Video Processing Conversion Parameters for Bandwidth and Quality
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Solution Overview
Problem
Current video processing technologies face challenges in reducing bandwidth usage while maintaining video quality, as they require large universal models that are difficult to train and costly to implement, often resulting in loss of critical information during restoration.
Innovation Solution
The method involves converting a first group of image frames in a video from a high resolution to a lower resolution, determining dedicated conversion parameters based on both groups, and sending these parameters with the video to ensure high-quality restoration without the need for dedicated hardware, reducing computing complexity and bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If large universal models are used for video restoration, then video quality can be maintained, but device complexity and training difficulty increase significantly
Solution Approach 1:
The patent divides the video restoration task into two separate processes: (1) downscaling the original high-resolution video to low-resolution, and (2) upscaling the low-resolution video back to high-resolution using conversion parameters. This segmentation allows each process to be optimized independently, avoiding the need for complex universal models while maintaining video quality.
Solution Approach 2:
The patent transforms the restoration problem from using complex model parameters to using simple conversion parameters that can be easily determined and transmitted. These conversion parameters are derived from comparing the original video frames with downscaled frames, enabling quality restoration without requiring large universal models.
2Manufacturing precision
If high-resolution video is transmitted directly, then video quality is maintained, but bandwidth usage increases
Solution Approach 1:
The patent performs preliminary downscaling of the video to low-resolution before transmission, reducing bandwidth requirements. The conversion parameters are calculated in advance and transmitted along with the low-resolution video, enabling the receiver to reconstruct high-quality video without transmitting the full high-resolution content.
3Manufacturing precision
If dedicated hardware is used for video restoration, then restoration quality improves, but hardware cost increases
Solution Approach 1:
The patent replaces the need for dedicated hardware restoration systems with a software-based approach using conversion parameters. Instead of using complex mechanical or hardware systems for video restoration, the invention uses computational methods that can be implemented on general-purpose devices, eliminating the need for expensive dedicated hardware while maintaining restoration quality.
Data Source
AI summary
Illustrative embodiments include a method, an electronic device, and a computer program product for video processing. In the method, a first group of image frames in a first video having a first resolution is converted into a second group of image frames having a second resolution, the first resolution being higher than the second resolution; a second video having the second resolution is generated based on the second group of image frames; conversion parameters for the second video are determined based on the first group of image frames and the second group of image frames, the conversion parameters being used to convert an image frame in the second group of image frames into an image frame having a third resolution, and the third resolution being higher than the second resolution; and the conversion parameters and the second video are sent to a requester of the first video.