US 11,947,591 B2
Methods and systems for processing imagery
David Karam, Los Gatos, CA (US); Li Zhang, Seattle, WA (US); Ariel Gilder, Fair Lawn, NJ (US); Yuzo Watanabe, Seattle, WA (US); Eric Penner, Redmond, WA (US); Farooq Ahmad, Shoreline, WA (US); and Hartwig Adam, Marina del Rey, CA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Appl. No. 17/049,452
Filed by Google LLC, Mountain View, CA (US)
PCT Filed Sep. 18, 2018, PCT No. PCT/US2018/051523
§ 371(c)(1), (2) Date Oct. 21, 2020,
PCT Pub. No. WO2020/060538, PCT Pub. Date Mar. 26, 2020.
Prior Publication US 2021/0248179 A1, Aug. 12, 2021
Int. Cl. G06N 20/00 (2019.01); G06F 16/535 (2019.01); G06F 16/55 (2019.01); G06F 16/583 (2019.01)
CPC G06F 16/583 (2019.01) [G06F 16/535 (2019.01); G06F 16/55 (2019.01); G06N 20/00 (2019.01)] 18 Claims
OG exemplary drawing
 
15. A system comprising:
one or more processors; and
a memory storing instructions that when executed by the one or more processors cause the system to perform operations comprising:
receiving data describing imagery comprising a plurality of different and distinct frames; and
determining, based at least in part on one or more machine learning (ML) models and the data describing the imagery, and for each frame of the plurality of different and distinct frames, one or more scores for the frame, each score of the one or more scores indicating a determined measure of suitability of the frame with respect to one or more of various different and distinct uses for which the one or more ML models are configured to determine suitability of imagery; wherein:
the plurality of different and distinct frames comprises a series of contemporaneously generated similar frames, each frame in the series comprising:
one or more subjects shared with each other frame in the series, and a contextual background, of the one or more subjects, shared with each other frame in the series; and
the determining comprises determining, for one or more frames in the series, one or more scores indicating the one or more frames in the series are determined to be better suited for a particular use of the one or more of the various different and distinct uses than each other frame in the series.