Zoom video communications, inc. (20240185384). Video Bandwidth Optimization simplified abstract
Contents
Video Bandwidth Optimization
Organization Name
zoom video communications, inc.
Inventor(s)
Xiran Wang of San Jose CA (US)
Huixi Zhao of San Jose CA (US)
Video Bandwidth Optimization - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240185384 titled 'Video Bandwidth Optimization
Simplified Explanation
Simplified Explanation: The patent application discusses optimizing video bandwidth through resolution downscaling and upscaling in a video communications platform.
- **Key Features and Innovation:**
* Implementing video resolution downscaling and upscaling for bandwidth optimization. * Generating a video stream at a higher resolution using a machine learning network. * Displaying the optimized video stream through a user interface.
Potential Applications: This technology can be applied in video conferencing platforms, streaming services, and video surveillance systems.
Problems Solved: This technology addresses the issue of high bandwidth consumption in video communications, leading to improved video quality and smoother streaming.
Benefits: The benefits of this technology include reduced bandwidth usage, enhanced video quality, and better user experience in video communication platforms.
Commercial Applications: Optimizing video bandwidth can have commercial applications in telecommunication companies, video conferencing software providers, and streaming services, leading to cost savings and improved service quality.
Prior Art: Prior art related to this technology may include research on video compression techniques and machine learning applications in video processing.
Frequently Updated Research: Stay updated on advancements in video compression algorithms, machine learning models for video processing, and user interface design for video communications platforms.
Questions about Video Bandwidth Optimization: Question 1: How does video resolution downscaling and upscaling impact video quality? Answer: Video resolution downscaling reduces bandwidth usage but may result in lower image quality, while upscaling enhances image quality but requires more bandwidth.
Question 2: What are the challenges in implementing machine learning networks for video stream optimization? Answer: Challenges may include training the network with diverse video data, optimizing network performance for real-time processing, and ensuring compatibility with existing video communication systems.
Original Abstract Submitted
video bandwidth optimization may be implemented using video resolution downscaling and upscaling in a video communications platform. video bandwidth optimization may include receiving a first video stream comprising first multiple image frames at a first resolution. a video stream may be generated at a second resolution higher than the first resolution using a trained machine learning network. a user interface may display the video stream.
