US 11,868,441 B2
Duplicate frames detection
Michael S. Levin, Jersey City, NJ (US); Christopher Lynn, Brooklyn, NY (US); Alexandra Paige, New York, NY (US); Constantinos Hoppas, Mt. Kisco, NY (US); Matthew Nash, Yorba Linda, CA (US); and Rachel A. Price, New York, NY (US)
Assigned to NBCUniversal Media, LLC, New York, NY (US)
Filed by NBCUniversal Media, LLC, New York, NY (US)
Filed on Jul. 30, 2021, as Appl. No. 17/390,321.
Claims priority of provisional application 63/081,684, filed on Sep. 22, 2020.
Prior Publication US 2022/0092341 A1, Mar. 24, 2022
Int. Cl. G06K 9/00 (2022.01); G06F 18/22 (2023.01); G06V 20/40 (2022.01); G06V 20/00 (2022.01)
CPC G06F 18/22 (2023.01) [G06V 20/41 (2022.01); G06V 20/46 (2022.01); G06V 20/95 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A method for detecting unintended duplicate frames in content, comprising:
identifying, via one or more processors, one or more duplicate frames within the content;
calculating, via the one or more processors, an average frame distance between the one or more duplicate frames;
determining, via the one or more processors, whether the one or more duplicate frames are generated without intent based on the average frame distance between the one or more duplicate frames; and
providing, via the one or more processors, an indication of whether the one or more duplicate frames are generated without intent to a client device.