Parallel Video Coding Architecture for Neighbor Dependency Management
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Solution Overview
Problem
Current video compression/decompression systems face challenges in achieving high visual quality with efficient compression and processing, particularly due to scalability limitations and tightly coupled neighbor dependencies, which often result in reduced decode video quality.
Innovation Solution
The implementation of parallel video coding techniques that break dependencies between largest coding units, allowing for parallel processing of partitioning and coding mode decisions across boundaries, reducing the number of dependent stages and improving performance with minimal quality impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If brute force neighbor dependency management such as wavefront splits is used to achieve scalability, then processing efficiency is improved, but decode video quality is reduced to unacceptable levels
Solution Approach 1:
The patent divides the video frame processing into independent wavefronts that can be processed in parallel. Each wavefront contains a set of coding tree units (CTUs) that are processed independently, breaking the tight coupling between neighboring blocks while maintaining acceptable quality through careful wavefront boundary management
Solution Approach 2:
The patent implements dynamic wavefront boundary adjustment based on content complexity and dependency analysis. The wavefront boundaries are not fixed but adapt to the actual data dependencies in the video content, allowing parallel processing while maintaining quality where dependencies exist
2Productivity
If parallel processing is implemented to improve encode speed, then productivity is improved, but neighbor dependencies create scalability limitations
Solution Approach 1:
The patent segments the video processing into independent wavefronts that can be executed in parallel across multiple processing units. This segmentation eliminates the scalability limitations of sequential processing while maintaining the necessary neighbor dependencies within each wavefront
Solution Approach 2:
The patent introduces a new dimension of parallelism by organizing processing into wavefronts that traverse the video frame in a diagonal pattern, allowing multiple wavefronts to be processed simultaneously in the spatial dimension while respecting temporal dependencies
3Productivity
If wavefront splits are used to achieve real time performance, then processing efficiency is improved, but subjective video quality is reduced
Solution Approach 1:
The patent applies different quality management strategies to different regions of the video frame based on local content characteristics. In regions with strong neighbor dependencies, the patent maintains stricter quality constraints, while in regions with weaker dependencies, it allows more aggressive parallel processing
Data Source
AI summary
Techniques related to parallel partitioning and coding mode selection for improved video coding throughput are discussed. Such techniques include performing parallel partitioning and coding mode selection for a lower-right coding unit of a first largest coding unit and an upper-left coding unit of a second largest coding unit to the right of the first largest coding unit and, immediately subsequent thereto, performing parallel partitioning and coding mode selection for a lower-left coding unit and an upper-right coding unit of the second largest coding unit.