Video Encoder Dead Zone Coefficient Adjustment
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Solution Overview
Problem
Standard video encoding methodologies, such as H.264 and MPEG, have a limited quantization parameter (QP) range, which restricts the achievable bit reduction, even when further quality reduction is acceptable.
Innovation Solution
The introduction of 'dead zones' in video encoders allows for the adjustment of coefficients by setting them to zero, effectively extending the quantization parameter range, thereby allowing more bits to be allocated to other coefficients, mimicking a larger QP range without increasing the quantization loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a maximum QP value is provided in encoding standards, then the QP range is limited, but the bit reduction capability is restricted even when quality loss is acceptable
Solution Approach 1:
The patent changes the parameter interpretation by introducing dead zones that effectively extend the QP range. By setting coefficients to zero when they fall within a dead zone threshold, the system achieves finer control over quantization beyond the standard QP maximum, enabling greater bit reduction while maintaining quality flexibility.
Solution Approach 2:
The dead zone acts as an intermediary mechanism between the standard QP parameter and the actual quantization process. It provides an additional layer of control that mediates between the limited QP range and the desire for extended bit reduction capability, allowing effective QP extension without changing the standard parameter interface.
2Ease of operation
If coefficients are set to zero using dead zones, then bit allocation flexibility is improved, but the quantization parameter range must be extended beyond standards
Solution Approach 1:
The system uses the standard QP parameter and dead zone threshold to automatically determine which coefficients to zero out. The process is self-service in that it leverages existing parameters (QP and predefined thresholds) to achieve extended functionality without requiring external intervention or complex additional control mechanisms.
Solution Approach 2:
The dead zone thresholds are pre-established based on standard QP values. By preparing these thresholds in advance, the system can immediately apply coefficient zeroing when processing video data, avoiding the need for real-time calculation of extended QP ranges and reducing operational complexity.
Data Source
AI summary
Apparatuses and methods for adjusting coefficients for use in video encoding are described. An example apparatus may include an encoder that may be configured to receive transform coefficients and adjust selected ones of the transform coefficients (e.g. reset the selected ones to zero) based on a comparison with a threshold. The adjusted coefficients may then be quantized, which may result in effectively increasing a QP range of the encoder.


