Block-Level Rate Distortion Optimized Quantization for Video Coding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Rate Distortion Optimized Quantization (RDOQ) in video coding systems often results in significant performance drops, especially for intra blocks, due to feedback loops and processing overhead, which can lead to inefficient use of resources and reduced coding efficiency when applied at the frame level without granular control.
Innovation Solution
Implementing fine-grained control to enable or disable RDOQ processing on a block-by-block basis, using an accumulated intra block counting mechanism to determine when to apply RDOQ, thereby optimizing coding efficiency and performance trade-offs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If Rate Distortion Optimized Quantization (RDOQ) is applied at the frame level, then coding efficiency is improved, but processing overhead and performance drop significantly
Solution Approach 1:
The patent divides the frame-level RDOQ processing into block-level operations. Instead of applying RDOQ to the entire frame, the system processes each block independently, allowing parallel processing and reducing the sequential processing overhead. This segmentation enables the system to maintain coding efficiency benefits while significantly improving processing speed by avoiding the feedback loop bottleneck at the frame level.
Solution Approach 2:
The patent introduces dynamic control of RDOQ application through a feedback mechanism that monitors buffer status and adjusts RDOQ application in real-time. The system can dynamically enable or disable RDOQ for different blocks based on current encoding state, allowing optimal balance between coding efficiency and processing speed to be achieved adaptively during the encoding process.
2Manufacturing precision
If RDOQ is applied to all intra blocks, then coding efficiency is improved, but processing complexity and latency increase
Solution Approach 1:
The patent applies RDOQ selectively to specific blocks rather than uniformly to all intra blocks. The system evaluates each block's characteristics and encoding context to determine whether RDOQ should be applied, allowing different parts of the video data to receive different processing treatments. This local quality approach reduces overall processing complexity while maintaining coding efficiency in the blocks that benefit most from RDOQ.
Solution Approach 2:
The patent implements partial application of RDOQ by applying it only to certain blocks based on accumulated intra block counting and buffer status, rather than applying it excessively to all blocks. This partial action approach reduces processing complexity and latency while still achieving sufficient coding efficiency improvement through selective application to the most beneficial blocks.
3Loss of energy
If a constant minimum QP is used to cap QP generated by rate control, then bit waste is reduced, but coding flexibility is limited
Solution Approach 1:
The patent replaces the static constant minimum QP capping approach with a dynamic QP adjustment mechanism. The system monitors buffer status, block characteristics, and encoding progress to dynamically adjust QP values in real-time. This dynamic approach reduces bit waste by preventing excessive QP values while maintaining coding flexibility by adapting QP to the specific needs of each block and encoding context, rather than applying a rigid global cap.
Data Source
AI summary
Systems, apparatus and methods are described including operations for video coding rate control including Rate Distortion Optimized Quantization on a block-by-block basis.