US 11,925,873 B1
Telemetric video processing
Alexander Lucas, Edmonton (CA); Mike Kriz, Canmore (CA); and Nathan Frederick, Edmonton (CA)
Assigned to Electronic Arts Inc., Redwood City, CA (US)
Filed by Electronic Arts Inc., Redwood City, CA (US)
Filed on Jun. 6, 2022, as Appl. No. 17/833,484.
Application 17/833,484 is a continuation of application No. 17/006,598, filed on Aug. 28, 2020, granted, now 11,369,885.
Int. Cl. A63F 13/86 (2014.01); A63F 13/537 (2014.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06V 20/40 (2022.01); H04N 19/42 (2014.01)
CPC A63F 13/86 (2014.09) [A63F 13/537 (2014.09); G06F 18/217 (2023.01); G06F 18/22 (2023.01); G06V 20/41 (2022.01); G06V 20/46 (2022.01); H04N 19/42 (2014.11)] 16 Claims
OG exemplary drawing
 
1. A computer-implemented method for extracting information from videos, comprising:
receiving a set of annotated screen captures comprising portions of interest within corresponding screen captures of a video game;
receiving at least a first set of videos for the video game that comprise gameplay of the video game generated through interactions of one or more players with the video game;
training a first machine-learning model to identify the portions of interest within the first set of videos based on the set of annotated screen captures;
generating validation data based on results of the first machine-learning model;
receiving a second set of videos for the video game that comprise gameplay of the video game generated by a variety of players, the second set of videos being larger than the first set of videos;
training a second machine-learning model to identify the portions of interest within the second set of videos based on the validation data;
extracting information based on the portions of interest identified in at least the first set of videos and the second set of videos; and
extracting information based on the portions of interest identified in at least the first set of videos.