CCSO Frame Flags for Cross-Component Video Error Reduction
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Solution Overview
Problem
Existing video coding technologies struggle to effectively reduce reconstruction errors in video data while maintaining high compression efficiency, particularly in lossy compression scenarios where cross-component filtering is not adequately controlled.
Innovation Solution
Implementing a cross-component sample offset (CCSO) filter that uses co-located reconstructed samples and neighboring samples from a first color component to derive sample offsets for a second color component, with control flags at both frame and component levels to adjust filtering parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If cross-component offset filtering is applied to reduce reconstruction errors, then video reconstruction quality is improved, but bit rate increases due to additional filter parameters
Solution Approach 1:
The patent applies cross-component offset filtering selectively rather than uniformly across all video data. Frame-level flags and component-level flags enable the filter to be applied only to specific frames and specific color components (luma, Cb, Cr) where it provides benefit, avoiding unnecessary processing overhead in regions where filtering is not needed.
Solution Approach 2:
The filtering parameters are made dynamic through multiple control flags that allow adaptation to different video content characteristics. The frame-level CCSO flag enables/disables filtering on a per-frame basis, while component-level CCSO flags allow different filtering behavior for different color components, optimizing the balance between quality and bit rate for each specific case.
2Measurement precision
If multiple filter control flags are implemented for precise filtering control, then filtering precision is improved, but device complexity increases
Solution Approach 1:
The control structure is segmented into multiple hierarchical levels: a frame-level CCSO flag that controls filtering for the entire frame, and component-level CCSO flags that control filtering for specific color components. This segmentation allows precise control where needed while maintaining simplicity through default behaviors when flags are not set.
Solution Approach 2:
The multiple flags serve multiple functions: the frame-level flag provides coarse-grained control for overall frame filtering, while component-level flags provide fine-grained control for specific color components. This multi-functionality allows a single filtering mechanism to adapt to various video content types and quality requirements without requiring entirely separate control systems.
Data Source
AI summary
An example method of video encoding includes receiving video data comprising a current image frame. The method also includes encoding the current image frame, and transmitting the encoded current image frame via a video bitstream. The method further includes signaling, via the video bitstream, a frame-level syntax element for a cross-component sample offset (CCSO) flag indicating whether to apply cross-component offset filtering on the current image frame. A first syntax element is signaled in the video bitstream for a first component CCSO flag indicating whether to apply cross-component offset filtering on a first color component of the current image frame when the CCSO flag indicates that cross-component offset filtering is applied on the current image frame.