Video Encoding Rate-Distortion Optimization Sub-Block Coefficient Modification
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Solution Overview
Problem
Current video codecs face challenges in efficiently encoding and decoding high-resolution video content due to increased computational complexity and data handling, particularly in optimizing coefficient levels for rate-distortion trade-offs.
Innovation Solution
A video encoding method and apparatus that calculates and modifies coefficient levels using a normalized rate-distortion cost function, searching for a last significant coefficient by calculating difference values and modifying coefficients in sub-block units, to reduce computational complexity and enhance encoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If coefficient levels are optimized using traditional rate-distortion optimization methods, then encoding quality is improved, but computational complexity increases
Solution Approach 1:
The patent divides the block into sub-blocks and processes coefficient levels in a hierarchical manner. By segmenting the optimization process into smaller units (sub-blocks) and applying rate-distortion optimization selectively rather than uniformly across all coefficients, the method reduces overall computational complexity while maintaining encoding quality in critical regions.
Solution Approach 2:
The patent applies different processing strategies to different regions of the frequency domain coefficients. By identifying and prioritizing optimization for specific sub-blocks containing significant coefficients rather than uniformly processing all coefficients, the method achieves better rate-distortion performance with reduced computational effort focused on critical areas.
2Productivity
If detailed rate-distortion optimization is performed on all coefficient levels, then encoding efficiency is improved, but data handling complexity increases
Solution Approach 1:
The patent extracts and processes only the most significant coefficient levels that have the greatest impact on rate-distortion performance. By identifying and isolating critical coefficients for detailed optimization while applying simplified processing to less significant coefficients, the method improves encoding efficiency without proportionally increasing data handling complexity.
Solution Approach 2:
The patent segments the coefficient processing into different levels of detail based on significance. By dividing coefficients into groups that require different optimization intensities and processing them accordingly, the method achieves efficient encoding while managing data handling complexity through hierarchical processing stages.
Data Source
AI summary
Provided is a video encoding method including: calculating a difference value between a rate-distortion (R-D) cost of a first coefficient level from among coefficient levels of a sub-block and an R-D cost of a second coefficient level adjacent to the first coefficient level by using a distortion difference calculated by using an integer of the first coefficient level and an integer of the second coefficient level and a rate variation between the first coefficient level and the second coefficient level; selecting one of the integer values of the first and second coefficient levels as a modified value of the first coefficient level based on the difference value; and outputting the modified value of the first coefficient level.