Dynamic Video Quality Adjustment via Frame Relevance Analysis
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Solution Overview
Problem
The increasing load on Internet Service Providers' networks due to high internet usage necessitates efficient data transfer methods for video content, while maintaining user experience, especially in situations where bandwidth is limited, such as during location changes or when users enter areas with reduced network connectivity.
Innovation Solution
A content transmission system dynamically adjusts video quality by identifying frames based on relevance, importance, edge, and curve counts, and generating color maps to determine quality levels, ensuring that critical or high-relevance frames are maintained at higher quality while less relevant frames are reduced in quality, thereby optimizing data transfer with limited bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video quality is reduced to alleviate network load, then network burden is reduced, but user experience deteriorates
Solution Approach 1:
The patent applies local quality by differentiating video frames into important and unimportant categories, applying different quality levels to different parts of the video content. Important frames (containing critical visual information) are transmitted at high quality, while unimportant frames are transmitted at reduced quality, thereby maintaining overall user experience while reducing total data transmission requirements.
Solution Approach 2:
The patent segments video content into individual frames and further categorizes them into important and unimportant groups. This segmentation allows the system to selectively apply quality reduction only to unimportant frames rather than uniformly reducing quality across all frames, thus preserving user experience for critical content while optimizing network throughput.
2Loss of energy
If uniform quality reduction is applied to all frames, then data transfer is optimized, but critical visual information is degraded
Solution Approach 1:
The system evaluates each frame's importance based on visual content analysis and applies quality reduction selectively. Frames containing critical visual information (such as scenes with important actions or details) are preserved at high quality, while frames with less important content undergo quality reduction, thus minimizing information loss while optimizing data transfer efficiency.
Solution Approach 2:
The patent introduces an intermediary quality assessment mechanism that analyzes frame importance before transmission. This intermediary layer evaluates visual content characteristics and determines appropriate quality levels for each frame, acting as a mediator between the original high-quality source and the transmitted lower-quality version, thereby preserving essential visual information while reducing overall data transfer requirements.
Data Source
AI summary
Systems and methods for dynamically adapting quality levels of content is disclosed herein. A content transmission system determines whether to reduce streaming bandwidth of a device that transmits content. In response to determining to reduce the streaming bandwidth, the content transmission system identifies a first plurality of frames of the content based on a first context and a second plurality of frames of the content based on a second context. The content transmission system transmits the first plurality of frames at a first quality level based on the first context and the second plurality of frames at a second quality level that is higher than the first quality level based on the second context.