Abstract
The effectiveness of virtual meetings can be negatively affected when participants in a video conference are unfamiliar with each other. This disclosure describes techniques, implemented with appropriate user permissions, for automatic generation of descriptive text and annotations for participants in a virtual meeting. The descriptive text and annotations are generated based on combining various available pieces of information about the participant obtained with permission from a variety of information sources and/or via computational analysis of the video and audio from the live feed of the meeting. The information obtained can be used to determine and verify the identities of the meeting attendees prior to generating the descriptive text. The techniques can be incorporated within any video or audio conferencing software used for virtual meetings in corporate or personal settings.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Klein, Daniel V. and Ramos, Igor S., "Automatically Generating Descriptive Annotations for Participants in a Virtual Meeting", Technical Disclosure Commons, (March 11, 2022)
https://www.tdcommons.org/dpubs_series/4962