Skip Detection in Video Encoding Pipeline
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for detecting skipped blocks during encoding are inefficient due to performance and cost constraints, leading to missed identifications of blocks that should be skipped.
Innovation Solution
A method and apparatus within a video encoding pipeline that receives control information for prediction units, analyzes transform units to make skip decisions, and updates skip decisions accurately, using a buffer memory and processor to determine whether prediction units are skipped during encoding, thereby improving skip detection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing skip detection techniques are used, then encoding can proceed, but skip detection accuracy deteriorates due to performance and cost constraints
Solution Approach 1:
The patent performs preliminary actions by checking for zero coefficients in transform units before finalizing skip decisions for prediction units. This early detection mechanism allows the system to identify skipped blocks in advance, improving accuracy without significantly impacting overall encoding throughput.
Solution Approach 2:
The patent segments the skip detection process into two levels: prediction unit level and transform unit level. By analyzing transform units individually within each prediction unit, the system can make more accurate skip decisions while maintaining encoding efficiency through targeted analysis rather than exhaustive checking.
2Measurement precision
If more thorough skip analysis is performed, then skip detection accuracy improves, but processing time and computational cost increase
Solution Approach 1:
The patent extracts and analyzes only the coefficient data from transform units that are likely to be skipped, rather than processing all data uniformly. This selective extraction approach improves measurement precision for skip detection while reducing overall processing time by focusing computational resources only where necessary.
Solution Approach 2:
The patent applies partial action by performing skip analysis only on transform units that meet certain criteria (e.g., having zero coefficients), rather than exhaustively analyzing all transform units. This partial approach achieves sufficient accuracy for encoding purposes while significantly reducing processing time and computational overhead.
Data Source
AI summary
Techniques for detecting skipped prediction units in an encoder are disclosed. Control information associated with a prediction unit of a video frame is received at a node of a video encoding pipeline used to compress the video frame. A skip decision for the prediction unit is made by analyzing transform units comprising the prediction unit. The skip decision indicates whether or not the prediction unit comprises a skipped prediction unit during encoding. The skip decision for the prediction unit is provided to a downstream node of the video encoding pipeline.