Weighted Prediction Signaling for Reference List Compression
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently compressing video data while maintaining high quality, particularly in scenarios with limited bandwidth, where tools like weighted prediction are not optimally utilized for handling illumination changes.
Innovation Solution
The proposed method involves reordering syntax elements to include high-level syntax weighted prediction parameters and restricting binarization of the reference picture list structure, allowing for efficient encoding and decoding by joint signaling of these parameters with the reference picture list.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If weighted prediction parameters are coded separately from reference picture list structure, then decoding can proceed in standard order, but the amount of coded data increases and compression efficiency decreases
Solution Approach 1:
The patent merges the coding of weighted prediction parameters with the reference picture list structure by reordering syntax elements. The weighted prediction parameters are coded immediately after the reference picture list structure rather than separately, allowing the decoder to use the reference picture list information to efficiently decode the weighted prediction parameters without increasing overall data volume.
2Ease of operation
If binarization is applied to reference picture list structure, then coding flexibility is maintained, but the complexity of encoding and decoding increases
Solution Approach 1:
The patent applies local quality by selectively applying binarization restrictions only to specific syntax elements within the reference picture list structure based on the value of weighted prediction parameters. When weighted prediction is enabled, certain reference picture list syntax elements have their binarization restricted, while other elements maintain standard binarization, thus balancing flexibility and complexity.
3Measurement precision
If weighted prediction parameters are coded before reference picture list structure, then parameter values can be optimized, but the decoding order becomes complex and error-prone
Solution Approach 1:
The patent applies preliminary action by first coding the reference picture list structure and establishing the reference picture list, then using this established structure to guide the subsequent coding of weighted prediction parameters. This ensures that when weighted prediction parameters are coded, the decoder already has the necessary reference picture list information to correctly interpret and use these parameters, avoiding complex decoding order issues.
Data Source
AI summary
The present disclosure provides an encoding method, wherein the method comprises: determining syntax elements to be coded, wherein the syntax elements include a reference picture list structure and at least one high-level syntax (HLS) weighted prediction parameters; coding the at least one HLS weighted prediction parameters; and after coding the at least one HLS weighted prediction parameters, coding the reference picture list structure. The syntax elements are reordered such that coding the reference picture list structure can be based on values of the at least one HLS weighted prediction parameters.