Transform Coefficient Dequantization With Adaptive Offset Control
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Solution Overview
Problem
Existing video coding technologies face inefficiencies in quantization techniques, leading to suboptimal compression and quality trade-offs in digital video transmission and storage.
Innovation Solution
Implementing methods for video encoding and decoding that utilize dequantization offsets based on parameters like transition states and quantization parameters to improve quantization efficiency, allowing for more accurate reconstruction of transform coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional quantization techniques are used in video coding, then compression is achieved, but coding efficiency is suboptimal and video quality degrades
Solution Approach 1:
The patent applies dynamics by making the dequantization offset adaptive rather than fixed. The offset is dynamically determined based on the quantization parameter (QP) and/or transition state, allowing the system to adjust to different coding conditions and optimize the balance between compression efficiency and video quality reconstruction accuracy
Solution Approach 2:
The patent changes the parameter of dequantization offset based on QP and transition state. By varying this parameter according to different quantization levels and transition conditions, the system achieves better coding efficiency while maintaining video quality, resolving the contradiction between compression and quality preservation
2Productivity
If dequantization offset is applied based on transition state and QP, then coding efficiency improves, but device complexity increases
Solution Approach 1:
The system uses parameter changes by deriving the dequantization offset from existing QP and transition state parameters that are already part of the video coding standard. This approach improves coding efficiency without significantly increasing complexity, as it builds upon existing parameter structures rather than introducing entirely new complex mechanisms
Data Source
AI summary
Methods for video decoding and encoding, and apparatuses are provided. In one video decoding method, a decoder may obtain a dequantization offset according to at least one of the following parameters: a transition state, a quantization parameter (QP), or a segment of magnitude of an original quantization index. Further, the decoder may obtain a quantization index based on the dequantization offset and the original quantization index. Moreover, the decoder may obtain a dequantized transform coefficient based on the quantization index.