US 12,192,022 B1
Video conference content auto-retrieval and focus based on learned relevance
Victor Carbune, Winterthur (CH); Daniel Keysers, Stallikon (CH); and Thomas Deselaers, Zurich (CH)
Assigned to Google LLC, Mountain View, CA (US)
Filed by GOOGLE LLC, Mountain View, CA (US)
Filed on Feb. 29, 2024, as Appl. No. 18/592,428.
Application 18/592,428 is a continuation of application No. 17/972,515, filed on Oct. 24, 2022, granted, now 11,956,091.
Application 17/972,515 is a continuation of application No. 16/730,484, filed on Dec. 30, 2019, granted, now 11,483,170, issued on Oct. 25, 2022.
Int. Cl. G06F 15/16 (2006.01); H04L 12/18 (2006.01); H04M 3/56 (2006.01)
CPC H04L 12/1831 (2013.01) [H04L 12/1818 (2013.01); H04L 12/1822 (2013.01); H04M 3/566 (2013.01); H04M 3/568 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
determining a plurality of collaborative documents each associated with at least one user of at least one of a plurality of client devices participating in a video conference;
providing one or more first inputs to a machine learning model, the one or more first inputs identifying the plurality of collaborative documents, and comprising an indication of a request to identify a collaborative document that is most relevant to a first subject discussed during the video conference at a first point in time;
determining, based on one or more first outputs of the machine learning model, the collaborative document that is the most relevant to the first subject discussed during the video conference at the first point in time;
providing the determined collaborative document for presentation on one or more of the plurality of client devices while the first subject is being discussed during the video conference; and
responsive to determining, at a second point in time during the video conference, that the first subject has changed to a second subject:
determining, based on one or more second outputs of the machine learning model, that none of the plurality of collaborative documents is relevant to the second subject discussed during the video conference at the second point in time; and
providing, for presentation on the plurality of client devices while the second subject is being discussed during the video conference, a media stream associated with a current speaker of the video conference.