Video Block LBCCP Prediction for Higher Coding Efficiency
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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 digital video processing.
Innovation Solution
Implementing a local-boosting cross-component prediction (LBCCP) filter for video blocks, where the usage is determined based on template cost or a previously coded block, enhancing implicit determination of information for improved coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If explicit signaling of LBCCP usage is implemented, then prediction accuracy is improved, but bitstream complexity and processing overhead increase
Solution Approach 1:
The system uses template cost information and previously coded block data to implicitly determine LBCCP usage, allowing the encoder/decoder to autonomously decide without requiring explicit signaling. This self-determination mechanism reduces bitstream complexity while maintaining prediction accuracy through implicit inference from available data.
Solution Approach 2:
The method leverages feedback from template cost calculations and previously coded block information to dynamically determine LBCCP usage. By using the cost information and historical data as feedback signals, the system adapts its prediction strategy without requiring additional explicit signaling in the bitstream.
2Productivity
If LBCCP filter is applied to all video blocks, then coding efficiency is improved, but processing time and computational complexity increase
Solution Approach 1:
The system applies LBCCP filter selectively based on local characteristics of each video block, such as template cost and block history, rather than uniformly applying it to all blocks. This localized application strategy ensures that computational resources are allocated only where needed to maximize coding efficiency while minimizing overall processing time.
Solution Approach 2:
The method dynamically adjusts the application of LBCCP filter based on real-time analysis of template cost and previously coded block data. This dynamic decision-making allows the system to adapt the filter application to current video content characteristics, optimizing the balance between coding efficiency and processing time for each specific block.
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: obtaining, for a conversion between a current video block of a video and a bitstream of the video, information regarding usage of a local-boosting cross-component prediction (LBCCP) filter for the current video block, the information being determined based on template cost or a further video block of the video that is coded before the current video block; and performing the conversion based on the information.


