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案件記録

ADVANCED SYSTEMS AND METHODS FOR SELF-LEARNING RECOMMENDER SYSTEM FOR GROUP PERFORMANCE AND GROUP CREATIVITY

発明審査中
20請求項 · 1 独立
§ Ⅰ

案件概要

出願人

Sunshine in Interaction

発明者

Thomas Spielhofer; Lorenz Glatz

IPC分類

H4L 12/18G6F 16/68G6F 16/683

CPC分類

H4L12/1831G6F16/683G6F16/686

A system for dynamically generating and analyzing metadata for online meetings is provided. The system is programmed to: a) receive at least one stream of at least one of audio and video of an online meeting, wherein the at least one stream includes a plurality of participants participating in the online meeting; b) extract a plurality of metadata from the at least one stream; c) perform diarization on the at least one stream and the plurality of metadata the at least one stream to generate diarization information; d) analyze the diarization information to calculate one or more key performance indicators (KPIs); e) determine a recommendation to change the one or more KPIs; and/or f) generate visualization of at least one of the key performance indicators and the recommendation to be displayed to one or more participants in the online meeting.

原文(中国語)

A system for dynamically generating and analyzing metadata for online meetings is provided. The system is programmed to: a) receive at least one stream of at least one of audio and video of an online meeting, wherein the at least one stream includes a plurality of participants participating in the online meeting; b) extract a plurality of metadata from the at least one stream; c) perform diarization on the at least one stream and the plurality of metadata the at least one stream to generate diarization information; d) analyze the diarization information to calculate one or more key performance indicators (KPIs); e) determine a recommendation to change the one or more KPIs; and/or f) generate visualization of at least one of the key performance indicators and the recommendation to be displayed to one or more participants in the online meeting.

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