Quantization Matrix Prediction for Video Encoding
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Solution Overview
Problem
Existing video compression standards, such as HEVC and VVC, face challenges in efficiently encoding and decoding video data due to the complexity of quantization matrices and the high bit cost associated with transmitting custom matrices.
Innovation Solution
The proposed solution involves a method and apparatus for improving video compression efficiency by predicting and encoding quantization matrices using a combination of prediction and residual techniques, allowing for flexible adjustments with reduced bit cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If custom quantization matrices are transmitted to achieve high compression efficiency, then compression performance is improved, but bit cost increases
Solution Approach 1:
The patent applies preliminary action by predicting the quantization matrix before transmission. The decoder generates a predicted quantization matrix using reference quantization matrices and prediction rules, so that the actual transmitted data only needs to encode the difference (residual) between the predicted and actual matrices. This pre-computation of the prediction at the decoder side reduces the amount of data that needs to be transmitted in the bitstream.
Solution Approach 2:
The patent changes the parameter representation by encoding the quantization matrix difference (residual) rather than the full matrix. The syntax element in the bitstream indicates whether to interpret data as a full matrix or as a residual to be added to a predicted matrix. This parameter change allows flexible trade-offs between accuracy and bit cost by selectively applying residual encoding only when necessary.
2Measurement precision
If complex quantization matrix encoding is used to improve accuracy, then decoding precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the quantization matrix encoding into two parts: a predicted quantization matrix (generated using reference matrices and prediction rules) and a residual (the difference between predicted and actual matrices). The syntax element segments the bitstream to indicate which part to use. This segmentation allows the system to achieve high decoding precision by using the residual correction while keeping encoding complexity low by only transmitting the small residual differences rather than full matrix data.
3Productivity
If residual encoding is applied to reduce bit cost, then transmission efficiency is improved, but specification complexity increases
Solution Approach 1:
The patent applies universality by designing a syntax element that can serve multiple functions: it can indicate whether to interpret the following data as a full quantization matrix or as a residual to be added to a predicted matrix. This single syntax element provides multi-functionality, allowing the system to switch between full matrix transmission and residual-based transmission modes. This universal approach improves transmission efficiency by enabling residual encoding while keeping the specification relatively simple through the use of a single control flag rather than separate complex mechanisms.
Data Source
AI summary
Decoding and/or encoding video information included in a bitstream can involve a predicted quantization matrix associated with at least a portion of the video information and a syntax element indicating that at least one coefficient of the predicted quantization matrix is to be interpreted as a residual such that the decoding and/or encoding of at least a portion of the video information is based on a combination of the predicted quantization matrix and the residual, where the syntax element is obtained from the bitstream during decoding, or included in the bitstream during encoding.