US 12,141,903 B1
Dynamic video conference interface optimization
Spencer Thomas Reynolds, Austin, TX (US); Zachary A. Silverstein, Georgetown, TX (US); Jacob Ryan Jepperson, St. Paul, MN (US); and Jeremy R. Fox, Georgetown, TX (US)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Jun. 7, 2023, as Appl. No. 18/330,954.
Int. Cl. G06T 11/60 (2006.01); H04L 65/403 (2022.01); H04L 67/02 (2022.01); G06Q 10/10 (2023.01); G06Q 10/1093 (2023.01); H04L 12/18 (2006.01); H04N 7/15 (2006.01)
CPC G06T 11/60 (2013.01) [H04L 65/403 (2013.01); H04L 67/02 (2013.01); G06Q 10/10 (2013.01); G06Q 10/1095 (2013.01); G06T 2200/24 (2013.01); H04L 12/1818 (2013.01); H04L 12/1822 (2013.01); H04N 7/15 (2013.01); H04N 7/157 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for video conference optimization, the method comprising:
accessing data for a scheduled web conference, including at least an agenda;
generating a visual display template for each of a plurality of participants of the scheduled web conference;
monitoring the scheduled web conference using a time series deep learning model trained using historical calendar data to identify task duration patterns and one or more linguistic analysis techniques to identify upcoming transitions within the agenda based on audio data that includes a discussion between the plurality of participants; and
adjusting the visual display template for at least a portion of the plurality of participants during the scheduled web conference.