Video Conference Image Quality Prioritization Under Bandwidth Limits
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Solution Overview
Problem
Conventional video conference services collectively adjust the quality of participant images when network bandwidth reaches its limit, leading to potentially low quality and reduced participant satisfaction due to varying participant image states and network conditions.
Innovation Solution
An image quality adjustment system that analyzes each participant image to calculate a priority score, allowing selective quality changes based on network performance changes, ensuring high-quality video conferencing by prioritizing image adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the quality of each participant image is collectively adjusted when network bandwidth reaches its limit, then the network usage bandwidth does not exceed the limit, but the quality of the participant image viewed by each participant may be relatively low
Solution Approach 1:
The patent segments the collective image quality adjustment into individual participant image assessments. Each participant image is analyzed separately to calculate a priority score based on face size, number of faces, and other factors. This segmentation allows selective quality adjustment of specific participant images rather than uniformly reducing all image qualities, thereby maintaining higher overall image quality while still managing network bandwidth effectively.
Solution Approach 2:
The patent applies local quality adjustment by identifying specific participant images that require quality reduction based on their individual priority scores. Instead of uniformly reducing all participant image qualities, the system selectively reduces quality only for participant images with lower priority scores (e.g., small face size, multiple faces), while maintaining high quality for participant images with higher priority scores. This local quality approach ensures optimal image quality is preserved where most important.
2Quantity of substance
If the quality of each participant image is collectively adjusted, then the network bandwidth is managed, but the participants' satisfaction with the video conference service is lowered
Solution Approach 1:
The patent segments the image quality management into individual participant assessments, allowing the system to make informed decisions about which specific participant images to adjust. By calculating priority scores for each participant image based on factors like face size and number of faces, the system can selectively manage bandwidth while preserving quality for important participants, thereby maintaining participant satisfaction while still managing network resources effectively.
Solution Approach 2:
The patent changes the parameter of image quality adjustment from a uniform collective approach to a differentiated individual approach. By introducing priority scores as a new parameter and adjusting image quality based on these scores, the system optimizes the balance between bandwidth management and participant satisfaction. Participant images are adjusted based on their specific characteristics rather than applying a blanket quality reduction to all images.
3Manufacturing precision
If a priority score is calculated for each participant image and selective quality changes are made, then high-quality video conference service is provided, but the system complexity increases
Solution Approach 1:
The patent applies preliminary action by calculating priority scores for each participant image in advance, before quality adjustment decisions are made. The system pre-assesses each participant image based on factors like face size, number of faces, and other characteristics, storing these priority scores for quick reference. This preliminary assessment eliminates the need for complex real-time calculations during quality adjustment, simplifying the decision-making process while maintaining high image quality where important.
Solution Approach 2:
The patent enables the system to self-manage image quality by automatically calculating priority scores and making quality adjustment decisions without requiring manual intervention. The system autonomously assesses each participant image, determines which images require quality reduction based on priority scores, and implements selective quality adjustment. This self-service approach manages system complexity internally while providing high-quality service externally.
Data Source
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AI summary
A method for adjusting image quality and a terminal and a relay server for performing same are provided. A terminal for connecting to a conference via a network according to one embodiment of the present invention comprises: an image acquisition unit configured to acquire each participant image received from a plurality of other terminals connected to the conference; a network monitoring unit configured to monitor performance of the network; an image analyzer configured to analyze the each participant image to acquire one or more of image information, speech information, and quality information of the each participant image when the performance of the network changes; and a quality controller configured to change the quality of at least some of the participant images according to the analysis result of the each participant image.