Cross-Component Chroma Coding Using Luma-Based Offset Classification
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently encoding and decoding high-definition and ultra-high-definition video data while maintaining image quality, particularly in optimizing chroma coding efficiency.
Innovation Solution
The method involves utilizing cross-component correlation by receiving a video signal with luma and chroma components, applying characteristic measurements to classify and select offsets for chroma components, and modifying them based on these classifications to enhance coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If chroma coding methods are used independently without cross-component correlation, then device complexity is reduced, but coding efficiency and bit-rate savings are worsened
Solution Approach 1:
The patent merges luma and chroma component processing by applying cross-component adaptive offsets. The luma component's offset values are combined with chroma component processing to generate improved chroma offset values, creating a unified approach that leverages the relationship between luminance and chrominance data to enhance overall coding efficiency.
Solution Approach 2:
The patent introduces an intermediary mechanism where luma offset values serve as mediators to derive chroma offset values. This intermediary approach allows the system to leverage the typically higher quality luma data to improve chroma coding without requiring independent complex chroma analysis, thus balancing complexity and efficiency.
2Loss of energy
If cross-component correlation is utilized to improve chroma coding efficiency, then bit-rate savings are improved, but device complexity increases
Solution Approach 1:
The patent applies parameter changes by deriving new offset values for the chroma component based on the luma component's offset values. This parameter transformation approach allows the system to improve bit-rate efficiency by adapting chroma coding parameters to the actual content characteristics revealed in the luma data, achieving better compression without requiring complete redesign of the coding architecture.
Data Source
AI summary
An electronic apparatus performs a method of decoding video data. The method includes: receiving the video signal that includes a first component and a second component; receiving a plurality of offsets associated with the second component; utilizing a characteristic measurement of the first component to obtain a classification category associated with the second component; selecting an offset from the plurality of offsets for the second component according to the classification category; and modifying the second component based on the selected offset. The first component can be a luma video component and the second component can be a chroma video component.