduces dynamic adaptability by enabling optional RGB encoding mode in addition to the traditional YCbCr transformation. The system can dynamically select between YCbCr transformation (for standard compatibility) and direct RGB encoding (for superior picture quality), allowing flexible adaptation to different requirements without being constrained to a fixed transformation process.
Solution Approach 2:
The patent changes the color space parameter from fixed YCbCr transformation to variable color space representation. By allowing direct RGB encoding as an alternative parameter configuration, the system can maintain standard compatibility when needed while achieving superior picture quality through RGB-based prediction when the application demands higher fidelity.
3Productivity
If multiple prediction modes are evaluated for each block, then encoding efficiency is improved, but processing time increases
Solution Approach 1:
The patent segments the prediction mode evaluation process by color component, evaluating and selecting optimal prediction modes separately for luminance and chrominance components. This segmentation reduces the overall processing complexity compared to evaluating all modes for all components uniformly, while still achieving high encoding efficiency through component-specific optimization.
Solution Approach 2:
The patent applies local quality by selecting prediction modes based on specific characteristics of each color component. Rather than uniformly applying complex multi-mode evaluation across all components, the system selectively optimizes prediction modes for components where it provides the greatest benefit, reducing unnecessary processing while maintaining encoding efficiency.
Data Source
AI summary
A method, medium, and system encoding and/or decoding a moving picture. The moving picture encoding method may include selecting a prediction mode that is optimal for the macro blocks, which correspond to each other, of the color components of a current image based on the characteristics of a predetermined image, generating a predicted image for the current image according to the selected prediction mode, and encoding a moving picture using the predicted image. An optimal prediction mode can be adaptively applied to the macro blocks, which correspond to each other, of the color components, thereby increasing the moving picture's encoding and decoding efficiencies.