3D LUT Parameter Optimization for Video Color Mapping
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Solution Overview
Problem
Current video decoding technologies face challenges in efficiently handling 3-dimensional look-up table parameters for video encoding and decoding, particularly in heterogeneous environments with devices of varying capabilities, leading to suboptimal video quality and increased bandwidth usage.
Innovation Solution
The proposed solution involves decoding and encoding 3-dimensional look-up table parameters by receiving delta values and prediction residual values for color components, assembling prediction residual values, and determining optimal 3D LUT sizes based on rate distortion optimization methods to minimize signaling overhead and distortion, using techniques such as hierarchical B prediction structures and weighted distortion calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D LUT parameters are transmitted with high precision for all devices, then video quality is improved, but bandwidth consumption increases
Solution Approach 1:
The patent applies local quality by transmitting full-precision 3D LUT parameters only for reference devices while using simplified parameter representations for non-reference devices. This allows each device type to receive appropriately tailored parameter precision based on its specific capabilities, optimizing the balance between video quality and bandwidth consumption for different device segments.
Solution Approach 2:
The patent changes parameters by transmitting different precision levels of 3D LUT parameters depending on device characteristics. Reference devices receive complete parameter sets while non-reference devices receive selectively transmitted or simplified parameter sets, allowing the system to adapt parameter transmission quality to device capabilities and reduce overall bandwidth requirements.
2Measurement precision
If 3D LUT parameters are optimized for reference devices, then video quality for reference devices is improved, but compatibility with non-reference devices deteriorates
Solution Approach 1:
The patent achieves universality by creating a dual-mode parameter transmission system that can serve both reference and non-reference devices through the same infrastructure. The system transmits parameter sets that are universally applicable across device types, with reference devices utilizing full precision and non-reference devices applying appropriate simplifications or mappings, thus maintaining broad compatibility while optimizing for reference devices.
Solution Approach 2:
The patent segments the device population into reference devices and non-reference devices, allowing differentiated parameter optimization strategies for each segment. This segmentation enables the system to maintain high video quality for reference devices through complete parameter transmission while simultaneously supporting non-reference devices through simplified parameter sets, resolving the compatibility conflict.
3Loss of energy
If simplified parameter transmission is used for non-reference devices, then bandwidth consumption is reduced, but video quality for non-reference devices deteriorates
Solution Approach 1:
The patent applies partial action by transmitting only the necessary subset of 3D LUT parameters for non-reference devices rather than complete parameter sets. This selective transmission reduces bandwidth consumption while maintaining acceptable video quality for non-reference devices by providing just enough parameter information to achieve functional color mapping without the full precision required by reference devices.
4Measurement precision
If device-specific parameter optimization is implemented, then video quality for each device type is improved, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining reference device profiles and their corresponding optimized 3D LUT parameter sets before actual video transmission. This preliminary configuration allows the system to efficiently match devices to appropriate parameter sets during operation without requiring complex real-time optimization, thereby reducing system complexity while maintaining device-specific quality optimization.
Data Source
AI summary
Systems, methods, and devices are disclosed for performing adaptive color space conversion and adaptive entropy encoding of LUT parameters. A video bitstream may be received and a first flag may be determined based on the video bitstream. The residual may be converted from a first color space to a second color space in response to the first flag. The residual may be coded in two parts separated by the most significant bits and least significant bits of the residual. The residual may be further coded based on its absolute value.