Intra Chroma Prediction Mode Selection for Better Video Compression
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Solution Overview
Problem
Existing video encoding/decoding technologies face inefficiencies in handling high-resolution and high-quality images, particularly in managing intra prediction modes for chroma channels, leading to increased data transmission and storage costs.
Innovation Solution
The method involves determining intra chroma prediction modes based on the frequency, size, and shape of chroma blocks, using a linear model (LM) mode, derived luma (DM) mode, Planar mode, Vertical mode, Horizontal mode, and DC mode, with specific bit configurations to encode and decode these modes efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution and quality images are used, then image quality is improved, but data transmission and storage costs increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the intra chroma prediction mode based on block characteristics (size, shape, frequency of occurrence). This optimization changes the encoding parameters to achieve better compression efficiency, thereby reducing data transmission and storage costs while maintaining high image quality.
2Productivity
If conventional encoding methods are used, then implementation is simple, but compression efficiency is insufficient for high resolution images
Solution Approach 1:
The patent implements local quality by selecting different intra chroma prediction modes based on local block characteristics such as size, shape, and frequency of occurrence. This localized approach optimizes compression efficiency for each block while maintaining manageable encoding complexity through systematic mode selection criteria.
Solution Approach 2:
The patent applies dynamics by making the intra chroma prediction mode adaptive rather than static. The encoding process dynamically selects the most appropriate mode (linear model, derived luma, Planar, Vertical, Horizontal, or DC) based on real-time block characteristics, thereby improving compression efficiency without excessive complexity.
3Measurement precision
If all intra prediction modes are considered, then prediction accuracy is improved, but encoding time increases
Solution Approach 1:
The patent applies partial action by considering only the most relevant intra prediction modes based on block characteristics rather than evaluating all possible modes. This selective approach maintains prediction accuracy for each block type while significantly reducing encoding time through optimized mode selection.
Data Source
AI summary
Disclosed herein is a method of decoding an image. The method includes acquiring intra chroma prediction information of a current block from a bitstream, deriving an intra chroma prediction mode of the current block based on the intra chroma prediction information, and performing intra prediction with respect to the current block based on the intra chroma prediction mode. The intra chroma prediction mode may be any one of a linear model (LM)) mode, a derived luma (DM) mode, a Planar mode, a Vertical mode, a Horizontal mode and a DC mode, and a first bit of the intra chroma prediction information may be used to determine whether the intra chroma prediction mode is an LM mode.