Matrix-Based Intra Prediction for Video Compression Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-resolution and high-quality images/videos, such as 4K and 8K ultra high definition, leads to higher bit rates, resulting in increased transmission and storage costs. Additionally, the need for efficient compression techniques is exacerbated by the growing interest in immersive media like virtual and augmented reality.
Innovation Solution
The proposed solution involves an image coding technique that utilizes matrix-based intra prediction (MIP) to enhance coding efficiency. This method includes receiving flag information indicating the use of MIP for a current block, deriving MIP mode information, generating intra prediction samples, and producing reconstructed samples using a truncated binarization method for syntax element bin strings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of stationary object
If conventional image coding techniques are used for high-resolution images/videos, then image quality is maintained, but transmission and storage costs increase due to higher bit rates
Solution Approach 1:
The patent applies parameter changes by introducing matrix-based intra prediction modes that transform the prediction process from traditional directional methods to matrix operations. This allows for more efficient representation of image blocks, reducing the number of bits required to encode high-resolution images while maintaining quality. The matrix parameters enable adaptive prediction that better captures image characteristics, thereby compressing the bit rate.
Solution Approach 2:
The patent substitutes traditional mechanical intra prediction methods (directional prediction, DC prediction, gradient prediction) with a matrix-based mathematical system. This replacement enables more flexible and efficient prediction through matrix operations, achieving better compression ratios for high-resolution content without sacrificing image quality.
2Productivity
If traditional intra prediction methods are used, then implementation is simpler, but coding efficiency is lower
Solution Approach 1:
The patent segments the intra prediction process into distinct matrix-based modes that can be selectively applied to different image blocks. By dividing the prediction task into manageable matrix operations, the system achieves higher coding efficiency while keeping implementation complexity controlled through modular design and selective application of different matrix modes.
Solution Approach 2:
The matrix-based intra prediction framework provides universal functionality that can handle various image characteristics through a unified mathematical approach. The same matrix operations can adapt to different block sizes, textures, and gradient patterns, improving coding efficiency across diverse content types without requiring multiple specialized prediction mechanisms.
3Loss of energy
If more intra prediction modes are added to improve compression, then compression efficiency increases, but device complexity increases
Solution Approach 1:
The patent introduces dynamic selection of matrix-based intra prediction modes based on image content characteristics. The system adaptively chooses appropriate matrix modes for different blocks, enabling efficient compression when needed while avoiding unnecessary complexity for blocks that don't benefit from matrix prediction. This dynamic approach balances compression efficiency with implementation complexity.
Solution Approach 2:
The patent applies local quality by using matrix-based prediction selectively for specific image blocks that benefit from it, rather than uniformly applying it to all blocks. This localized application ensures that compression efficiency is improved where needed while maintaining simpler processing for other areas, thereby managing device complexity effectively.
Data Source
AI summary
An image decoding method according to the present document may comprise the steps of: receiving flag information indicating whether or not matrix-based intra prediction (MIP) is to be used for a current block; receiving matrix-based intra prediction (MIP) mode information on the basis of the flag information; generating intra prediction samples for the current block on the basis of the MIP mode information; and generating reconstructed samples for the current block on the basis of the intra prediction samples, wherein a syntax element bin string for the MIP mode information is binarized by using a truncated binarization method.