Residual Coefficient Coding With Adaptive Rice Parameters
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Solution Overview
Problem
Existing video coding techniques face challenges in efficiently compressing video data while maintaining video quality, particularly in handling residual and coefficient coding processes.
Innovation Solution
The method involves using Golomb-Rice coding with bypass-coded bins for abs_remainder and dec_abs_level parameters, and enabling SPS rice adaptation through general constraint information to optimize video decoding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional video coding techniques are used, then video data compression is achieved, but bit rate reduction efficiency is insufficient and video quality degradation occurs
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the Golomb-Rice coding parameter k based on the statistical characteristics of residual data. The decoder receives a rice parameter indication from the bitstream and uses this adaptive parameter to optimize the coding efficiency for different video content types, thereby improving bit rate reduction while maintaining video quality.
Solution Approach 2:
The patent implements dynamics by enabling the rice parameter to vary across different transform units and coding contexts. The SPS rice adaptation enabled flag and GCI rice adaptation enabled flag allow the system to dynamically switch between different rice parameter derivation modes, adapting to local video characteristics rather than using a fixed parameter throughout the entire video stream.
2Manufacturing precision
If complex residual and coefficient coding processes are used, then video quality is maintained, but decoding complexity increases
Solution Approach 1:
The patent uses feedback by having the encoder determine the optimal rice parameter based on residual data statistics and signal this parameter in the bitstream. The decoder receives this feedback through the rice parameter indication and uses it to simplify its decoding process, avoiding the need to perform complex statistical analysis while maintaining high video quality reconstruction.
Solution Approach 2:
The patent applies preliminary action by pre-calculating and signaling the rice parameter in the bitstream before the actual decoding of residual coefficients. This allows the decoder to prepare the appropriate decoding context in advance, reducing computational complexity during the critical decoding phase while preserving video quality.
3Productivity
If fixed rice parameter coding is used, then decoding simplicity is maintained, but coding efficiency for different video content types is insufficient
Solution Approach 1:
The patent achieves universality by designing a multi-functional rice parameter adaptation mechanism that can handle different video content types through a unified framework. The same SPS and GCI flags and parameter indication mechanisms work across various video scenarios (different resolutions, frame rates, content types), providing both improved coding efficiency and broad applicability without requiring separate mechanisms for each case.
Data Source
AI summary
Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video decoding. In one method, a decoder receives a Sequence Parameter Set (SPS) rice adaption enabled flag that indicates whether rice parameter derivation for binarization of abs_remainder and dec_abs_level is initialized at start of each transform unit (TU) with statistics accumulated from previous TUs, and a general constraint information (GCI) rice adaptation enabled flag, in GCI syntax to provide general control of the SPS rice adaptation enabled flag. The abs_remainder is coded with Golomb-rice code and bypass-coded bins in a second pass when remaining number of context-coded bins is greater than or equal to 4 while coding in a first pass, and the dec_abs_level is directly coded in the second pass using the Golomb-Rice code and the bypass-coded bins when remaining number of context-coded bins is less than 4 while coding in the first pass.