Residual Coefficient Coding With Parity Flags for Video Decoding
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Solution Overview
Problem
Existing video compression technologies, such as HEVC, face limitations in efficiently encoding and decoding residual coefficients due to increasing data demands in high-definition video services.
Innovation Solution
A method and apparatus for encoding and decoding video signals by using flags to compare residual coefficients to threshold values and determine if they are even or odd numbers, allowing efficient encoding and decoding through bit-shifting and adjusted remnant coefficient comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional video compression standards (HEVC) are used, then compression performance is improved compared to H.264/AVC, but the data amount still increases significantly with high-definition video services
Solution Approach 1:
The patent segments the residual coefficient encoding process into multiple stages: first encoding the sign bit separately, then encoding the absolute value through binary representation. This segmentation allows for more efficient compression by treating different parts of the coefficient independently, reducing the overall data amount while maintaining compression performance.
Solution Approach 2:
The patent transforms the traditional magnitude-based encoding into a two-dimensional representation using sign bit and absolute value components. This dimensional change enables more compact encoding by leveraging the binary nature of sign information and the structured representation of absolute values, thereby reducing data amount while preserving compression efficiency.
2Measurement precision
If residual coefficients are encoded with high precision, then decoding accuracy is improved, but encoding complexity and data amount increase
Solution Approach 1:
The encoding process is segmented into sign bit extraction and absolute value encoding. This segmentation simplifies the overall encoding complexity by breaking down the complex task of representing signed integers into two straightforward steps, while still maintaining full decoding accuracy through lossless representation.
Solution Approach 2:
The patent uses binary representation to create a compact copy of the absolute value information. Instead of storing the full precision value in traditional formats, it encodes the absolute value in binary form, which reduces encoding complexity while preserving the exact original value for accurate decoding.
3Reliability
If more detailed residual coefficient information is transmitted, then video quality is improved, but transmission data amount increases
Solution Approach 1:
The patent changes the parameter representation from traditional magnitude-based encoding to a composite representation using sign bit and binary absolute value. This parameter change maintains video quality by preserving all original coefficient information while reducing transmission data amount through more efficient encoding of the same information.
Solution Approach 2:
By introducing the sign bit as a separate dimension and representing absolute values in binary form, the patent achieves a more compact transmission format. This dimensional reorganization preserves complete coefficient information for high video quality while reducing the overall data amount required for transmission.
Data Source
AI summary
An image decoding method is provided, which includes: generating a merge candidate list of a current block; specifying any one of a plurality of merge candidates included in the merge candidate list; on the basis of a first affine seed vector and a second affine seed vector of the specified merge candidate, inducing a first affine seed vector and a second affine seed vector of the current block; using the first affine seed vector and the second affine seed vector of the current block, inducing an affine vector regarding a sub-block in the current block; and on the basis of the affine vector, performing motion compensation prediction regarding the sub-block.