Real-time Video Editing System with Parallel Decoding and Rendering
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Solution Overview
Problem
Conventional editing devices face difficulties in editing ultra-high-resolution videos in real-time due to insufficient CPU throughput.
Innovation Solution
A real-time editing system is configured with multiple decoders for decoding and renderers for rendering, along with a controller that determines processing systems for frame images, creating rendering jobs to distribute processing across multiple units, employing processing, time, and space division to enhance throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single CPU processes ultra-high-resolution video frames, then the processing complexity is low, but the throughput is insufficient for real-time editing
Solution Approach 1:
The video processing system is segmented into multiple independent processing units (decoders and renderers) that operate in parallel. Each processing unit handles specific frame images of the ultra-high-resolution video, dividing the overall processing task into manageable segments that can be executed simultaneously, thereby increasing throughput while maintaining controlled complexity through modular design.
2Productivity
If multiple processing units are introduced to increase throughput, then real-time processing capability improves, but the system complexity increases
Solution Approach 1:
The system transitions from single-threaded sequential processing to multi-threaded parallel processing by introducing multiple processing units operating simultaneously. This dimensional change in processing architecture allows the system to handle ultra-high-resolution video frames in parallel, achieving real-time processing capability while the controller manages the complexity through centralized coordination.
3Speed
If frame images are processed sequentially by single processing system, then the system structure is simple, but the processing speed is insufficient for ultra-high-resolution video
Solution Approach 1:
The frame image processing task is segmented and distributed across multiple processing units. Each processing unit is assigned specific frame images to process independently, enabling simultaneous processing of multiple frames. This segmentation approach dramatically increases frame processing speed for ultra-high-resolution video while maintaining relatively simple individual processing unit structures.
Data Source
AI summary
A real-time editing system includes: a control device configured to create a rendering job containing a decode command to a decoder and a render command to a renderer; the renderer configured to create and transmit a decode job to the decoder, based on the rendering job, and render a material video decoded by the decoder; and the decoder configured to decode a compressed material image based on the decode job, and transmit the material image to the renderer.