Video Optimization Processing for High-Compression Quality Restoration
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Solution Overview
Problem
Conventional streaming media technologies face high bandwidth requirements due to high compression, leading to degraded video quality upon restoration.
Innovation Solution
A video optimization processing system and method that involves compressing a video into multiple streams, calculating image enhancement algorithms and parameters using machine learning, and employing these at the user device to restore the video to its original quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If high compression is applied to streaming media data, then bandwidth requirement is reduced, but video quality is degraded
Solution Approach 1:
The patent segments the video transmission into multiple quality levels (first quality video stream and second quality video stream) allowing selective delivery based on network conditions and user needs, enabling bandwidth optimization without sacrificing quality for all viewers
Solution Approach 2:
The system dynamically adjusts compression parameters and quality levels based on network bandwidth conditions. When bandwidth is limited, higher compression is applied to reduce data transmission requirements while maintaining acceptable quality through intelligent parameter adaptation
2Productivity
If compression ratio is increased, then data transmission efficiency is improved, but distortion of media data increases
Solution Approach 1:
The patent implements dynamic quality adaptation where the compression ratio and quality level are adjusted in real-time based on network conditions. The system can switch between different compression levels and quality parameters to maintain optimal balance between transmission efficiency and data fidelity
Solution Approach 2:
The system employs feedback mechanisms to monitor network conditions and video quality metrics, allowing continuous optimization of compression parameters to minimize distortion while maximizing transmission efficiency
Data Source
AI summary
The present disclosure provides a video optimization processing system that includes a server and a user device. The server compresses a first video to generate a second video and a third video, so as to compare the third video and the second video to generate difference information, and the server calculates, according to the difference information, at least one enhancement parameter and at least one image enhancement algorithm. The user device executes the video playing software and receives the third video, the at least one image enhancement algorithm and the at least one enhancement parameter from the server. The video playing software restores the third video to generate the fourth video based on the at least one image enhancement algorithm and the at least one enhancement parameter, thereby playing the fourth video.