Video Prediction Refinement with Local Illumination Compensation for IBC
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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 further improvements in coding efficiency, particularly in intra block copy (IBC) processes.
Innovation Solution
Implementing a refinement process to derive a refined prediction sample for video units, enhancing the conversion between video units and bitstreams, and applying local illumination compensation (LIC) to improve coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional video coding technologies (MPEG-2, MPEG-4, AVC, HEVC) are used, then video compression is achieved, but coding efficiency is insufficient
Solution Approach 1:
The patent applies local illumination compensation by changing the parameters of the prediction sample through linear transformation (scaling factor alpha and offset beta). This transforms the prediction sample to better match the current block's illumination characteristics, thereby improving prediction accuracy and coding efficiency without requiring fundamentally new coding structures.
2Productivity
If prediction samples are refined using local illumination compensation, then coding efficiency is improved, but computational complexity increases
Solution Approach 1:
The patent applies local illumination compensation specifically to prediction samples in regions where illumination variation is detected, rather than uniformly processing all blocks. By selectively applying the refinement process based on local characteristics (comparing template blocks and determining whether LIC parameters should be applied), the patent improves coding efficiency for problematic regions while avoiding unnecessary computation in regions that don't require refinement.
3Measurement precision
If a refinement process is applied to prediction samples, then prediction accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies local illumination compensation selectively rather than universally. The refinement process is applied only to prediction samples where it is determined to be beneficial (based on template matching and LIC parameter application decisions), rather than applying the full refinement process to all prediction samples. This partial application reduces the overall processing time while still achieving improved prediction accuracy where needed.
Data Source
AI summary
Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: deriving, for a conversion between a video unit of a video and a bitstream of the video, a prediction sample of the video unit; deriving a refined prediction sample of the video unit by applying a refinement process to the prediction sample; and performing the conversion based on the refined prediction sample.


