US 12,217,142 B2
Using machine learning to detect which part of the screen includes embedded frames of an uploaded video
Filip Pavetic, Zürich (CH); King Hong Thomas Leung, Saratoga, CA (US); and Dmitrii Tochilkin, Zürich (CH)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Nov. 27, 2023, as Appl. No. 18/520,532.
Application 18/520,532 is a continuation of application No. 17/403,804, filed on Aug. 16, 2021, granted, now 11,829,854.
Application 17/403,804 is a continuation of application No. 16/813,686, filed on Mar. 9, 2020, granted, now 11,093,751, issued on Aug. 17, 2021.
Application 16/813,686 is a continuation of application No. 15/444,054, filed on Feb. 27, 2017, granted, now 10,586,111, issued on Mar. 10, 2020.
Claims priority of provisional application 62/446,057, filed on Jan. 13, 2017.
Prior Publication US 2024/0104435 A1, Mar. 28, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 20/00 (2019.01); G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 20/40 (2022.01)
CPC G06N 20/00 (2019.01) [G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 20/40 (2022.01); G06V 20/41 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
providing data identifying a first image as input to a machine learning model trained using training data identifying a plurality of composite images that each include one or more constituent images; and
determining, using one or more outputs of the trained machine learning model, that the first image is a composite image that includes a first constituent image, wherein at least a portion of the first constituent image is in a spatial area of the first image, and wherein the first constituent image corresponds to a frame of a video embedded into the first image.