Video Encoder Wave Front Group Generation for Parallel Processing
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Solution Overview
Problem
Existing digital video systems face challenges in efficiently processing and transmitting massive amounts of video data due to the large storage requirements and bandwidth consumption, necessitating effective video compression techniques.
Innovation Solution
The proposed solution involves encoding video frames using standards like ITU-T/ISO H.264, HEVC, and VP9, dividing frames into macroblocks, and processing them in parallel wave front groups to reduce processing cycles and increase efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video frames are processed using traditional sequential encoding methods, then processing accuracy is maintained, but processing time and computational complexity increase significantly
Solution Approach 1:
The video frame is divided into multiple independent regions, and each region is further segmented into macroblocks that can be processed independently. This segmentation allows parallel processing of different regions simultaneously, dramatically increasing processing throughput while maintaining encoding accuracy through consistent application of the same encoding standards (H.264, HEVC, or VP9) to each segment.
Solution Approach 2:
The patent introduces wave front groups as an additional organizational dimension beyond simple spatial segmentation. Macroblocks are assigned to different wave front groups based on their processing dependencies and spatial location, creating a multi-dimensional processing structure that enables efficient parallel execution while managing computational complexity through structured organization of processing tasks.
2Quantity of substance
If video data is compressed using advanced encoding standards, then storage requirements and bandwidth consumption are reduced, but processing complexity increases
Solution Approach 1:
By dividing the video frame into multiple regions and processing each region independently using standardized encoding algorithms, the system achieves efficient compression ratios comparable to sequential processing. The segmentation allows for parallel execution of compression operations, reducing overall processing time while maintaining the high compression efficiency required for reducing storage and bandwidth requirements.
Solution Approach 2:
The patent employs multiple video encoding standards (H.264, HEVC, VP9) that offer different compression parameters and settings. By selecting and applying appropriate encoding parameters for different regions or scenarios, the system optimizes the balance between compression ratio and processing complexity, achieving significant data volume reduction while managing computational demands through parameter optimization rather than uniformly complex processing.
Data Source
AI summary
Various embodiments are generally directed to an apparatus, method and other techniques for dividing a frame comprising pixels into a number of macroblocks, each macroblock comprising a number of pixels within four macroblock boundaries. Various embodiments may also include creating at least two regions having a plurality of macroblocks by dividing the frame along macroblock boundaries and generating wave front groups based on the macroblocks in each region, each wave front group from each region comprising one or more macroblocks to process in parallel.