Cross-Component Prediction Using Adaptive CTU Reference Samples
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Solution Overview
Problem
Existing video coding technologies, such as MPEG-2, MPEG-4, ITU-T.263, ITU-T.264/MPEG-4 AVC, and ITU-T.265 HEVC, require improvements in coding efficiency for video encoding/decoding.
Innovation Solution
Implementing cross-component prediction (CCP) methods in video processing that determine reference samples based on the position, shape, and size of video blocks and coding tree units (CTUs) to enhance video block prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video coding technologies are used, then implementation is simple, but coding efficiency is insufficient
Solution Approach 1:
The patent applies local quality by making the reference sample selection process adaptive to local characteristics of video blocks. Different reference samples are selected based on the position, shape, and size of each video block, allowing the prediction method to be optimized locally for each block rather than using a uniform approach throughout the video stream.
Solution Approach 2:
The patent implements dynamics by making the reference sample selection dynamic rather than static. The selection of reference samples changes based on the characteristics of each video block (position, shape, size), allowing the system to adapt to varying content requirements and improve coding efficiency across different video scenarios.
2Measurement precision
If reference samples are selected based on block characteristics, then prediction accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies parameter changes by using different selection criteria (position, shape, size parameters) to determine reference samples based on the characteristics of each video block. This allows the system to adapt the reference sample selection to match the specific parameters of each block, improving prediction accuracy while maintaining a systematic approach to complexity management.
Data Source
AI summary
Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. In the method, for a conversion between a current video unit of a video and a bitstream of the video, at least one reference sample used by a cross-component prediction (CCP) for the current video block is determined based on at least one of: a position of the current video block, a shape of the current video block, a size of the current video block, a position of a current coding tree unit (CTU), a shape of the current CTU or a size of the current CTU. The CCP of the current video block is determined based on the at least one reference sample. The conversion is performed based on the CCP.