Video Conference Hub Dynamic Source Selection
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Solution Overview
Problem
Current video conferencing systems face challenges in efficiently managing and processing multiple camera views and audio inputs, leading to bandwidth limitations and reduced quality in dynamic switching scenarios.
Innovation Solution
A system that uses a conference hub to select and transmit the most relevant audio and video sources based on data confidence levels from multiple peripheral devices, optimizing data transmission and processing by dynamically switching between sources to ensure clear and relevant content is sent to remote users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple camera views and audio inputs are used to improve dynamic switching capability, then the ability to switch between different audio and video inputs is enhanced, but bandwidth and processing demands increase
Solution Approach 1:
The patent extracts only the necessary audio and video data for transmission by using confidence levels to identify and discard redundant or low-quality inputs. The system processes multiple camera views and audio inputs but transmits only the selected high-confidence streams, reducing bandwidth requirements while preserving dynamic switching capability.
Solution Approach 2:
The system dynamically changes the parameter of data transmission by adjusting which audio and video streams are transmitted based on confidence level calculations. This allows the system to adapt transmission quality and quantity in real-time, maintaining versatility while controlling bandwidth consumption through parameter-based selection.
2Reliability
If multiple camera views and audio inputs are processed to improve user experience, then the quality of dynamic content switching is enhanced, but the bandwidth available for desired audio and video transmission is reduced
Solution Approach 1:
The system extracts only the essential high-quality audio and video streams for transmission by calculating confidence levels for each input source. Multiple views are processed locally to determine quality, but only the selected optimal streams are transmitted, ensuring high user experience quality while conserving bandwidth.
Solution Approach 2:
The system performs excessive processing of multiple audio and video inputs to evaluate confidence levels, but transmits only a partial subset of these processed streams. This partial transmission approach maintains high reliability for user experience while reducing bandwidth consumption by not transmitting all processed data.
3Loss of information
If data from multiple peripheral devices is transmitted to improve content relevance, then the most relevant data can be provided to remote users, but data transfer requirements and processing demands increase
Solution Approach 1:
The system uses confidence levels as feedback mechanisms to evaluate the relevance and quality of data from multiple peripheral devices. This feedback-driven selection process transmits only the most relevant content, preventing information loss while avoiding the complexity of transmitting and processing all available data streams.
Solution Approach 2:
The system extracts only the most relevant content data from multiple peripheral devices by comparing confidence levels. This selective extraction ensures that remote users receive the most relevant information while reducing data transfer requirements and processing complexity compared to transmitting all available data.
Data Source
AI summary
Embodiments of the disclosure provided herein can be used to improve the control, selection and transmission of data to a remote video conferencing environment, by use of a plurality of wired or wirelessly connected electronic devices. In one example, the transmission of data from a local environment can be improved by switching the source of visual inputs (e.g., cameras or display of an electronic device, such as laptop) and/or audio inputs (e.g., microphones) to the one or more appropriate visual and audio sources available within the local environment. The most appropriate visual and audio sources can be the sources that provide the participants in the remote environment the most relevant data giving the remote users the best understanding of the current activities in the local environment.