18397668. QUALITY STATUS LOOPBACK FOR ONLINE COLLABORATION SESSIONS simplified abstract (Intel Corporation)
Contents
- 1 QUALITY STATUS LOOPBACK FOR ONLINE COLLABORATION SESSIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 QUALITY STATUS LOOPBACK FOR ONLINE COLLABORATION SESSIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does the apparatus handle different types of media data packets during the analysis process?
- 1.11 What measures are in place to ensure the security and privacy of the transmitted loopback messages?
- 1.12 Original Abstract Submitted
QUALITY STATUS LOOPBACK FOR ONLINE COLLABORATION SESSIONS
Organization Name
Inventor(s)
Aiswarya M. Pious of Bangalore (IN)
Stanley Jacob Baran of Chandler AZ (US)
Michael Daniel Rosenzweig of Queen Creek AZ (US)
Chia-Hung Sophia Kuo of Folsom CA (US)
Nagalakshmi S of Bengaluru (IN)
Praveen Kashyap Ananta Bhat of Bangalore (IN)
Balvinder Pal Singh of Bhilai (IN)
Jason Tanner of Folsom CA (US)
Passant V. Karunaratne of Chandler AZ (US)
Venkateshan Udhayan of Portland OR (US)
Srikanth Potluri of Folsom CA (US)
QUALITY STATUS LOOPBACK FOR ONLINE COLLABORATION SESSIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18397668 titled 'QUALITY STATUS LOOPBACK FOR ONLINE COLLABORATION SESSIONS
Simplified Explanation
The example apparatus described in the abstract is designed to analyze network data and local data during an online collaboration session to determine quality scores and transmit loopback messages to a moderator client.
- The apparatus receives network data, including media data packets, via a first channel associated with the online collaboration session.
- It analyzes the network data to determine first loopback data, which includes quality scores based on analyses of the received media data packets.
- The apparatus also analyzes local data obtained by a local client during the online collaboration session to determine second loopback data.
- It then transmits a loopback message to a moderator client via a second channel, based on the first loopback data and the second loopback data.
Potential Applications
This technology could be applied in online collaboration platforms, video conferencing systems, and remote learning environments to monitor and improve the quality of media data transmission.
Problems Solved
This technology helps identify and address issues related to the quality of media data packets during online collaboration sessions, ensuring a smoother and more effective communication experience for all participants.
Benefits
The apparatus allows for real-time monitoring and analysis of network and local data, enabling prompt feedback and adjustments to enhance the overall quality of the online collaboration session.
Potential Commercial Applications
This technology could be valuable for companies offering online collaboration tools, video conferencing services, and educational platforms seeking to optimize the user experience and ensure high-quality media data transmission.
Possible Prior Art
Prior art in this field may include technologies for analyzing network data, monitoring media data packets, and providing feedback on data transmission quality in online communication systems.
Unanswered Questions
How does the apparatus handle different types of media data packets during the analysis process?
The abstract does not specify the specific methods or algorithms used to analyze different types of media data packets for determining quality scores.
What measures are in place to ensure the security and privacy of the transmitted loopback messages?
The abstract does not mention any security protocols or encryption methods that may be implemented to protect the loopback messages transmitted to the moderator client.
Original Abstract Submitted
An example apparatus disclosed herein is to receive network data communicated via a first channel associated with the online collaboration session, the network data including received media data packets. The disclosed example apparatus is also to analyze the network data to determine first loopback data, the first loopback data including at least one of a first quality score based on a first analysis of the received media data packets or a second quality score based on a second analysis of media decoded from the received media data packets. The disclosed example apparatus is also to analyze local data obtained by a local client during the online collaboration session to determine second loopback data. The disclosed example apparatus is further to cause transmission of a loopback message to a moderator client via the second channel, the loopback message based on the first loopback data and the second loopback data.
- Intel Corporation
- Aiswarya M. Pious of Bangalore (IN)
- Tao Tao of Portland OR (US)
- Stanley Jacob Baran of Chandler AZ (US)
- Michael Daniel Rosenzweig of Queen Creek AZ (US)
- Chia-Hung Sophia Kuo of Folsom CA (US)
- Rahul R of Aluva (IN)
- Nagalakshmi S of Bengaluru (IN)
- Praveen Kashyap Ananta Bhat of Bangalore (IN)
- Balvinder Pal Singh of Bhilai (IN)
- Navya P of Bangalore (IN)
- Jason Tanner of Folsom CA (US)
- Passant V. Karunaratne of Chandler AZ (US)
- Venkateshan Udhayan of Portland OR (US)
- Srikanth Potluri of Folsom CA (US)
- H04L12/18
- G06F3/04817
- H04L51/04
- H04L65/1069
- H04L65/80