US 11,985,180 B2
Meeting-video management engine for a meeting-video management system
Nidhi Tiwari, Bangalore (IN); Chao Han, Vancouver (CA); and Krish Gurdasani, Bellevue, WA (US)
Assigned to MICROSOFT TECHNOLOGY LICENSING, LLC, Redmond, WA (US)
Filed by MICROSOFT TECHNOLOGY LICENSING, LLC, Redmond, WA (US)
Filed on Nov. 16, 2021, as Appl. No. 17/527,641.
Prior Publication US 2023/0156063 A1, May 18, 2023
Int. Cl. H04L 65/403 (2022.01); G06F 16/71 (2019.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06V 20/40 (2022.01); G10L 25/57 (2013.01); H04L 65/75 (2022.01)
CPC H04L 65/75 (2022.05) [G06F 16/71 (2019.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06V 20/46 (2022.01); G06V 20/49 (2022.01); G10L 25/57 (2013.01); H04L 65/403 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computerized system, the computerized system comprising:
at least one computer processor; and
computer memory storing computer-useable instructions that, when used by the at least one computer processor, cause the at least one computer processor to perform operations comprising:
accessing, at a meeting-video management engine, meeting-video content that corresponds to a meeting associated with a user;
using a clip-generator machine learning model, generating a first clip and a second clip that define video data corresponding to the meeting-video content;
accessing the video data, meeting data of the meeting, and user data of the user, wherein the video data, the meeting data, and the user data are associated with a meeting-video tailoring machine learning model that is trained based on meeting-video tailoring features, the meeting-video tailoring features correspond to the video data, the meeting data, and the user data and the meeting-video tailoring machine learning model is configured to generate a plurality of tailored meeting-video segments of the meeting-video content;
based on the meeting-video content, the video data, the meeting data, and the user data, generating, via the meeting-video tailoring machine learning model, a first tailored meeting-video segment and a second tailored meeting-video segment;
ranking the first tailored meeting-video segment and the second tailored meeting-video segment; and
communicating the first tailored meeting-video segment and the second tailored meeting-video segment.