Video Transcoding Quantization Parameter Adjustment
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Solution Overview
Problem
Existing video transcoding methods experience quality fluctuations and increased encoding time complexity due to the need for four-channel encoding, which is inefficient and time-consuming.
Innovation Solution
A method that adjusts the quantization parameter of video frames based on specific ratios of absolute transformed differences and bit rates, allowing for simplified and faster encoding without the need for four-channel encoding, by replacing source video frames with target frames in a sequence arrangement order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If four-channel encoding is used to maintain video quality, then video quality is improved, but encoding time complexity increases
Solution Approach 1:
The patent extracts and removes the four-channel encoding step from the transcoding process. By directly adjusting quantization parameters on the original video channels without separating into four channels, the method eliminates the time-consuming encoding process while maintaining quality control through parameter optimization.
Solution Approach 2:
The patent changes the encoding approach from spatial channel separation (four-channel encoding) to parameter optimization (quantization parameter adjustment). By modifying quantization parameters based on video content characteristics, the method achieves quality control without the time penalty of four-channel encoding.
2Reliability
If four-channel encoding is performed to ensure comprehensive video processing, then processing completeness is improved, but device complexity increases
Solution Approach 1:
The patent removes the complex four-channel encoding architecture and replaces it with a simpler direct encoding approach that operates on the original video channels, reducing computational complexity while maintaining processing effectiveness through targeted parameter adjustment.
Solution Approach 2:
Instead of the conventional approach of separating video into four channels for processing, the patent inverts the methodology by processing the original channels directly with optimized quantization parameters, achieving comprehensive processing through a simplified path.
3Productivity
If traditional quantization parameter adjustment is used, then encoding speed is improved, but video quality fluctuation increases
Solution Approach 1:
The patent implements feedback control by calculating the ratio of sum of absolute transformed differences (SATD) to bit rate and using this metric to dynamically adjust quantization parameters. This closed-loop approach ensures quality stability by responding to actual video content characteristics while maintaining encoding efficiency.
Solution Approach 2:
The patent optimizes quantization parameters based on the calculated SATD/bit rate ratio, changing parameters adaptively according to video content complexity. This approach maintains encoding speed while reducing quality fluctuations by allocating bits more efficiently across different video segments.
Data Source
AI summary
A video transcoding method is provided for a video transcoding device. The method includes obtaining a video sequence in source video data, which comprises a plurality of video sequences arranged in a sequence arrangement order; obtaining a source video frame in the video sequence; and obtaining a first ratio of a sum of absolute transformed differences of an initial frame in the video sequence to a bit rate of the video sequence. The method also includes adjusting a quantization parameter of the source video frame based on the first ratio; encoding the source video frame based on an adjusted quantization parameter to obtain a target video frame; replacing the source video frame with the target video frame to obtain a video sequence after the replacement; and adding the video sequence after the replacement to target video data according to the sequence arrangement order.


