Video Residual and Coefficient Coding with Simplified Rice Parameters
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Solution Overview
Problem
Existing video coding technologies face challenges in achieving optimal coding efficiency, particularly in residual and coefficient coding, which affects bit rate and video quality.
Innovation Solution
The proposed methods involve using fixed or variable sets of binary codewords for coding syntax elements like abs_remainder and dec_abs_level, simplifying the rice parameter derivation process, and harmonizing level mapping for transform skip and regular transform modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex rice parameter derivation processes are used for residual and coefficient coding, then coding precision may be improved, but computational complexity increases
Solution Approach 1:
The patent applies parameter changes by using fixed rice parameters (e.g., parameter 0 or 1) instead of dynamically derived parameters. This simplifies the coding process by eliminating complex derivation calculations while maintaining adaptive coding through selective application of different fixed parameters based on coding conditions such as transform type or block size.
2Adaptability or versatility
If multiple different coding methods are used for transform skip and regular transform modes, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements universality by using the same simplified rice parameter derivation process for both transform skip mode and regular transform mode. This unified approach reduces complexity while maintaining adaptability through the selective use of fixed parameters based on the specific coding context, allowing one coding framework to serve multiple transform modes effectively.
3Productivity
If simplified rice parameter derivation is used, then computational complexity is reduced, but coding efficiency may deteriorate
Solution Approach 1:
The patent resolves this contradiction by using fixed rice parameters that are optimized for different coding scenarios. Instead of complex dynamic derivation, the system selects appropriate fixed parameters (0 or 1) based on coding conditions, achieving both computational simplicity and coding efficiency through pre-optimized parameter selection.
Data Source
AI summary
Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding. The method for video coding includes: receiving, by a decoder, a residual coding rice constraint flag to provide general constraint controls for at least one of other flags; and in response to determining that a value of the residual coding rice constraint flag equals to 1, determining that a value of the at least one of other flags equals to 0.