Dynamic Session Parameter Adjustment for Heterogeneous Video Collaboration
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Solution Overview
Problem
Current video conferencing technologies are limited by high costs, dedicated hardware requirements, and bandwidth constraints, making them inaccessible to a wide audience and unsuitable for mobile use, especially with heterogeneous devices and networks.
Innovation Solution
A software-based system that dynamically adjusts session parameters to optimize video conferencing quality across different devices and networks, using machine learning and predictive switching to ensure high-definition video and audio communication, even over wireless networks, by determining the best data path and adapting to changes in network conditions and device capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional video conferencing systems use dedicated hardware and H.323 standard, then interoperability and quality are ensured, but cost and device complexity increase significantly
Solution Approach 1:
The patent implements a universal software-based video conferencing system that can operate across heterogeneous devices (desktops, laptops, mobile devices) without requiring dedicated hardware. The system uses standard camera, microphone, and speaker components already present in common devices, making the technology universally accessible while maintaining interoperability through software-based communication protocols
Solution Approach 2:
The patent replaces dedicated hardware systems with software-based solutions. Instead of requiring specialized video conferencing hardware, the system uses software applications that leverage existing device components, thereby reducing device complexity while maintaining functional reliability across different platforms and devices
2Manufacturing precision
If video conferencing uses high bandwidth connections, then video quality is improved, but mobility and accessibility are reduced
Solution Approach 1:
The patent implements dynamic adaptation of video quality parameters based on available network bandwidth. The system continuously monitors network conditions and adjusts video resolution, frame rate, and compression levels in real-time, allowing high-quality video when bandwidth permits while maintaining functionality on mobile devices with limited bandwidth. This dynamic approach enables video conferencing across diverse network conditions without sacrificing mobility
Solution Approach 2:
The patent changes key video transmission parameters (resolution, bitrate, frame rate) dynamically based on network conditions and device capabilities. By adjusting these parameters, the system maintains acceptable video quality across varying bandwidth conditions, enabling both high-quality stationary conferencing and mobile access on wireless networks with limited bandwidth
3Ease of manufacture
If software-based video solutions are used, then cost and device accessibility are improved, but video quality and reliability deteriorate
Solution Approach 1:
The patent allocates bandwidth and processing resources dynamically, giving priority to video streams while allowing other network traffic to use remaining capacity. This partial prioritization ensures adequate video quality on software-based systems without requiring dedicated hardware resources, maintaining reliability while keeping costs low through efficient resource utilization
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor video quality metrics, network conditions, and device performance. Based on this feedback, the system automatically adjusts encoding parameters, bitrate, and resolution to maintain acceptable video quality. This closed-loop control compensates for the limitations of software-based solutions, ensuring reliability without requiring expensive dedicated hardware
Data Source
AI summary
Methods and systems for mobile video communications may include using a wireless network for video communications when a wired network is unavailable by providing portable mobile communications equipment to enable video communications and collaborations over a cellular, satellite or other wireless network. The methods and systems may use two or more network connections to transmit data packets for the video communications or collaborations. In addition, the methods and systems may use machine learning and predictive switching technology to determine the data paths for transmission of the data for the video communications or collaborations.


