Video Transcoding Scene Change Detection
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Solution Overview
Problem
Conventional video transcoding methods face challenges in achieving high performance and speed, particularly in adapting to multiple formats and ensuring accurate transcoding for higher resolution and better picture quality, especially when dealing with drastic scene changes.
Innovation Solution
A video transcoding system that includes a drastic scene change detection module, which analyzes scene complexity using parameters like bit usage, variance, and quantization step values to rapidly adjust quality parameters and convert P-type images to I-type images during transcoding, leveraging similarities between input and output formats to minimize computation and avoid visual artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional video transcoding methods are used to maintain high picture quality and adapt to multiple formats, then transcoding accuracy is improved, but processing speed and computational efficiency deteriorate
Solution Approach 1:
The patent implements dynamic quality parameter adjustment based on scene complexity detection. The system continuously monitors scene changes and adapts compression settings in real-time, using higher quality parameters for complex scenes and lower parameters for simple scenes, thereby maintaining transcoding accuracy while improving processing speed
Solution Approach 2:
The system changes quality parameters dynamically based on detected scene complexity. By adjusting compression ratios, bitrates, and encoding settings according to the complexity of each scene, the system achieves both high transcoding accuracy for complex content and faster processing for simpler content
2Productivity
If conventional transcoding methods process video without scene change detection, then processing speed is maintained, but visual artifacts increase during drastic scene changes
Solution Approach 1:
The system performs preliminary detection of scene changes before transcoding each scene. By identifying drastic scene changes in advance, the system can proactively adjust quality parameters and encoding settings to prevent visual artifacts before they occur, while maintaining efficient processing through automated detection
3Manufacturing precision
If quality parameters are kept high for all scenes to ensure picture quality, then picture quality is improved, but computational load increases
Solution Approach 1:
The patent applies different quality levels to different scenes based on their complexity. Complex scenes receive high-quality encoding parameters to maintain picture quality, while simple scenes use lower quality parameters, thereby reducing overall computational load while preserving picture quality where it matters most
Data Source
AI summary
A system for transcoding a video signal into a transcoded video signal includes a drastic scene change detection module that detects a drastic scene change in a sequence of images, wherein the drastic scene change indicates a change in scene complexity. A transcoder section generates the transcoded video signal, wherein, when the drastic scene change is detected, a quality parameter is adjusted in at least one of the sequence of images.