US 12,273,572 B2
System and method to identify programs and commercials in video content via unsupervised static content identification
Aneesh Vartakavi, Emeryville, CA (US); and Arthur Findelair, Emeryville, CA (US)
Assigned to Gracenote, Inc., New York, NY (US)
Filed by Gracenote, Inc., Emeryville, CA (US)
Filed on Mar. 31, 2023, as Appl. No. 18/193,962.
Claims priority of provisional application 63/326,486, filed on Apr. 1, 2022.
Prior Publication US 2023/0328297 A1, Oct. 12, 2023
Int. Cl. H04N 21/234 (2011.01); H04N 21/81 (2011.01); H04N 21/845 (2011.01)
CPC H04N 21/23418 (2013.01) [H04N 21/812 (2013.01); H04N 21/845 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
determining, by a computing system, a mean image of a set of frames of video content;
extracting, by a computing system, a reference template of static content from the mean image;
identifying, by the computing system, presence of the extracted reference template of static content in a frame of the set of frames of the video content;
labeling, by the computing system, a segment within the video content as either a program segment or an advertisement segment based on the identified presence of the extracted reference template of static content in the frame of the video content; and
generating, by the computing system, data identifying the labeled segment.