Local Illumination Compensation Parameter Tables for Video Quality
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently processing and compressing digital video due to increasing bandwidth demands and the need for improved quality of decompressed images.
Innovation Solution
The proposed techniques involve determining local illumination compensation (LIC) parameters, including scaling and offset factors, for video units and updating history-based local illumination compensation parameter tables (HLICTs) to enhance video processing and compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If local illumination compensation parameters are determined and history-based local illumination compensation parameter tables are updated for each video unit, then the quality of decompressed video is improved, but the device complexity and processing overhead increase
Solution Approach 1:
The patent performs preliminary actions by determining LIC parameters and updating HLICT tables in advance during the encoding/decoding process. The HLICT tables are maintained and updated proactively so that subsequent video units can benefit from accumulated illumination compensation knowledge without recalculating parameters from scratch each time, thus improving quality while managing complexity through preparatory work.
Solution Approach 2:
The patent uses copying by maintaining history-based LIC parameter tables that store previously determined compensation parameters. These stored parameters are copied and reused for subsequent video units with similar illumination characteristics, avoiding redundant calculations and reducing processing overhead while maintaining improved video quality.
2Measurement precision
If illumination compensation processing is performed on video units, then the quality of decompressed video is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs self-service by automatically maintaining and updating the HLICT tables during normal video processing operations. The illumination compensation parameters are determined and stored without requiring external intervention or additional processing steps, allowing the system to serve itself by accumulating knowledge from previous video units and applying it to subsequent ones, thereby improving quality without proportionally increasing processing time.
Data Source
AI summary
A method for processing a video includes determining, for a first video unit, a set of local illumination compensation (LIC) parameters including a scaling factor and an offset factor; performing or skipping a pre-process on at least one parameter of the set of LIC parameters; and updating at least one history based local illumination compensation parameter table (HLICT) using at least one parameter of the set of LIC parameters, the at least one HLICT being used for a conversion of subsequent video units.