US 11,659,214 B2
Automated workflows from media asset differentials
Yadong Wang, Los Gatos, CA (US); Chih-Wei Wu, Campbell, CA (US); Kyle Tacke, Glendale, CA (US); Shilpa Jois Rao, Cupertino, CA (US); Boney Sekh, Cupertino, CA (US); Andrew Swan, Santa Clarita, CA (US); and Raja Ranjan Senapati, Fremont, CA (US)
Assigned to Netflix, Inc., Los Gatos, CA (US)
Filed by Netflix, Inc., Los Gatos, CA (US)
Filed on Apr. 30, 2021, as Appl. No. 17/245,252.
Claims priority of provisional application 63/054,132, filed on Jul. 20, 2020.
Prior Publication US 2022/0021911 A1, Jan. 20, 2022
Int. Cl. H04N 21/2343 (2011.01); G11B 27/10 (2006.01); G11B 27/031 (2006.01); H04N 21/234 (2011.01); G06Q 10/0631 (2023.01)
CPC H04N 21/2343 (2013.01) [G06Q 10/06312 (2013.01); G11B 27/031 (2013.01); G11B 27/10 (2013.01); H04N 21/23412 (2013.01); H04N 21/23418 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
accessing a first media data object and a different, second media data object that, when played back, each render temporally sequenced content;
comparing first temporally sequenced content represented by the first media data object with second temporally sequenced content represented by the second media data object to identify a set of common temporal subsequences between the first media data object and the second media data object;
identifying a set of edits relative to the set of common temporal subsequences that describe a difference between the temporally sequenced content of the first media data object and the temporally sequenced content of the second media data object; and
executing a workflow relating to at least one of the first media data object and the second media data object based on the set of edits.