US 11,057,652 B1
Adjacent content classification and targeting
Ronnie Dean Gauny, Cedar Park, TX (US); Andrew Christopher Chud, Austin, TX (US); and Scott Anthony Siegler, Redwood City, CA (US)
Assigned to Amazon Technologies, Inc., Seattle, WA (US)
Filed by Amazon Technologies, Inc., Reno, NV (US)
Filed on Apr. 30, 2019, as Appl. No. 16/399,506.
Int. Cl. H04N 21/234 (2011.01); G06K 9/00 (2006.01); H04N 21/266 (2011.01); H04N 21/845 (2011.01); H04N 21/81 (2011.01)
CPC H04N 21/23418 (2013.01) [G06K 9/00718 (2013.01); H04N 21/266 (2013.01); H04N 21/812 (2013.01); H04N 21/8455 (2013.01)] 20 Claims
OG exemplary drawing
1. A computer-implemented method, comprising:
receiving video data including at least a portion of primary content, the primary content including a plurality of scenes;
analyzing at least a portion of the primary content using an object recognition module to identify one or more items within the portion of the primary content;
applying a classification to the portion of primary content, based at least in part on the identified one or more items;
determining a usage criterion associated with the classification, the usage criterion restricting presentation of related supplemental content, with respect to the classification;
determining the usage criterion satisfies one or more rules associated with a break period, the break period being after a duration of the portion of primary content;
selecting supplemental content associated with the classification of the portion of primary content, the supplemental content being identified by a line item that corresponds to the classification;
generating output video content including the primary content and the supplemental content, the supplemental content being within the break period.