Oblique Perceptual Video Coding for HDR Bit-Rate Reduction
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Solution Overview
Problem
High Dynamic Range (HDR) video compression faces challenges due to high contrast ratios and limited bandwidth, leading to inefficient encoding and increased computational resources, which affects visual quality and bit-rate allocation.
Innovation Solution
The proposed solution involves a video processing system that uses a Contrast Sensitivity Function (CSF) model to customize bit allocation based on human visual sensitivity, preprocessing video content to remove high spatial frequencies not perceivable by the human eye, and employing adaptive oblique perceptual coding to reduce bit-rate while maintaining visual quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If more bits are allocated to achieve high visual quality, then visual quality is improved, but transmission bandwidth consumption increases
Solution Approach 1:
The patent applies parameter changes by transforming the video content in the spatial frequency domain. Specifically, it converts spatial frequency information into oblique frequency components and applies different quantization parameters to different oblique frequency bands. This allows the encoder to allocate bits more efficiently by preserving visually important frequencies while compressing less important ones, thereby achieving high visual quality with reduced bandwidth consumption.
2Measurement precision
If video coding depth is increased to achieve desired user quality, then visual quality is improved, but computational complexity increases
Solution Approach 1:
The patent segments the frequency domain into different oblique frequency bands and processes each band separately with customized quantization parameters. This segmentation allows the encoder to focus computational resources on visually important regions while using coarser processing for less important regions, thereby reducing overall coding depth and computational complexity while maintaining visual quality.
3Ease of manufacture
If traditional video compression is used on high contrast content, then encoding simplicity is maintained, but encoding efficiency decreases
Solution Approach 1:
The patent transitions from traditional spatial domain processing to oblique frequency domain processing. By changing the dimension of processing from spatial to frequency domain and specifically using oblique frequency decomposition, the method achieves better encoding efficiency for high contrast content while maintaining reasonable encoding complexity through established transform techniques.
Data Source
AI summary
Systems, methods, and apparatuses are described for processing video. Video content comprising a plurality of frames may be received. A visual element of a first frame of the plurality of frames positioned in an oblique direction relative to one or more of a first axis and a second axis orthogonal to the first axis may be determined. One or more regions associated with the first frame and comprising the visual element may be determined. One or more encoded regions of the first frame may be generated based on partitioning the one or more regions comprising the visual element.