18300432. VIDEO CONFERENCE APPEARANCE VALIDATION AND REMEDIATION simplified abstract (International Business Machines Corporation)
Contents
VIDEO CONFERENCE APPEARANCE VALIDATION AND REMEDIATION
Organization Name
International Business Machines Corporation
Inventor(s)
Zachary A. Silverstein of Georgetown TX (US)
Melanie Dauber of Oceanside NY (US)
Jacob Ryan Jepperson of St. Paul MN (US)
Jeremy R. Fox of Georgetown TX (US)
Spencer Thomas Reynolds of Austin TX (US)
VIDEO CONFERENCE APPEARANCE VALIDATION AND REMEDIATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18300432 titled 'VIDEO CONFERENCE APPEARANCE VALIDATION AND REMEDIATION
Simplified Explanation: The patent application describes a method to prevent anomalous appearance characteristics of a user during a video conference by analyzing the user's video feed and comparing it to a reference appearance model.
Key Features and Innovation:
- Analyzing a user's video feed in real-time during a video conference.
- Comparing the user's appearance to a reference model to detect anomalies.
- Notifying the user of any detected anomalous appearance characteristics.
Potential Applications: This technology could be used in video conferencing platforms, online meetings, virtual events, and remote interviews to ensure users maintain a consistent and appropriate appearance.
Problems Solved:
- Preventing unexpected or inappropriate appearance during video conferences.
- Enhancing user experience and professionalism in virtual communication.
Benefits:
- Improves user's appearance consistency during video conferences.
- Enhances user's confidence and professionalism in virtual interactions.
- Helps maintain a positive and appropriate image in online meetings.
Commercial Applications: The technology could be integrated into video conferencing software, virtual event platforms, and online meeting tools to offer users a feature that ensures their appearance remains consistent and appropriate during virtual interactions.
Prior Art: Prior art related to this technology may include research on facial recognition, image processing, and video analysis techniques used in virtual communication platforms.
Frequently Updated Research: Researchers may be exploring advancements in facial recognition technology, real-time image processing algorithms, and user experience enhancements in virtual communication tools.
Questions about Video Conference Appearance Monitoring: 1. How does the technology differentiate between intentional changes in appearance and true anomalies? 2. What measures are in place to protect user privacy and data security in this video appearance monitoring system?
Original Abstract Submitted
An approach for preventing anomalous appearance characteristics of a user during a video conference. The approach receives a user's video feed from a video conference comprising the user's video feed. The approach analyzes the user's video feed based on a comparison with a reference appearance model associated with the user. The approach detects, based on the analysis, anomalous appearance characteristics associated with the user. The approach notifies the user of the anomalous appearance.
