Video Transcoding Region Quality Control
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Solution Overview
Problem
Existing video transcoding methods struggle to maintain high quality in specific regions of a video, such as faces, during the transcoding process, as they primarily focus on overall content and bit rate, leading to suboptimal image quality in key part regions.
Innovation Solution
A method that acquires background and key part region features in a video, predicts transcoding parameters based on these features, and adjusts the transcoding process to ensure the key part region meets an expected quality, by using a transcoding parameter prediction model that considers both background and key part region features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video transcoding focuses on overall content and bit rate, then transcoding efficiency is improved, but image quality in key part regions deteriorates
Solution Approach 1:
The patent segments the video into different regions (key part regions and background regions) and applies different transcoding parameters to each region. The key part regions receive higher bit rates and different quality settings compared to background regions, allowing optimized quality for important areas while maintaining overall efficiency.
Solution Approach 2:
The patent implements local quality enhancement by detecting key part regions (such as faces or important objects) and applying specialized transcoding parameters specifically to these regions. This ensures that key parts maintain high image quality while other parts of the video can use more aggressive compression.
2Manufacturing precision
If higher bit rate is allocated to maintain overall image quality, then background quality is improved, but key part region quality cannot be independently optimized
Solution Approach 1:
The patent divides the video into key part regions and background regions, enabling independent quality control for each segment. This segmentation allows the system to allocate bit rates differently based on region importance rather than applying uniform quality settings throughout the entire video.
Solution Approach 2:
The patent dynamically adjusts transcoding parameters based on region type and importance. The system can independently control quality settings for key part regions versus background regions, allowing flexible adaptation to different video content and user requirements rather than using a fixed overall quality setting.
Data Source
AI summary
A video data processing method is provided. In the method, video features of a target video are acquired. The video features include background features and key part region features. An expected quality of a key part of the target video is acquired. The expected quality of the key part corresponds to an image quality of the key part in a transcoded target video after the target video is transcoded. A background prediction transcoding parameter of the target video is determined based on the background features and an expected quality of a background. The expected quality of the background corresponds to an overall image quality of the transcoded target video. A target transcoding parameter prediction value is determined based on the background features, the key part region features, and the background prediction transcoding parameter. The target video is transcoded according to the target transcoding parameter prediction value.