US 12,432,079 B2
Participant sorting in video conferencing
Pei Hsuan Li, Spring, TX (US); Rose Hedderman, Spring, TX (US); Sarah Shiraz, Spring, TX (US); and Yu Chun Huang, Spring, TX (US)
Assigned to Hewlet-Packard Development Company, L.P., Spring, TX (US)
Filed by Hewlett-Packard Development Company, L.P., Spring, TX (US)
Filed on Mar. 13, 2023, as Appl. No. 18/183,053.
Prior Publication US 2024/0313990 A1, Sep. 19, 2024
Int. Cl. H04L 12/18 (2006.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01)
CPC H04L 12/1818 (2013.01) [G06V 10/82 (2022.01); G06V 40/176 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A non-transitory machine-readable storage medium comprising instructions executable by a processing resource of a computing device to cause the computing device to:
receive a video feed of a participant in a video conference;
identify the participant within the video feed;
determine a probability that a characteristic is being experienced by the participant;
determine, for each frame of the video feed, a frame relevancy score of the participant based on the probability that the characteristic is being experienced by the participant;
determine an average relevancy score for the participant based on a combination of the probability that the characteristic is being experienced by the participant, a sorting criterion, and a weighted average of the frame relevancy scores over a predetermined interval; and
display the participant relative to other participants in the video conference based on the average relevancy score.
 
13. A non-transitory machine-readable storage medium comprising instructions executable by a processing resource of a computing device to cause the computing device to:
receive a video feed for each of a set of participants in a video conference;
determine probabilities of characteristics being experienced by the set of participants in the video conference, wherein a distinct probability is determined for each participant of the set of participants;
determine a list of characteristics based on the probabilities and a threshold value;
determine a relevancy score for each of the set of participants in the video conference based on the probabilities and the threshold value;
sort the list of characteristics and the set of participants based on the probabilities and the relevancy scores; and
display a set of characteristics and the set of participants based on the sorted list of characteristics.